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Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

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Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

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The Impact of Digital Technologies

Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable Development Goals – from ending extreme poverty to reducing maternal and infant mortality, promoting sustainable farming and decent work, and achieving universal literacy. But technologies can also threaten privacy, erode security and fuel inequality. They have implications for human rights and human agency. Like generations before, we – governments, businesses and individuals – have a choice to make in how we harness and manage new technologies.

A DIGITAL FUTURE FOR ALL?

Digital technologies have advanced more rapidly than any innovation in our history – reaching around 50 per cent of the developing world’s population in only two decades and transforming societies. By enhancing connectivity, financial inclusion, access to trade and public services, technology can be a great equaliser.

In the health sector, for instance, AI-enabled frontier technologies are helping to save lives, diagnose diseases and extend life expectancy. In education, virtual learning environments and distance learning have opened up programmes to students who would otherwise be excluded. Public services are also becoming more accessible and accountable through blockchain-powered systems, and less bureaucratically burdensome as a result of AI assistance.Big data can also support more responsive and accurate policies and programmes.

However, those yet to be connected remain cut off from the benefits of this new era and remain further behind. Many of the people left behind are women, the elderly, persons with disabilities or from ethnic or linguistic minorities, indigenous groups and residents of poor or remote areas. The pace of connectivity is slowing, even reversing, among some constituencies. For example, globally, the proportion of women using the internet is 12 per cent lower than that of men. While this gap narrowed in most regions between 2013 and 2017, it widened in the least developed countries from 30 per cent to 33 per cent.

The use of algorithms can replicate and even amplify human and systemic bias where they function on the basis of data which is not adequately diverse. Lack of diversity in the technology sector can mean that this challenge is not adequately addressed.

THE FUTURE OF WORK

Throughout history, technological revolutions have changed the labour force: creating new forms and patterns of work, making others obsolete, and leading to wider societal changes. This current wave of change is likely to have profound impacts. For example, the International Labour Organization estimates that the shift to a greener economy could create 24 million new jobs globally by 2030 through the adoption of sustainable practices in the energy sector, the use of electric vehicles and increasing energy efficiency in existing and future buildings.

Meanwhile, reports by groups such as McKinsey suggest that 800 million people could lose their jobs to automation by 2030 , while polls reveal that the majority of all employees worry that they do not have the necessary training or skills to get a well-paid job.

There is broad agreement that managing these trends will require changes in our approach to education, for instance, by placing more emphasis on science, technology, engineering, and maths; by teaching soft skills, and resilience; and by ensuring that people can re-skill and up-skill throughout their lifetimes. Unpaid work, for example childcare and elderly care in the home, will need to be better supported, especially as with the shifting age profile of global populations, the demands on these tasks are likely to increase.

THE FUTURE OF DATA

Today, digital technologies such as data pooling and AI are used to track and diagnose issues in agriculture, health, and the environment, or to perform daily tasks such as navigating traffic or paying a bill. They can be used to defend and exercise human rights – but they can also be used to violate them, for example, by monitoring our movements, purchases, conversations and behaviours. Governments and businesses increasingly have the tools to mine and exploit data for financial and other purposes.

However, personal data would become an asset to a person, if there were a formula for better regulation of personal data ownership. Data-powered technology has the potential to empower individuals, improve human welfare, and promote universal rights, depending on the type of protections put in place.

THE FUTURE OF SOCIAL MEDIA

Social media connects almost half of the entire global population . It enables people to make their voices heard and to talk to people across the world in real time. However, it can also reinforce prejudices and sow discord, by giving hate speech and misinformation a platform, or by amplifying echo chambers.

In this way, social media algorithms can fuel the fragmentation of societies around the world. And yet they also have the potential to do the opposite.

THE FUTURE OF CYBERSPACE

How to manage these developments is the subject of much discussion – nationally and internationally – at a time when geopolitical tensions are on the rise. The UN Secretary-General has warned of a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade and financial rules and contradictory geopolitical and military views. Such a divide could establish a digital Berlin Wall. Increasingly, digital cooperation between states – and a universal cyberspace that reflects global standards for peace and security, human rights and sustainable development – is seen as crucial to ensuring a united world. A ‘global commitment for digital cooperation’ is a key recommendation by the Secretary-General’s High-level Panel on Digital Cooperation .

FOR MORE INFORMATION

The Sustainable Development Goals

The Age of Digital Interdependence: Report of the UN Secretary-General’s High-level Panel on Digital Cooperation

ILO | Global Commission on the Future of Work

Secretary General’s Address to the 74th Session of the UN General Assembly

Secretary General’s Strategy on New Technology

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How artificial intelligence is transforming the world

Subscribe to techstream, darrell m. west and darrell m. west senior fellow - center for technology innovation , douglas dillon chair in governmental studies john r. allen john r. allen.

April 24, 2018

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. In this report, Darrell West and John Allen discuss AI’s application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.

Table of Contents I. Qualities of artificial intelligence II. Applications in diverse sectors III. Policy, regulatory, and ethical issues IV. Recommendations V. Conclusion

• 49 min read

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. 1 A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values. 2

In order to maximize AI benefits, we recommend nine steps for going forward:

• Encourage greater data access for researchers without compromising users’ personal privacy,
• invest more government funding in unclassified AI research,
• promote new models of digital education and AI workforce development so employees have the skills needed in the 21 st -century economy,
• create a federal AI advisory committee to make policy recommendations,
• engage with state and local officials so they enact effective policies,
• regulate broad AI principles rather than specific algorithms,
• take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
• maintain mechanisms for human oversight and control, and
• penalize malicious AI behavior and promote cybersecurity.

Qualities of artificial intelligence

Although there is no uniformly agreed upon definition, AI generally is thought to refer to “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention.” 3  According to researchers Shubhendu and Vijay, these software systems “make decisions which normally require [a] human level of expertise” and help people anticipate problems or deal with issues as they come up. 4 As such, they operate in an intentional, intelligent, and adaptive manner.

Intentionality

Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance.

Intelligence

AI generally is undertaken in conjunction with machine learning and data analytics. 5 Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues. All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

Adaptability

AI systems have the ability to learn and adapt as they make decisions. In the transportation area, for example, semi-autonomous vehicles have tools that let drivers and vehicles know about upcoming congestion, potholes, highway construction, or other possible traffic impediments. Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their achieved “experience” is immediately and fully transferable to other similarly configured vehicles. Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions.

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Applications in diverse sectors

AI is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors. This includes fields such as finance, national security, health care, criminal justice, transportation, and smart cities. There are numerous examples where AI already is making an impact on the world and augmenting human capabilities in significant ways. 6

One of the reasons for the growing role of AI is the tremendous opportunities for economic development that it presents. A project undertaken by PriceWaterhouseCoopers estimated that “artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14%, by 2030.” 7 That includes advances of $7 trillion in China, $3.7 trillion in North America, $1.8 trillion in Northern Europe, $1.2 trillion for Africa and Oceania, $0.9 trillion in the rest of Asia outside of China, $0.7 trillion in Southern Europe, and $0.5 trillion in Latin America. China is making rapid strides because it has set a national goal of investing $150 billion in AI and becoming the global leader in this area by 2030.

Meanwhile, a McKinsey Global Institute study of China found that “AI-led automation can give the Chinese economy a productivity injection that would add 0.8 to 1.4 percentage points to GDP growth annually, depending on the speed of adoption.” 8 Although its authors found that China currently lags the United States and the United Kingdom in AI deployment, the sheer size of its AI market gives that country tremendous opportunities for pilot testing and future development.

Investments in financial AI in the United States tripled between 2013 and 2014 to a total of $12.2 billion. 9 According to observers in that sector, “Decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check.” 10 In addition, there are so-called robo-advisers that “create personalized investment portfolios, obviating the need for stockbrokers and financial advisers.” 11 These advances are designed to take the emotion out of investing and undertake decisions based on analytical considerations, and make these choices in a matter of minutes.

A prominent example of this is taking place in stock exchanges, where high-frequency trading by machines has replaced much of human decisionmaking. People submit buy and sell orders, and computers match them in the blink of an eye without human intervention. Machines can spot trading inefficiencies or market differentials on a very small scale and execute trades that make money according to investor instructions. 12 Powered in some places by advanced computing, these tools have much greater capacities for storing information because of their emphasis not on a zero or a one, but on “quantum bits” that can store multiple values in each location. 13 That dramatically increases storage capacity and decreases processing times.

Fraud detection represents another way AI is helpful in financial systems. It sometimes is difficult to discern fraudulent activities in large organizations, but AI can identify abnormalities, outliers, or deviant cases requiring additional investigation. That helps managers find problems early in the cycle, before they reach dangerous levels. 14

National security

AI plays a substantial role in national defense. Through its Project Maven, the American military is deploying AI “to sift through the massive troves of data and video captured by surveillance and then alert human analysts of patterns or when there is abnormal or suspicious activity.” 15 According to Deputy Secretary of Defense Patrick Shanahan, the goal of emerging technologies in this area is “to meet our warfighters’ needs and to increase [the] speed and agility [of] technology development and procurement.” 16

Artificial intelligence will accelerate the traditional process of warfare so rapidly that a new term has been coined: hyperwar.

The big data analytics associated with AI will profoundly affect intelligence analysis, as massive amounts of data are sifted in near real time—if not eventually in real time—thereby providing commanders and their staffs a level of intelligence analysis and productivity heretofore unseen. Command and control will similarly be affected as human commanders delegate certain routine, and in special circumstances, key decisions to AI platforms, reducing dramatically the time associated with the decision and subsequent action. In the end, warfare is a time competitive process, where the side able to decide the fastest and move most quickly to execution will generally prevail. Indeed, artificially intelligent intelligence systems, tied to AI-assisted command and control systems, can move decision support and decisionmaking to a speed vastly superior to the speeds of the traditional means of waging war. So fast will be this process, especially if coupled to automatic decisions to launch artificially intelligent autonomous weapons systems capable of lethal outcomes, that a new term has been coined specifically to embrace the speed at which war will be waged: hyperwar.

While the ethical and legal debate is raging over whether America will ever wage war with artificially intelligent autonomous lethal systems, the Chinese and Russians are not nearly so mired in this debate, and we should anticipate our need to defend against these systems operating at hyperwar speeds. The challenge in the West of where to position “humans in the loop” in a hyperwar scenario will ultimately dictate the West’s capacity to be competitive in this new form of conflict. 17

Just as AI will profoundly affect the speed of warfare, the proliferation of zero day or zero second cyber threats as well as polymorphic malware will challenge even the most sophisticated signature-based cyber protection. This forces significant improvement to existing cyber defenses. Increasingly, vulnerable systems are migrating, and will need to shift to a layered approach to cybersecurity with cloud-based, cognitive AI platforms. This approach moves the community toward a “thinking” defensive capability that can defend networks through constant training on known threats. This capability includes DNA-level analysis of heretofore unknown code, with the possibility of recognizing and stopping inbound malicious code by recognizing a string component of the file. This is how certain key U.S.-based systems stopped the debilitating “WannaCry” and “Petya” viruses.

Preparing for hyperwar and defending critical cyber networks must become a high priority because China, Russia, North Korea, and other countries are putting substantial resources into AI. In 2017, China’s State Council issued a plan for the country to “build a domestic industry worth almost $150 billion” by 2030. 18 As an example of the possibilities, the Chinese search firm Baidu has pioneered a facial recognition application that finds missing people. In addition, cities such as Shenzhen are providing up to $1 million to support AI labs. That country hopes AI will provide security, combat terrorism, and improve speech recognition programs. 19 The dual-use nature of many AI algorithms will mean AI research focused on one sector of society can be rapidly modified for use in the security sector as well. 20

Health care

AI tools are helping designers improve computational sophistication in health care. For example, Merantix is a German company that applies deep learning to medical issues. It has an application in medical imaging that “detects lymph nodes in the human body in Computer Tomography (CT) images.” 21 According to its developers, the key is labeling the nodes and identifying small lesions or growths that could be problematic. Humans can do this, but radiologists charge $100 per hour and may be able to carefully read only four images an hour. If there were 10,000 images, the cost of this process would be $250,000, which is prohibitively expensive if done by humans.

What deep learning can do in this situation is train computers on data sets to learn what a normal-looking versus an irregular-appearing lymph node is. After doing that through imaging exercises and honing the accuracy of the labeling, radiological imaging specialists can apply this knowledge to actual patients and determine the extent to which someone is at risk of cancerous lymph nodes. Since only a few are likely to test positive, it is a matter of identifying the unhealthy versus healthy node.

AI has been applied to congestive heart failure as well, an illness that afflicts 10 percent of senior citizens and costs $35 billion each year in the United States. AI tools are helpful because they “predict in advance potential challenges ahead and allocate resources to patient education, sensing, and proactive interventions that keep patients out of the hospital.” 22

Criminal justice

AI is being deployed in the criminal justice area. The city of Chicago has developed an AI-driven “Strategic Subject List” that analyzes people who have been arrested for their risk of becoming future perpetrators. It ranks 400,000 people on a scale of 0 to 500, using items such as age, criminal activity, victimization, drug arrest records, and gang affiliation. In looking at the data, analysts found that youth is a strong predictor of violence, being a shooting victim is associated with becoming a future perpetrator, gang affiliation has little predictive value, and drug arrests are not significantly associated with future criminal activity. 23

Judicial experts claim AI programs reduce human bias in law enforcement and leads to a fairer sentencing system. R Street Institute Associate Caleb Watney writes:

Empirically grounded questions of predictive risk analysis play to the strengths of machine learning, automated reasoning and other forms of AI. One machine-learning policy simulation concluded that such programs could be used to cut crime up to 24.8 percent with no change in jailing rates, or reduce jail populations by up to 42 percent with no increase in crime rates. 24

However, critics worry that AI algorithms represent “a secret system to punish citizens for crimes they haven’t yet committed. The risk scores have been used numerous times to guide large-scale roundups.” 25 The fear is that such tools target people of color unfairly and have not helped Chicago reduce the murder wave that has plagued it in recent years.

Despite these concerns, other countries are moving ahead with rapid deployment in this area. In China, for example, companies already have “considerable resources and access to voices, faces and other biometric data in vast quantities, which would help them develop their technologies.” 26 New technologies make it possible to match images and voices with other types of information, and to use AI on these combined data sets to improve law enforcement and national security. Through its “Sharp Eyes” program, Chinese law enforcement is matching video images, social media activity, online purchases, travel records, and personal identity into a “police cloud.” This integrated database enables authorities to keep track of criminals, potential law-breakers, and terrorists. 27 Put differently, China has become the world’s leading AI-powered surveillance state.

Transportation

Transportation represents an area where AI and machine learning are producing major innovations. Research by Cameron Kerry and Jack Karsten of the Brookings Institution has found that over $80 billion was invested in autonomous vehicle technology between August 2014 and June 2017. Those investments include applications both for autonomous driving and the core technologies vital to that sector. 28

Autonomous vehicles—cars, trucks, buses, and drone delivery systems—use advanced technological capabilities. Those features include automated vehicle guidance and braking, lane-changing systems, the use of cameras and sensors for collision avoidance, the use of AI to analyze information in real time, and the use of high-performance computing and deep learning systems to adapt to new circumstances through detailed maps. 29

Light detection and ranging systems (LIDARs) and AI are key to navigation and collision avoidance. LIDAR systems combine light and radar instruments. They are mounted on the top of vehicles that use imaging in a 360-degree environment from a radar and light beams to measure the speed and distance of surrounding objects. Along with sensors placed on the front, sides, and back of the vehicle, these instruments provide information that keeps fast-moving cars and trucks in their own lane, helps them avoid other vehicles, applies brakes and steering when needed, and does so instantly so as to avoid accidents.

Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. This means that software is the key—not the physical car or truck itself.

Since these cameras and sensors compile a huge amount of information and need to process it instantly to avoid the car in the next lane, autonomous vehicles require high-performance computing, advanced algorithms, and deep learning systems to adapt to new scenarios. This means that software is the key, not the physical car or truck itself. 30 Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. 31

Ride-sharing companies are very interested in autonomous vehicles. They see advantages in terms of customer service and labor productivity. All of the major ride-sharing companies are exploring driverless cars. The surge of car-sharing and taxi services—such as Uber and Lyft in the United States, Daimler’s Mytaxi and Hailo service in Great Britain, and Didi Chuxing in China—demonstrate the opportunities of this transportation option. Uber recently signed an agreement to purchase 24,000 autonomous cars from Volvo for its ride-sharing service. 32

However, the ride-sharing firm suffered a setback in March 2018 when one of its autonomous vehicles in Arizona hit and killed a pedestrian. Uber and several auto manufacturers immediately suspended testing and launched investigations into what went wrong and how the fatality could have occurred. 33 Both industry and consumers want reassurance that the technology is safe and able to deliver on its stated promises. Unless there are persuasive answers, this accident could slow AI advancements in the transportation sector.

Smart cities

Metropolitan governments are using AI to improve urban service delivery. For example, according to Kevin Desouza, Rashmi Krishnamurthy, and Gregory Dawson:

The Cincinnati Fire Department is using data analytics to optimize medical emergency responses. The new analytics system recommends to the dispatcher an appropriate response to a medical emergency call—whether a patient can be treated on-site or needs to be taken to the hospital—by taking into account several factors, such as the type of call, location, weather, and similar calls. 34

Since it fields 80,000 requests each year, Cincinnati officials are deploying this technology to prioritize responses and determine the best ways to handle emergencies. They see AI as a way to deal with large volumes of data and figure out efficient ways of responding to public requests. Rather than address service issues in an ad hoc manner, authorities are trying to be proactive in how they provide urban services.

Cincinnati is not alone. A number of metropolitan areas are adopting smart city applications that use AI to improve service delivery, environmental planning, resource management, energy utilization, and crime prevention, among other things. For its smart cities index, the magazine Fast Company ranked American locales and found Seattle, Boston, San Francisco, Washington, D.C., and New York City as the top adopters. Seattle, for example, has embraced sustainability and is using AI to manage energy usage and resource management. Boston has launched a “City Hall To Go” that makes sure underserved communities receive needed public services. It also has deployed “cameras and inductive loops to manage traffic and acoustic sensors to identify gun shots.” San Francisco has certified 203 buildings as meeting LEED sustainability standards. 35

Through these and other means, metropolitan areas are leading the country in the deployment of AI solutions. Indeed, according to a National League of Cities report, 66 percent of American cities are investing in smart city technology. Among the top applications noted in the report are “smart meters for utilities, intelligent traffic signals, e-governance applications, Wi-Fi kiosks, and radio frequency identification sensors in pavement.” 36

Policy, regulatory, and ethical issues

These examples from a variety of sectors demonstrate how AI is transforming many walks of human existence. The increasing penetration of AI and autonomous devices into many aspects of life is altering basic operations and decisionmaking within organizations, and improving efficiency and response times.

At the same time, though, these developments raise important policy, regulatory, and ethical issues. For example, how should we promote data access? How do we guard against biased or unfair data used in algorithms? What types of ethical principles are introduced through software programming, and how transparent should designers be about their choices? What about questions of legal liability in cases where algorithms cause harm? 37

The increasing penetration of AI into many aspects of life is altering decisionmaking within organizations and improving efficiency. At the same time, though, these developments raise important policy, regulatory, and ethical issues.

Data access problems

The key to getting the most out of AI is having a “data-friendly ecosystem with unified standards and cross-platform sharing.” AI depends on data that can be analyzed in real time and brought to bear on concrete problems. Having data that are “accessible for exploration” in the research community is a prerequisite for successful AI development. 38

According to a McKinsey Global Institute study, nations that promote open data sources and data sharing are the ones most likely to see AI advances. In this regard, the United States has a substantial advantage over China. Global ratings on data openness show that U.S. ranks eighth overall in the world, compared to 93 for China. 39

But right now, the United States does not have a coherent national data strategy. There are few protocols for promoting research access or platforms that make it possible to gain new insights from proprietary data. It is not always clear who owns data or how much belongs in the public sphere. These uncertainties limit the innovation economy and act as a drag on academic research. In the following section, we outline ways to improve data access for researchers.

Biases in data and algorithms

In some instances, certain AI systems are thought to have enabled discriminatory or biased practices. 40 For example, Airbnb has been accused of having homeowners on its platform who discriminate against racial minorities. A research project undertaken by the Harvard Business School found that “Airbnb users with distinctly African American names were roughly 16 percent less likely to be accepted as guests than those with distinctly white names.” 41

Racial issues also come up with facial recognition software. Most such systems operate by comparing a person’s face to a range of faces in a large database. As pointed out by Joy Buolamwini of the Algorithmic Justice League, “If your facial recognition data contains mostly Caucasian faces, that’s what your program will learn to recognize.” 42 Unless the databases have access to diverse data, these programs perform poorly when attempting to recognize African-American or Asian-American features.

Many historical data sets reflect traditional values, which may or may not represent the preferences wanted in a current system. As Buolamwini notes, such an approach risks repeating inequities of the past:

The rise of automation and the increased reliance on algorithms for high-stakes decisions such as whether someone get insurance or not, your likelihood to default on a loan or somebody’s risk of recidivism means this is something that needs to be addressed. Even admissions decisions are increasingly automated—what school our children go to and what opportunities they have. We don’t have to bring the structural inequalities of the past into the future we create. 43

AI ethics and transparency

Algorithms embed ethical considerations and value choices into program decisions. As such, these systems raise questions concerning the criteria used in automated decisionmaking. Some people want to have a better understanding of how algorithms function and what choices are being made. 44

In the United States, many urban schools use algorithms for enrollment decisions based on a variety of considerations, such as parent preferences, neighborhood qualities, income level, and demographic background. According to Brookings researcher Jon Valant, the New Orleans–based Bricolage Academy “gives priority to economically disadvantaged applicants for up to 33 percent of available seats. In practice, though, most cities have opted for categories that prioritize siblings of current students, children of school employees, and families that live in school’s broad geographic area.” 45 Enrollment choices can be expected to be very different when considerations of this sort come into play.

Depending on how AI systems are set up, they can facilitate the redlining of mortgage applications, help people discriminate against individuals they don’t like, or help screen or build rosters of individuals based on unfair criteria. The types of considerations that go into programming decisions matter a lot in terms of how the systems operate and how they affect customers. 46

For these reasons, the EU is implementing the General Data Protection Regulation (GDPR) in May 2018. The rules specify that people have “the right to opt out of personally tailored ads” and “can contest ‘legal or similarly significant’ decisions made by algorithms and appeal for human intervention” in the form of an explanation of how the algorithm generated a particular outcome. Each guideline is designed to ensure the protection of personal data and provide individuals with information on how the “black box” operates. 47

Legal liability

There are questions concerning the legal liability of AI systems. If there are harms or infractions (or fatalities in the case of driverless cars), the operators of the algorithm likely will fall under product liability rules. A body of case law has shown that the situation’s facts and circumstances determine liability and influence the kind of penalties that are imposed. Those can range from civil fines to imprisonment for major harms. 48 The Uber-related fatality in Arizona will be an important test case for legal liability. The state actively recruited Uber to test its autonomous vehicles and gave the company considerable latitude in terms of road testing. It remains to be seen if there will be lawsuits in this case and who is sued: the human backup driver, the state of Arizona, the Phoenix suburb where the accident took place, Uber, software developers, or the auto manufacturer. Given the multiple people and organizations involved in the road testing, there are many legal questions to be resolved.

In non-transportation areas, digital platforms often have limited liability for what happens on their sites. For example, in the case of Airbnb, the firm “requires that people agree to waive their right to sue, or to join in any class-action lawsuit or class-action arbitration, to use the service.” By demanding that its users sacrifice basic rights, the company limits consumer protections and therefore curtails the ability of people to fight discrimination arising from unfair algorithms. 49 But whether the principle of neutral networks holds up in many sectors is yet to be determined on a widespread basis.

Recommendations

In order to balance innovation with basic human values, we propose a number of recommendations for moving forward with AI. This includes improving data access, increasing government investment in AI, promoting AI workforce development, creating a federal advisory committee, engaging with state and local officials to ensure they enact effective policies, regulating broad objectives as opposed to specific algorithms, taking bias seriously as an AI issue, maintaining mechanisms for human control and oversight, and penalizing malicious behavior and promoting cybersecurity.

Improving data access

The United States should develop a data strategy that promotes innovation and consumer protection. Right now, there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design. AI requires data to test and improve its learning capacity. 50 Without structured and unstructured data sets, it will be nearly impossible to gain the full benefits of artificial intelligence.

In general, the research community needs better access to government and business data, although with appropriate safeguards to make sure researchers do not misuse data in the way Cambridge Analytica did with Facebook information. There is a variety of ways researchers could gain data access. One is through voluntary agreements with companies holding proprietary data. Facebook, for example, recently announced a partnership with Stanford economist Raj Chetty to use its social media data to explore inequality. 51 As part of the arrangement, researchers were required to undergo background checks and could only access data from secured sites in order to protect user privacy and security.

In the U.S., there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design.

Google long has made available search results in aggregated form for researchers and the general public. Through its “Trends” site, scholars can analyze topics such as interest in Trump, views about democracy, and perspectives on the overall economy. 52 That helps people track movements in public interest and identify topics that galvanize the general public.

Twitter makes much of its tweets available to researchers through application programming interfaces, commonly referred to as APIs. These tools help people outside the company build application software and make use of data from its social media platform. They can study patterns of social media communications and see how people are commenting on or reacting to current events.

In some sectors where there is a discernible public benefit, governments can facilitate collaboration by building infrastructure that shares data. For example, the National Cancer Institute has pioneered a data-sharing protocol where certified researchers can query health data it has using de-identified information drawn from clinical data, claims information, and drug therapies. That enables researchers to evaluate efficacy and effectiveness, and make recommendations regarding the best medical approaches, without compromising the privacy of individual patients.

There could be public-private data partnerships that combine government and business data sets to improve system performance. For example, cities could integrate information from ride-sharing services with its own material on social service locations, bus lines, mass transit, and highway congestion to improve transportation. That would help metropolitan areas deal with traffic tie-ups and assist in highway and mass transit planning.

Some combination of these approaches would improve data access for researchers, the government, and the business community, without impinging on personal privacy. As noted by Ian Buck, the vice president of NVIDIA, “Data is the fuel that drives the AI engine. The federal government has access to vast sources of information. Opening access to that data will help us get insights that will transform the U.S. economy.” 53 Through its Data.gov portal, the federal government already has put over 230,000 data sets into the public domain, and this has propelled innovation and aided improvements in AI and data analytic technologies. 54 The private sector also needs to facilitate research data access so that society can achieve the full benefits of artificial intelligence.

Increase government investment in AI

According to Greg Brockman, the co-founder of OpenAI, the U.S. federal government invests only $1.1 billion in non-classified AI technology. 55 That is far lower than the amount being spent by China or other leading nations in this area of research. That shortfall is noteworthy because the economic payoffs of AI are substantial. In order to boost economic development and social innovation, federal officials need to increase investment in artificial intelligence and data analytics. Higher investment is likely to pay for itself many times over in economic and social benefits. 56

Promote digital education and workforce development

As AI applications accelerate across many sectors, it is vital that we reimagine our educational institutions for a world where AI will be ubiquitous and students need a different kind of training than they currently receive. Right now, many students do not receive instruction in the kinds of skills that will be needed in an AI-dominated landscape. For example, there currently are shortages of data scientists, computer scientists, engineers, coders, and platform developers. These are skills that are in short supply; unless our educational system generates more people with these capabilities, it will limit AI development.

For these reasons, both state and federal governments have been investing in AI human capital. For example, in 2017, the National Science Foundation funded over 6,500 graduate students in computer-related fields and has launched several new initiatives designed to encourage data and computer science at all levels from pre-K to higher and continuing education. 57 The goal is to build a larger pipeline of AI and data analytic personnel so that the United States can reap the full advantages of the knowledge revolution.

But there also needs to be substantial changes in the process of learning itself. It is not just technical skills that are needed in an AI world but skills of critical reasoning, collaboration, design, visual display of information, and independent thinking, among others. AI will reconfigure how society and the economy operate, and there needs to be “big picture” thinking on what this will mean for ethics, governance, and societal impact. People will need the ability to think broadly about many questions and integrate knowledge from a number of different areas.

One example of new ways to prepare students for a digital future is IBM’s Teacher Advisor program, utilizing Watson’s free online tools to help teachers bring the latest knowledge into the classroom. They enable instructors to develop new lesson plans in STEM and non-STEM fields, find relevant instructional videos, and help students get the most out of the classroom. 58 As such, they are precursors of new educational environments that need to be created.

Create a federal AI advisory committee

Federal officials need to think about how they deal with artificial intelligence. As noted previously, there are many issues ranging from the need for improved data access to addressing issues of bias and discrimination. It is vital that these and other concerns be considered so we gain the full benefits of this emerging technology.

In order to move forward in this area, several members of Congress have introduced the “Future of Artificial Intelligence Act,” a bill designed to establish broad policy and legal principles for AI. It proposes the secretary of commerce create a federal advisory committee on the development and implementation of artificial intelligence. The legislation provides a mechanism for the federal government to get advice on ways to promote a “climate of investment and innovation to ensure the global competitiveness of the United States,” “optimize the development of artificial intelligence to address the potential growth, restructuring, or other changes in the United States workforce,” “support the unbiased development and application of artificial intelligence,” and “protect the privacy rights of individuals.” 59

Among the specific questions the committee is asked to address include the following: competitiveness, workforce impact, education, ethics training, data sharing, international cooperation, accountability, machine learning bias, rural impact, government efficiency, investment climate, job impact, bias, and consumer impact. The committee is directed to submit a report to Congress and the administration 540 days after enactment regarding any legislative or administrative action needed on AI.

This legislation is a step in the right direction, although the field is moving so rapidly that we would recommend shortening the reporting timeline from 540 days to 180 days. Waiting nearly two years for a committee report will certainly result in missed opportunities and a lack of action on important issues. Given rapid advances in the field, having a much quicker turnaround time on the committee analysis would be quite beneficial.

Engage with state and local officials

States and localities also are taking action on AI. For example, the New York City Council unanimously passed a bill that directed the mayor to form a taskforce that would “monitor the fairness and validity of algorithms used by municipal agencies.” 60 The city employs algorithms to “determine if a lower bail will be assigned to an indigent defendant, where firehouses are established, student placement for public schools, assessing teacher performance, identifying Medicaid fraud and determine where crime will happen next.” 61

According to the legislation’s developers, city officials want to know how these algorithms work and make sure there is sufficient AI transparency and accountability. In addition, there is concern regarding the fairness and biases of AI algorithms, so the taskforce has been directed to analyze these issues and make recommendations regarding future usage. It is scheduled to report back to the mayor on a range of AI policy, legal, and regulatory issues by late 2019.

Some observers already are worrying that the taskforce won’t go far enough in holding algorithms accountable. For example, Julia Powles of Cornell Tech and New York University argues that the bill originally required companies to make the AI source code available to the public for inspection, and that there be simulations of its decisionmaking using actual data. After criticism of those provisions, however, former Councilman James Vacca dropped the requirements in favor of a task force studying these issues. He and other city officials were concerned that publication of proprietary information on algorithms would slow innovation and make it difficult to find AI vendors who would work with the city. 62 It remains to be seen how this local task force will balance issues of innovation, privacy, and transparency.

Regulate broad objectives more than specific algorithms

The European Union has taken a restrictive stance on these issues of data collection and analysis. 63 It has rules limiting the ability of companies from collecting data on road conditions and mapping street views. Because many of these countries worry that people’s personal information in unencrypted Wi-Fi networks are swept up in overall data collection, the EU has fined technology firms, demanded copies of data, and placed limits on the material collected. 64 This has made it more difficult for technology companies operating there to develop the high-definition maps required for autonomous vehicles.

The GDPR being implemented in Europe place severe restrictions on the use of artificial intelligence and machine learning. According to published guidelines, “Regulations prohibit any automated decision that ‘significantly affects’ EU citizens. This includes techniques that evaluates a person’s ‘performance at work, economic situation, health, personal preferences, interests, reliability, behavior, location, or movements.’” 65 In addition, these new rules give citizens the right to review how digital services made specific algorithmic choices affecting people.

By taking a restrictive stance on issues of data collection and analysis, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

If interpreted stringently, these rules will make it difficult for European software designers (and American designers who work with European counterparts) to incorporate artificial intelligence and high-definition mapping in autonomous vehicles. Central to navigation in these cars and trucks is tracking location and movements. Without high-definition maps containing geo-coded data and the deep learning that makes use of this information, fully autonomous driving will stagnate in Europe. Through this and other data protection actions, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

It makes more sense to think about the broad objectives desired in AI and enact policies that advance them, as opposed to governments trying to crack open the “black boxes” and see exactly how specific algorithms operate. Regulating individual algorithms will limit innovation and make it difficult for companies to make use of artificial intelligence.

Take biases seriously

Bias and discrimination are serious issues for AI. There already have been a number of cases of unfair treatment linked to historic data, and steps need to be undertaken to make sure that does not become prevalent in artificial intelligence. Existing statutes governing discrimination in the physical economy need to be extended to digital platforms. That will help protect consumers and build confidence in these systems as a whole.

For these advances to be widely adopted, more transparency is needed in how AI systems operate. Andrew Burt of Immuta argues, “The key problem confronting predictive analytics is really transparency. We’re in a world where data science operations are taking on increasingly important tasks, and the only thing holding them back is going to be how well the data scientists who train the models can explain what it is their models are doing.” 66

Maintaining mechanisms for human oversight and control

Some individuals have argued that there needs to be avenues for humans to exercise oversight and control of AI systems. For example, Allen Institute for Artificial Intelligence CEO Oren Etzioni argues there should be rules for regulating these systems. First, he says, AI must be governed by all the laws that already have been developed for human behavior, including regulations concerning “cyberbullying, stock manipulation or terrorist threats,” as well as “entrap[ping] people into committing crimes.” Second, he believes that these systems should disclose they are automated systems and not human beings. Third, he states, “An A.I. system cannot retain or disclose confidential information without explicit approval from the source of that information.” 67 His rationale is that these tools store so much data that people have to be cognizant of the privacy risks posed by AI.

In the same vein, the IEEE Global Initiative has ethical guidelines for AI and autonomous systems. Its experts suggest that these models be programmed with consideration for widely accepted human norms and rules for behavior. AI algorithms need to take into effect the importance of these norms, how norm conflict can be resolved, and ways these systems can be transparent about norm resolution. Software designs should be programmed for “nondeception” and “honesty,” according to ethics experts. When failures occur, there must be mitigation mechanisms to deal with the consequences. In particular, AI must be sensitive to problems such as bias, discrimination, and fairness. 68

A group of machine learning experts claim it is possible to automate ethical decisionmaking. Using the trolley problem as a moral dilemma, they ask the following question: If an autonomous car goes out of control, should it be programmed to kill its own passengers or the pedestrians who are crossing the street? They devised a “voting-based system” that asked 1.3 million people to assess alternative scenarios, summarized the overall choices, and applied the overall perspective of these individuals to a range of vehicular possibilities. That allowed them to automate ethical decisionmaking in AI algorithms, taking public preferences into account. 69 This procedure, of course, does not reduce the tragedy involved in any kind of fatality, such as seen in the Uber case, but it provides a mechanism to help AI developers incorporate ethical considerations in their planning.

Penalize malicious behavior and promote cybersecurity

As with any emerging technology, it is important to discourage malicious treatment designed to trick software or use it for undesirable ends. 70 This is especially important given the dual-use aspects of AI, where the same tool can be used for beneficial or malicious purposes. The malevolent use of AI exposes individuals and organizations to unnecessary risks and undermines the virtues of the emerging technology. This includes behaviors such as hacking, manipulating algorithms, compromising privacy and confidentiality, or stealing identities. Efforts to hijack AI in order to solicit confidential information should be seriously penalized as a way to deter such actions. 71

In a rapidly changing world with many entities having advanced computing capabilities, there needs to be serious attention devoted to cybersecurity. Countries have to be careful to safeguard their own systems and keep other nations from damaging their security. 72 According to the U.S. Department of Homeland Security, a major American bank receives around 11 million calls a week at its service center. In order to protect its telephony from denial of service attacks, it uses a “machine learning-based policy engine [that] blocks more than 120,000 calls per month based on voice firewall policies including harassing callers, robocalls and potential fraudulent calls.” 73 This represents a way in which machine learning can help defend technology systems from malevolent attacks.

To summarize, the world is on the cusp of revolutionizing many sectors through artificial intelligence and data analytics. There already are significant deployments in finance, national security, health care, criminal justice, transportation, and smart cities that have altered decisionmaking, business models, risk mitigation, and system performance. These developments are generating substantial economic and social benefits.

The world is on the cusp of revolutionizing many sectors through artificial intelligence, but the way AI systems are developed need to be better understood due to the major implications these technologies will have for society as a whole.

Yet the manner in which AI systems unfold has major implications for society as a whole. It matters how policy issues are addressed, ethical conflicts are reconciled, legal realities are resolved, and how much transparency is required in AI and data analytic solutions. 74 Human choices about software development affect the way in which decisions are made and the manner in which they are integrated into organizational routines. Exactly how these processes are executed need to be better understood because they will have substantial impact on the general public soon, and for the foreseeable future. AI may well be a revolution in human affairs, and become the single most influential human innovation in history.

Note: We appreciate the research assistance of Grace Gilberg, Jack Karsten, Hillary Schaub, and Kristjan Tomasson on this project.

The Brookings Institution is a nonprofit organization devoted to independent research and policy solutions. Its mission is to conduct high-quality, independent research and, based on that research, to provide innovative, practical recommendations for policymakers and the public. The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars.

Support for this publication was generously provided by Amazon. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact. Activities supported by its donors reflect this commitment. 

John R. Allen is a member of the Board of Advisors of Amida Technology and on the Board of Directors of Spark Cognition. Both companies work in fields discussed in this piece.

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• Portions of this section are drawn from Darrell M. West, “Driverless Cars in China, Europe, Japan, Korea, and the United States,” Brookings Institution, September 2016.
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• Daisuke Wakabayashi, “Self-Driving Uber Car Kills Pedestrian in Arizona, Where Robots Roam,” New York Times , March 19, 2018.
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• Ibid., p. 7.
• Dominic Barton, Jonathan Woetzel, Jeongmin Seong, and Qinzheng Tian, “Artificial Intelligence: Implications for China” (New York: McKinsey Global Institute, April 2017), p. 7.
• Executive Office of the President, “Preparing for the Future of Artificial Intelligence,” October 2016, pp. 30-31.
• Elaine Glusac, “As Airbnb Grows, So Do Claims of Discrimination,” New York Times , June 21, 2016.
• “Joy Buolamwini,” Bloomberg Businessweek , July 3, 2017, p. 80.
• Mark Purdy and Paul Daugherty, “Why Artificial Intelligence is the Future of Growth,” Accenture, 2016.
• Jon Valant, “Integrating Charter Schools and Choice-Based Education Systems,” Brown Center Chalkboard blog, Brookings Institution, June 23, 2017.
• Tucker, “‘A White Mask Worked Better.’”
• Cliff Kuang, “Can A.I. Be Taught to Explain Itself?” New York Times Magazine , November 21, 2017.
• Yale Law School Information Society Project, “Governing Machine Learning,” September 2017.
• Katie Benner, “Airbnb Vows to Fight Racism, But Its Users Can’t Sue to Prompt Fairness,” New York Times , June 19, 2016.
• Executive Office of the President, “Artificial Intelligence, Automation, and the Economy” and “Preparing for the Future of Artificial Intelligence.”
• Nancy Scolar, “Facebook’s Next Project: American Inequality,” Politico , February 19, 2018.
• Darrell M. West, “What Internet Search Data Reveals about Donald Trump’s First Year in Office,” Brookings Institution policy report, January 17, 2018.
• Ian Buck, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” February 14, 2018.
• Keith Nakasone, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Greg Brockman, “The Dawn of Artificial Intelligence,” Testimony before U.S. Senate Subcommittee on Space, Science, and Competitiveness, November 30, 2016.
• Amir Khosrowshahi, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” February 14, 2018.
• James Kurose, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Stephen Noonoo, “Teachers Can Now Use IBM’s Watson to Search for Free Lesson Plans,” EdSurge , September 13, 2017.
• Congress.gov, “H.R. 4625 FUTURE of Artificial Intelligence Act of 2017,” December 12, 2017.
• Elizabeth Zima, “Could New York City’s AI Transparency Bill Be a Model for the Country?” Government Technology , January 4, 2018.
• Julia Powles, “New York City’s Bold, Flawed Attempt to Make Algorithms Accountable,” New Yorker , December 20, 2017.
• Sheera Frenkel, “Tech Giants Brace for Europe’s New Data Privacy Rules,” New York Times , January 28, 2018.
• Claire Miller and Kevin O’Brien, “Germany’s Complicated Relationship with Google Street View,” New York Times , April 23, 2013.
• Cade Metz, “Artificial Intelligence is Setting Up the Internet for a Huge Clash with Europe,” Wired , July 11, 2016.
• Eric Siegel, “Predictive Analytics Interview Series: Andrew Burt,” Predictive Analytics Times , June 14, 2017.
• Oren Etzioni, “How to Regulate Artificial Intelligence,” New York Times , September 1, 2017.
• “Ethical Considerations in Artificial Intelligence and Autonomous Systems,” unpublished paper. IEEE Global Initiative, 2018.
• Ritesh Noothigattu, Snehalkumar Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel Procaccia, “A Voting-Based System for Ethical Decision Making,” Computers and Society , September 20, 2017 (www.media.mit.edu/publications/a-voting-based-system-for-ethical-decision-making/).
• Miles Brundage, et al., “The Malicious Use of Artificial Intelligence,” University of Oxford unpublished paper, February 2018.
• John Markoff, “As Artificial Intelligence Evolves, So Does Its Criminal Potential,” New York Times, October 24, 2016, p. B3.
• Economist , “The Challenger: Technopolitics,” March 17, 2018.
• Douglas Maughan, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Levi Tillemann and Colin McCormick, “Roadmapping a U.S.-German Agenda for Artificial Intelligence Policy,” New American Foundation, March 2017.

Artificial Intelligence

Governance Studies

Center for Technology Innovation

Artificial Intelligence and Emerging Technology Initiative

Nicol Turner Lee

March 28, 2024

Joseph B. Keller

Cameron F. Kerry

March 27, 2024

Technology over the long run: zoom out to see how dramatically the world can change within a lifetime

It is easy to underestimate how much the world can change within a lifetime. considering how dramatically the world has changed can help us see how different the world could be in a few years or decades..

Technology can change the world in ways that are unimaginable until they happen. Switching on an electric light would have been unimaginable for our medieval ancestors. In their childhood, our grandparents would have struggled to imagine a world connected by smartphones and the Internet.

Similarly, it is hard for us to imagine the arrival of all those technologies that will fundamentally change the world we are used to.

We can remind ourselves that our own future might look very different from the world today by looking back at how rapidly technology has changed our world in the past. That’s what this article is about.

One insight I take away from this long-term perspective is how unusual our time is. Technological change was extremely slow in the past – the technologies that our ancestors got used to in their childhood were still central to their lives in their old age. In stark contrast to those days, we live in a time of extraordinarily fast technological change. For recent generations, it was common for technologies that were unimaginable in their youth to become common later in life.

The long-run perspective on technological change

The big visualization offers a long-term perspective on the history of technology. 1

The timeline begins at the center of the spiral. The first use of stone tools, 3.4 million years ago, marks the beginning of this history of technology. 2 Each turn of the spiral represents 200,000 years of history. It took 2.4 million years – 12 turns of the spiral – for our ancestors to control fire and use it for cooking. 3

To be able to visualize the inventions in the more recent past – the last 12,000 years – I had to unroll the spiral. I needed more space to be able to show when agriculture, writing, and the wheel were invented. During this period, technological change was faster, but it was still relatively slow: several thousand years passed between each of these three inventions.

From 1800 onwards, I stretched out the timeline even further to show the many major inventions that rapidly followed one after the other.

The long-term perspective that this chart provides makes it clear just how unusually fast technological change is in our time.

You can use this visualization to see how technology developed in particular domains. Follow, for example, the history of communication: from writing to paper, to the printing press, to the telegraph, the telephone, the radio, all the way to the Internet and smartphones.

Or follow the rapid development of human flight. In 1903, the Wright brothers took the first flight in human history (they were in the air for less than a minute), and just 66 years later, we landed on the moon. Many people saw both within their lifetimes: the first plane and the moon landing.

This large visualization also highlights the wide range of technology’s impact on our lives. It includes extraordinarily beneficial innovations, such as the vaccine that allowed humanity to eradicate smallpox , and it includes terrible innovations, like the nuclear bombs that endanger the lives of all of us .

What will the next decades bring?

The red timeline reaches up to the present and then continues in green into the future. Many children born today, even without further increases in life expectancy, will live well into the 22nd century.

New vaccines, progress in clean, low-carbon energy, better cancer treatments – a range of future innovations could very much improve our living conditions and the environment around us. But, as I argue in a series of articles , there is one technology that could even more profoundly change our world: artificial intelligence (AI).

One reason why artificial intelligence is such an important innovation is that intelligence is the main driver of innovation itself. This fast-paced technological change could speed up even more if it’s driven not only by humanity’s intelligence but also by artificial intelligence. If this happens, the change currently stretched out over decades might happen within a very brief time span of just a year. Possibly even faster. 4

I think AI technology could have a fundamentally transformative impact on our world. In many ways, it is already changing our world, as I documented in this companion article . As this technology becomes more capable in the years and decades to come, it can give immense power to those who control it (and it poses the risk that it could escape our control entirely).

Such systems might seem hard to imagine today, but AI technology is advancing quickly. Many AI experts believe there is a real chance that human-level artificial intelligence will be developed within the next decades, as I documented in this article .

Technology will continue to change the world – we should all make sure that it changes it for the better

What is familiar to us today – photography, the radio, antibiotics, the Internet, or the International Space Station circling our planet – was unimaginable to our ancestors just a few generations ago. If your great-great-great grandparents could spend a week with you, they would be blown away by your everyday life.

What I take away from this history is that I will likely see technologies in my lifetime that appear unimaginable to me today.

In addition to this trend towards increasingly rapid innovation, there is a second long-run trend. Technology has become increasingly powerful. While our ancestors wielded stone tools, we are building globe-spanning AI systems and technologies that can edit our genes.

Because of the immense power that technology gives those who control it, there is little that is as important as the question of which technologies get developed during our lifetimes. Therefore, I think it is a mistake to leave the question about the future of technology to the technologists. Which technologies are controlled by whom is one of the most important political questions of our time because of the enormous power these technologies convey to those who control them.

We all should strive to gain the knowledge we need to contribute to an intelligent debate about the world we want to live in. To a large part, this means gaining knowledge and wisdom on the question of which technologies we want.

Acknowledgments: I would like to thank my colleagues Hannah Ritchie, Bastian Herre, Natasha Ahuja, Edouard Mathieu, Daniel Bachler, Charlie Giattino, and Pablo Rosado for their helpful comments on drafts of this essay and the visualization. Thanks also to Lizka Vaintrob and Ben Clifford for the conversation that initiated this visualization.

Appendix: About the choice of visualization in this article

The recent speed of technological change makes it difficult to picture the history of technology in one visualization. When you visualize this development on a linear timeline, then most of the timeline is almost empty, while all the action is crammed into the right corner:

In my large visualization here, I tried to avoid this problem and instead show the long history of technology in a way that lets you see when each technological breakthrough happened and how, within the last millennia, there was a continuous acceleration of technological change.

The recent speed of technological change makes it difficult to picture the history of technology in one visualization. In the appendix, I show how this would look if it were linear.

It is, of course, difficult to assess when exactly the first stone tools were used.

The research by McPherron et al. (2010) suggested that it was at least 3.39 million years ago. This is based on two fossilized bones found in Dikika in Ethiopia, which showed “stone-tool cut marks for flesh removal and percussion marks for marrow access”. These marks were interpreted as being caused by meat consumption and provide the first evidence that one of our ancestors, Australopithecus afarensis, used stone tools.

The research by Harmand et al. (2015) provided evidence for stone tool use in today’s Kenya 3.3 million years ago.

References:

McPherron et al. (2010) – Evidence for stone-tool-assisted consumption of animal tissues before 3.39 million years ago at Dikika, Ethiopia . Published in Nature.

Harmand et al. (2015) – 3.3-million-year-old stone tools from Lomekwi 3, West Turkana, Kenya . Published in Nature.

Evidence for controlled fire use approximately 1 million years ago is provided by Berna et al. (2012) Microstratigraphic evidence of in situ fire in the Acheulean strata of Wonderwerk Cave, Northern Cape province, South Africa , published in PNAS.

The authors write: “The ability to control fire was a crucial turning point in human evolution, but the question of when hominins first developed this ability still remains. Here we show that micromorphological and Fourier transform infrared microspectroscopy (mFTIR) analyses of intact sediments at the site of Wonderwerk Cave, Northern Cape province, South Africa, provide unambiguous evidence—in the form of burned bone and ashed plant remains—that burning took place in the cave during the early Acheulean occupation, approximately 1.0 Ma. To the best of our knowledge, this is the earliest secure evidence for burning in an archaeological context.”

This is what authors like Holden Karnofsky called ‘Process for Automating Scientific and Technological Advancement’ or PASTA. Some recent developments go in this direction: DeepMind’s AlphaFold helped to make progress on one of the large problems in biology, and they have also developed an AI system that finds new algorithms that are relevant to building a more powerful AI.

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The present and future of AI

Finale doshi-velez on how ai is shaping our lives and how we can shape ai.

Finale Doshi-Velez, the John L. Loeb Professor of Engineering and Applied Sciences. (Photo courtesy of Eliza Grinnell/Harvard SEAS)

How has artificial intelligence changed and shaped our world over the last five years? How will AI continue to impact our lives in the coming years? Those were the questions addressed in the most recent report from the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted at Stanford University, that will study the status of AI technology and its impacts on the world over the next 100 years.

The 2021 report is the second in a series that will be released every five years until 2116. Titled “Gathering Strength, Gathering Storms,” the report explores the various ways AI is  increasingly touching people’s lives in settings that range from  movie recommendations  and  voice assistants  to  autonomous driving  and  automated medical diagnoses .

Barbara Grosz , the Higgins Research Professor of Natural Sciences at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) is a member of the standing committee overseeing the AI100 project and Finale Doshi-Velez , Gordon McKay Professor of Computer Science, is part of the panel of interdisciplinary researchers who wrote this year’s report. 

We spoke with Doshi-Velez about the report, what it says about the role AI is currently playing in our lives, and how it will change in the future.  

Q: Let's start with a snapshot: What is the current state of AI and its potential?

Doshi-Velez: Some of the biggest changes in the last five years have been how well AIs now perform in large data regimes on specific types of tasks.  We've seen [DeepMind’s] AlphaZero become the best Go player entirely through self-play, and everyday uses of AI such as grammar checks and autocomplete, automatic personal photo organization and search, and speech recognition become commonplace for large numbers of people.  

In terms of potential, I'm most excited about AIs that might augment and assist people.  They can be used to drive insights in drug discovery, help with decision making such as identifying a menu of likely treatment options for patients, and provide basic assistance, such as lane keeping while driving or text-to-speech based on images from a phone for the visually impaired.  In many situations, people and AIs have complementary strengths. I think we're getting closer to unlocking the potential of people and AI teams.

There's a much greater recognition that we should not be waiting for AI tools to become mainstream before making sure they are ethical.

Q: Over the course of 100 years, these reports will tell the story of AI and its evolving role in society. Even though there have only been two reports, what's the story so far?

There's actually a lot of change even in five years.  The first report is fairly rosy.  For example, it mentions how algorithmic risk assessments may mitigate the human biases of judges.  The second has a much more mixed view.  I think this comes from the fact that as AI tools have come into the mainstream — both in higher stakes and everyday settings — we are appropriately much less willing to tolerate flaws, especially discriminatory ones. There's also been questions of information and disinformation control as people get their news, social media, and entertainment via searches and rankings personalized to them. So, there's a much greater recognition that we should not be waiting for AI tools to become mainstream before making sure they are ethical.

Q: What is the responsibility of institutes of higher education in preparing students and the next generation of computer scientists for the future of AI and its impact on society?

First, I'll say that the need to understand the basics of AI and data science starts much earlier than higher education!  Children are being exposed to AIs as soon as they click on videos on YouTube or browse photo albums. They need to understand aspects of AI such as how their actions affect future recommendations.

But for computer science students in college, I think a key thing that future engineers need to realize is when to demand input and how to talk across disciplinary boundaries to get at often difficult-to-quantify notions of safety, equity, fairness, etc.  I'm really excited that Harvard has the Embedded EthiCS program to provide some of this education.  Of course, this is an addition to standard good engineering practices like building robust models, validating them, and so forth, which is all a bit harder with AI.

I think a key thing that future engineers need to realize is when to demand input and how to talk across disciplinary boundaries to get at often difficult-to-quantify notions of safety, equity, fairness, etc. 

Q: Your work focuses on machine learning with applications to healthcare, which is also an area of focus of this report. What is the state of AI in healthcare? 

A lot of AI in healthcare has been on the business end, used for optimizing billing, scheduling surgeries, that sort of thing.  When it comes to AI for better patient care, which is what we usually think about, there are few legal, regulatory, and financial incentives to do so, and many disincentives. Still, there's been slow but steady integration of AI-based tools, often in the form of risk scoring and alert systems.

In the near future, two applications that I'm really excited about are triage in low-resource settings — having AIs do initial reads of pathology slides, for example, if there are not enough pathologists, or get an initial check of whether a mole looks suspicious — and ways in which AIs can help identify promising treatment options for discussion with a clinician team and patient.

Q: Any predictions for the next report?

I'll be keen to see where currently nascent AI regulation initiatives have gotten to. Accountability is such a difficult question in AI,  it's tricky to nurture both innovation and basic protections.  Perhaps the most important innovation will be in approaches for AI accountability.

Topics: AI / Machine Learning , Computer Science

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17 ways technology could change the world by 2027

Each year, the Forum recognizes a new cohort of Technology Pioneers and incorporates them into its initiatives, activities, and events. Image:  Pexels/Pixabay

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• Innovation is critical to the future well-being of society and to driving economic growth.
• The World Economic Forum’s Technology Pioneer community is composed of early to growth-stage companies from around the world involved in the design, development and deployment of new technologies and innovations.
• Each year, the Forum recognizes a new cohort of Technology Pioneers and incorporates them into its initiatives, activities, and events.

Innovation is critical to the future well-being of society and to driving economic growth, both of which are key priority areas for the World Economic Forum. To support these two pillars, the Forum launched its Technology Pioneer community in the year 2000.

The community is composed of early- to growth-stage companies from around the world that are involved in the design, development and deployment of new technologies and innovations, and poised to have a significant impact on business and society.

The programme aims to give next-generation innovators a voice in solving global issues and the opportunity to contribute to the exploration of future trends. Each year, the Forum recognizes a new cohort of Technology Pioneers and incorporates them into its initiatives, activities, and events.

We asked our 2022 cohort for their views on how technology will change the world in the next five years. From maturing of advanced technologies such as Web3 and quantum, to managing flexible grids and on-demand manufacturing, here are their predictions for our near-term future.

Have you read?

How technology pioneers are shaping the future of production, 8 technology trends for innovative leaders in a post-pandemic world, meet the world economic forum's technology pioneers of 2022, ‘credit will become accessible to those ignored by traditional financial institutions’.

Madhav Krishna, Founder and Chief Executive Officer, Vahan

With an explosion in internet penetration across the world accompanied by the proliferation of digital labour marketplaces or platforms, 'gig-work' is going to become the predominant mode of work. This shift has larger ramifications for low-skilled/blue-collar workers who usually comprise more than 80% of the workforce in developing countries. Internet platforms in e-commerce, food delivery, ride-sharing, logistics and so on have low barriers to entry and are creating a wealth of earning opportunities in countries where there aren't enough jobs for low-skilled populations. Workers can engage with many platforms in parallel and maximize their earnings. Soon, digital labour marketplaces will embed financial services into their products which will make credit accessible for many people who are ignored by traditional financial institutions. Over time, technology will enable financial stability and discipline without the need for people to gain relevant knowledge. AI and machine learning advisors will become ubiquitous, constantly recommending the next gig, next investment or next online class to us, truly democratizing growth and financial wellbeing.

‘Web3 technologies will revolutionize the world of commerce’

Justin Banon, Co-Founder, Boson Protocol

By 2025, Web3 technologies will have revolutionized the world of commerce, in much the same way that Web2 transformed access to information. Physical and digital (phygital?) ‘things’ will be listed and traded on an open, liquid, digital market. In the early days of the internet, information was mostly siloed within proprietary online networks. However, the zero marginal cost of distribution, combined with consumer demand, led to the single, searchable, open internet of information we enjoy today. Understandably, commerce has taken longer to make the leap. With the exchange of physical assets, the need to manage counterparties’ risk, mediate disputes and ensure settlement, requires trust. This trust is vested in either trusted intermediaries or trusted sellers. Consequently, e-commerce transactions are mostly siloed within one of many, closed, proprietary systems. The advent of Web3 technology enables the automation of settlement by smart contracts and the tokenisation of physical asset commerce transactions into a universal standard such as NFTs. Just as decentralized finance’s ‘money lego’ applications have begun to unbundle traditional finance, an ecosystem of decentralized ‘commerce lego’ protocols and applications will evolve to create an open marketplace for things, where everyone can share in the value they create.

‘The data industry will become more inclusive and affordable’

Christine Qi, Chief Executive Officer, Databento

The amount of information - or data - about our universe and about ourselves, has grown exponentially over the past decade. But with enormous growth comes an array of issues: data privacy, management, access, and affordability are some of the biggest areas of debate amongst citizens and leaders alike. Who owns my data? Is my phone spying on me? How much money are companies making from it? These questions are becoming increasingly pertinent as companies continue to collect our data, whether we pay them or not, and with or without our permission. Issues also persist in industries like finance. Why am I paying a fortune for market data? In the next few years, so long as governments allow it, we'll see technology in the data industry become more inclusive and affordable as startups enter the space.

‘In the future, our focus will be on the human experience’

Isaac Castro, Co-Founder and Co-CEO, Emerge

By 2027, we'll look back at our current digital interactions the same way we see our carbon emissions today. Social media has exposed the perils of technology designed without humans at the centre, and its harmful effects on our mental health and emotional wellness. We're missing what we removed from our interactions a decade ago: humanity, intimacy, depth, and empathy. Real conversations instead of mass influence. Interactions that make us feel closer to each other. In the future, our focus will be on the human experience . The transition to the metaverse will be not a technological but a sociological paradigm shift. The metaverse will be shaped by the communication of our emotions, enabled by technologies such as virtual and augmented reality, and brain-computer interfaces. New hardware, platforms, disciplines, and senses will come into play. We'll redefine social contracts in the virtual world, where emotion, trust, and safety become our most important currencies. We'll decentralize the platform experience in favour of the human being. We'll give our daughter a soothing caress from across the ocean. We'll hold the hand of our grandmother who has passed away. We'll treasure those meaningful moments. Our interactions with others will be centred on our human experience.

' Battery powered construction will underpin sustainability efforts ’

Brandon Ng, Co-Founder and Chief Executive Officer, Ampd Energy

The construction industry accounts for almost 40% of global CO2 emissions and much of this is driven by the urbanisation of humanity. Fossil fuels continue to power construction projects, resulting in around half a billion tonnes of CO2 emitted each year. Noise and exhaust fumes from fossil fuel use also negatively affect worker health and local air quality. This is rapidly changing. The industry is adopting battery energy storage systems (ESSs) tailored for construction sites that reduce carbon emissions by 80%–the remaining 20% is the carbon of electricity used to recharge the ESSs. The electrification of mobile construction machinery is also making giant strides towards commercialisation. All of this is driven by advances in lithium-ion battery technology. Looking into the future, long-duration ESSs–which only need recharging weekly, monthly or longer–make off-site recharging from solar or wind farms a real possibility. The world is still figuring out the right technology base for long-duration ESSs, but there are multiple options: flow batteries, non-lithium-ion non-flow batteries, gravity-based ESSs, heat-based ESSs and hydrogen–and a winner, or winners are sure to emerge. In short, the future for how we build cities is charged with potential.

‘Building will dynamically respond and adjust to support human wellness and comfort’

Francois Amman, Co-President and Co-Founder, Akila

90% of life is spent indoors and 50% of carbon emissions are created by buildings. Their impact is simply massive; so is the volume of building data that could be harnessed for better outcomes on people and planet. Today, we see buildings becoming smart and automated through increasingly cost-effective sensors and control points. Properly connected smart buildings can react to dynamics like equipment status, space occupancy, weather and more, using AI to optimize for best impact. Most building systems are still manually controlled, but in coming years, we'll see this status quo totally upended. Building will dynamically respond and adjust to support human wellness and comfort; minimize carbon emissions; and include building-to-building interoperability enabling true metaverse applications for the built environment. Driving this change will be a fundamental transformation in the construction industry; the emergence of digital twin and 5G/6G technology as key tools enabling new ways of assessing and optimizing value over the building lifecycle from design to construction into operations; and growing understanding of energy as a not just a direct cost to portfolio holders, but also a liability for those who cannot keep up with new regulatory and ESG frameworks.

‘Grid flexibility will phase out fossil fuels and jumpstart the clean energy transition’

Thomas Folker, Co-Founder and Chief Executive Officer, Leap

One pressing challenge that lies on the road to a clean-energy future is grid flexibility, and the need for more dynamic interaction between energy supply and demand. As we incorporate more intermittent renewable energy sources such as wind and solar into the power mix, flexible load will be crucial to ensure that the grid can always meet demand. Unlocking a significantly more digitized, decarbonized and resource efficient future by 2025 will be made possible by market-driven software solutions that allow smart energy technologies, such as EV chargers and heat pumps, to respond to real-time grid requirements in targeted areas, optimizing the asset owner's earnings as well as supporting the electric grid when it needs it most. When aggregated together, these distributed energy resources can collectively offer the flexibility needed to phase out polluting fossil fuel-powered peaker plants and jumpstart the transition to the clean energy future.

‘People will eat more nourishing food’

Edwin O. Rogers, Chief Executive Officer and Co-Founder, Bonumose

Though nourishing, tasty food should be available to wealthy and poor alike, too often there is a great gulf between the “is” and the “should.” But there is nothing inherent in capitalism or the profit motive that demands the divergence. Good news is in the wind: thanks in part to new processing methods for healthy sugar or salt alternatives, good food will become an accessible, ubiquitous option for all consumers. People will eat more nourishing food even if in some cases they do not realize it – because cost and taste will be at par with less healthy, legacy foods. In the best of cases, production assets for questionable food ingredients (e.g., high-fructose corn syrup) will be redeployed for healthy counterparts. Finally, in a virtuous circle, global reductions in diet-related healthcare costs will have a deflationary effect on food prices, and global alleviation of health-related suffering will free individuals for inspired innovations that benefit humankind and the earth.

‘Central bank digital currency will revolutionize the financial system’

Inga Mullins, Founder and Chief Executive Officer, Fluency

A new digital form of a country’s fiat currency issued directly by a nation’s monetary authority or central bank is predicted to have one of the biggest disruptive impacts over the next 3-5 years. This form is referred to as a central bank digital currency (CBDC). When underpinned with blockchain technology, a CBDC has the potential to revolutionize the financial system and pave the way to increasing financial inclusion and improving the lives of billions of people globally by providing access to cheap and affordable financial services. Due primarily to its architecture, a well-constructed CBDC can support offline payments, shielded transfers, automation throughout the programmability layer, and possess cash-like properties. All these features when taken together will foster financial inclusion of the user by providing them with a digital alternative to physical cash, enhancing access to their money even in remote areas, and providing options for those that are currently unbanked. Innovative payment platforms will provide an on-ramp for building CBDC and bridging them together to existing payment networks, including both traditional banking and alternative finance. For banks and issuers, they’ll be able to integrate their existing infrastructure and be able to provide a broad spectrum of CBDC-linked payment-related services and exercise cross-chain interoperability protocols for universal payment access to digital national currencies, stablecoins, NFTs, the Metaverse and much more.

‘Supply chain intelligence will solve the food crisis’

Julie Gerdeman, Chief Executive Officer, Everstream

Several decades of accelerating climate change, a global pandemic, conflict, and fragmented supply chains impacted food production and distribution, driving the global food crisis to catastrophic levels. By 2027, major food, beverage, and consumer packaged goods manufacturers will use AI-driven supply chain technology to see future disruption and act before weather, labour issues, and other incidents can harm the global food supply. Contingency plans will be needed far less often because companies will have advanced insights exposing how future weather events will impact their suppliers, giving them ample time to find alternatives. They will predict spikes in commodity availability, change their purchasing habits and reformulate their products so shelves remain stocked. Food spoilage and waste during transit will no longer be a problem because manufacturers and shippers can spot unusual weather, labour issues, and other stoppages well in advance. Food distribution to remote locations that need it the most will no longer be delayed due to port and road closures. Predictive supply chain technology will enable companies to shift from reactive response to proactive action, keeping store shelves stocked and food flowing worldwide.

‘AI will reinvent how we think about education’

Asude Altintas, Co-Founder and Chief Executive Officer, Twin Science

The traditional education system was invented nearly 200 years ago to meet the needs of the industrial revolution – it is not functional today. Today, the needs of our world have been gathered under the United Nation’s Sustainable Development Goals. On the other hand, 21st-century skills that will serve these needs are listed by the World Economic Forum. The younger generation already has the desire to co-create solutions to the world's biggest problems and create a more compassionate world. Technological progress is a great chance to help every child develop skills and competencies to solve these problems and build a better future. AI will be used to understand children’s own interests to suggest the next step in their learning journey. AI will also generate insights for their parents and teachers and will turn them into mentors. The internet is already connecting children with the best experts, improving the quality of education and reducing inequalities. Every child will be able to ideate, prototype, test and iterate in a cost-effective way. In this way, they will innovate and improve the well-being of the world.

‘Technology will bring the best opportunities to the best talent ’

Projjal Ghatak, Chief Executive Officer and Founder, Onloop

The one sector that has gone through breakneck change in the last two years is the workplace. Office work has been the default for knowledge workers for decades and did not warrant a full re-think until the pandemic. The pandemic tested it to its fullest but although we saw flat to increased productivity, the loss in cultural connectivity and an increase in anxiety, fatigue, apathy and burnout are all also some of the effects being felt. In a pace of rapid change, it is hard to parse out each piece independently. The pandemic also lasted long enough to truly change the talent landscape for many companies to a permanent global and hybrid one. This means that companies can seize the day in thinking about a global talent market to tap into in a realistic fashion. So, if I had to be provocative, I would say that technology is going to be a true leveller. It will bring the best opportunities to the best talent irrespective of where they live thereby truly unlocking the full potential of a billion knowledge workers.

‘Advanced manufacturing and fashion technology could digitally transform the apparel industry’

Matthew Wallace, Chief Executive Officer, DXM

Transforming the apparel industry with localized, on-demand manufacturing. The apparel industry is riddled with excessive waste and supply chain challenges. Today, most brands and retailers are forced to mass-produce goods with limited consumer input, resulting in high merchandise return rates, waste from overproduction, and lower profit margins due to deep discounts of unwanted merchandise. And while on-demand apparel and footwear are believed to be a solution, traditional manufacturing models still require months of lead time and hundreds of miles of travel between order and delivery - a problem which has only been exacerbated by global supply chain instability. Advanced manufacturing and fashion technology can digitally transform the apparel industry by bridging the gap between creators, consumers, and local manufacturers. It can play an important role in producing custom goods locally, resulting in dramatically reduced turnaround times – days, not months. This innovative model has the potential to not only reduce the environmental footprint of the fashion industry but also improve supply chain security on a global scale. It’s a promising solution that can be achieved with an open platform that unites best-in-class partners for the greater good of the apparel industry, and the world.

‘The quantum internet is coming’

Jim Ricotta, Chief Executive Officer and Chairman, Aliro Quantum

The quantum internet is coming, and it will revolutionize the world just as the classical internet has. And just as classical networks enabled today's internet, quantum networks are required to build the quantum internet of tomorrow. The quantum internet is expected to have a profound impact on how we live our lives by enabling breakthroughs in energy, medicine, material sciences and more. In the next five years, we will see quantum networks emerge from local area networks and clusters into continent-scale area networks using quantum repeaters, which are the foundations of the quantum internet. As a result, we'll see more and more use cases emerge for quantum networks. For example, quantum secure communications leverage the power of physics to enable unhackable security. Distributed quantum sensing will enable ultra-high-resolution telescopes, as well as ultra-precise clocks and GPS. And to make the power of quantum computing useful, clustered quantum computing and ultimately distributed quantum computing will enable the quantum internet.

‘AI will power clinical decision making in fertility clinics around the globe’

Paxton Maeder-York, Chief Executive Officer and Founder, Alife Health

Between now and 2030, over one billion people will suffer from infertility. As global population growth slows and drops below the replacement rate, utilizing AI-enhanced fertility treatments will help support the creation of new families and future generations. The most common infertility treatment today, in-vitro fertilization (IVF), is expensive, often requires multiple attempts, and is both physically and emotionally onerous. Successful pregnancies from IVF rely on a complex set of clinical decisions made by physicians to deliver the optimal care for each patient. The use of technology and advanced analytics to support this decision making will lead to improvements in care efficiency, clinical success rates, and personalization of treatment methods. By 2027, AI will power clinical decision making in fertility clinics around the globe, enabling physicians to deliver a new level of precision medicine to improve outcomes and expand access for patients.

'Human potential will be re-directed towards more meaningful objectives'

Gabriel Safar, Co-Founder and Chief Executive Officer, LeasePilot

Documents as technology have served businesses well for centuries. In modern times, email may have replaced the need for a courier and documents may be stored electronically, but the underlying technology itself hasn’t changed. That’s a problem since documents are fundamentally an analogue technology and today’s world is digital. Computers aren’t very good at manipulating natural language (analogue), but they are great at manipulating information in a database (digital). So, taking a data-first approach to constructing agreements opens the door to hyper-efficient transactions facilitated by computers. By converting agreements into structured digital information, software can assemble, manipulate, store, share, and understand these agreements in ways that weren’t previously impossible. When done successfully, the end-user sees a document written in natural language and is able to edit the text of the agreement in the same way that they would in a traditional word processor. But behind the scenes, the agreement is still a collection of database values which are updated to reflect the user’s interactions with that document. Ultimately, the impact will be a future with radically more efficient markets that free up massive amounts of wasted human potential to be re-directed toward more meaningful objectives.

‘Remote sensing data streams will accurately monitor natural ecosystems’

Kevin Lang, Chief Executive Officer and President, Agerpoint

To achieve the United Nations goal to reach carbon neutrality by 2050 and keep global warming below +1.5 °C, nature-based solutions to restore, conserve or enhance forests or agricultural lands are a valuable contributor to removing carbon dioxide from the atmosphere and capturing it into the soil. However, to determine the impact of these solutions, measurements such as tree height, trunk diameter and biomass are required to accurately quantify the carbon stock potential in plants. These measurements are traditionally assessed through labour intensive and subjective manual methods. With the increased demand for credible carbon credits along with a heightened need for transparency, remote sensing data streams from high-resolution cameras and lasers (i.e., LiDAR) are enabling new scalable and efficient digital measurement techniques. Satellite imagery is increasing in resolution and frequency as more constellations enter into orbit. Rapid advances in smartphone optical sensors and positional systems provide extensive access for growers and conservationists to affordably capture rich datasets. These data sources, combined with cloud data processing, artificial intelligence and data fusion will empower accurate measurement and monitoring of plant health and carbon sequestration potential for natural ecosystems.

Related topics:

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We recommend: political emotions, openmind books, scientific anniversaries, clair patterson, the hero who got the lead out of gasoline, featured author, latest book, how the internet has changed everyday life, what happened.

The Internet has turned our existence upside down. It has revolutionized communications, to the extent that it is now our preferred medium of everyday communication. In almost everything we do, we use the Internet. Ordering a pizza, buying a television, sharing a moment with a friend, sending a picture over instant messaging. Before the Internet, if you wanted to keep up with the news, you had to walk down to the newsstand when it opened in the morning and buy a local edition reporting what had happened the previous day. But today a click or two is enough to read your local paper and any news source from anywhere in the world, updated up to the minute.

The Internet itself has been transformed. In its early days—which from a historical perspective are still relatively recent—it was a static network designed to shuttle a small freight of bytes or a short message between two terminals; it was a repository of information where content was published and maintained only by expert coders. Today, however, immense quantities of information are uploaded and downloaded over this electronic leviathan, and the content is very much our own, for now we are all commentators, publishers, and creators.

In the 1980s and 1990s, the Internet widened in scope to encompass the IT capabilities of universities and research centers, and, later on, public entities, institutions, and private enterprises from around the world. The Internet underwent immense growth; it was no longer a state-controlled project, but the largest computer network in the world, comprising over 50,000 sub-networks, 4 million systems, and 70 million users.

The emergence of  web 2.0  in the first decade of the twenty-first century was itself a revolution in the short history of the Internet, fostering the rise of social media and other interactive, crowd-based communication tools.

The Internet was no longer concerned with information exchange alone: it was a sophisticated multidisciplinary tool enabling individuals to create content, communicate with one another, and even escape reality. Today, we can send data from one end of the world to the other in a matter of seconds, make online presentations, live in parallel “game worlds,” and use pictures, video, sound, and text to share our real lives, our genuine identity. Personal stories go public; local issues become global.

The rise of the Internet has sparked a debate about how online communication affects social relationships. The Internet frees us from geographic fetters and brings us together in topic-based communities that are not tied down to any specific place. Ours is a networked, globalized society connected by new technologies. The Internet is the tool we use to interact with one another, and accordingly poses new challenges to privacy and security.

Information technologies have wrought fundamental change throughout society, driving it forward from the industrial age to the networked era. In our world, global information networks are vital infrastructure—but in what ways has this changed human relations? The Internet has changed business, education, government, healthcare, and even the ways in which we interact with our loved ones—it has become one of the key drivers of social evolution.

The changes in social communication are of particular significance. Although analogue tools still have their place in some sectors, new technologies are continuing to gain ground every day, transforming our communication practices and possibilities—particularly among younger people. The Internet has removed all communication barriers. Online, the conventional constraints of space and time disappear and there is a dizzyingly wide range of communicative possibilities. The impact of social media applications has triggered discussion of the “new communication democracy.”

The development of the Internet today is being shaped predominantly by instant, mobile communications. The mobile Internet is a fresh revolution. Comprehensive Internet connectivity via smartphones and tablets is leading to an increasingly mobile reality: we are not tied to any single specific device, and everything is in the cloud.

People no longer spend hours gazing at a computer screen after work or class; instead, they use their mobile devices to stay online everywhere, all the time.

Anyone failing to keep abreast of this radical change is losing out on an opportunity.

Communication Opportunities Created by the Internet

The Internet has become embedded in every aspect of our day-to-day lives, changing the way we interact with others. This insight struck me when I started out in the world of social media. I created my first social network in 2005, when I was finishing college in the United States—it had a political theme. I could already see that social media were on the verge of changing our way of communicating, helping us to share information by opening up a new channel that cuts across conventional ones.

That first attempt did not work out, but I learned from the experience.I get the feeling that in many countries failure is punished too harshly—but the fact is, the only surefire way of avoiding failure is to do nothing at all. I firmly believe that mistakes help you improve; getting it wrong teaches you how to get it right. Creativity, hard work, and a positive attitude will let you achieve any goal.

In 2006, after I moved to Spain, I created Tuenti. Tuenti (which, contrary to widespread belief, has nothing to do with the number 20; it is short for “tu entidad,” the Spanish for “your entity”) is a social communication platform for genuine friends. From the outset, the idea was to keep it simple, relevant, and private. That’s the key to its success.

I think the real value of social media is that you can stay in touch from moment to moment with the people who really matter to you. Social media let you share experiences and information; they get people and ideas in touch instantly, without frontiers. Camaraderie, friendship, and solidarity—social phenomena that have been around for as long as humanity itself—have been freed from the conventional restrictions of space and time and can now thrive in a rich variety of ways.

Out of all the plethora of communication opportunities that the Internet has opened up, I would highlight the emergence of social media and the way they have intricately melded into our daily lives. Social media have changed our personal space, altering the way we interact with our loved ones, our friends, and our sexual partners; they have forced us to rethink even basic daily processes like studying and shopping; they have affected the economy by nurturing the business startup culture and electronic commerce; they have even given us new ways to form broad-based political movements.

The Internet and Education

The Internet has clearly impacted all levels of education by providing unbounded possibilities for learning. I believe the future of education is a networked future. People can use the Internet to create and share knowledge and develop new ways of teaching and learning that captivate and stimulate students’ imagination at any time, anywhere, using any device. By connecting and empowering students and educators, we can speed up economic growth and enhance the well-being of society throughout the world. We should work together, over a network, to build the global learning society.

The network of networks is an inexhaustible source of information. What’s more, the Internet has enabled users to move away from their former passive role as mere recipients of messages conveyed by conventional media to an active role, choosing what information to receive, how, and when. The information recipient even decides whether or not they want to stay informed.

We have moved on from scattergun mass communication to a pattern where the user proactively selects the information they need.

Students can work interactively with one another, unrestricted by physical or time constraints. Today, you can use the Internet to access libraries, encyclopedias, art galleries, news archives, and other information sources from anywhere in the world: I believe this is a key advantage in the education field. The web is a formidable resource for enhancing the process of building knowledge.

I also believe the Internet is a wonderful tool for learning and practicing other languages—this continues to be a critical issue in many countries, including Spain, and, in a globalized world, calls for special efforts to improve.

The Internet, in addition to its communicative purposes, has become a vital tool for exchanging knowledge and education; it is not just an information source, or a locus where results can be published, it is also a channel for cooperating with other people and groups who are working on related research topics.

The Internet and Privacy and Security

Another key issue surrounding Internet use is privacy. Internet users are becoming more sensitive to the insight that privacy is a must-have in our lives.

Privacy has risen near the top of the agenda in step with an increasing awareness of the implications of using social media. Much of the time, people started to use social media with no real idea of the dangers, and have wised up only through trial and error—sheer accident, snafus, and mistakes. Lately, inappropriate use of social media seems to hit the headlines every day. Celebrities posting inappropriate comments to their profiles, private pictures and tapes leaked to the Internet at large, companies displaying arrogance toward users, and even criminal activities involving private-data trafficking or social media exploitation.

All this shows that—contrary to what many people seem to have assumed—online security and privacy are critical, and, I believe, will become even more important going forward. And, although every user needs privacy, the issue is particularly sensitive for minors—despite attempts to raise their awareness, children still behave recklessly online.

I have always been highly concerned about privacy. On Tuenti, the default privacy setting on every user account is the highest available level of data protection. Only people the user has accepted as a “friend” can access their personal details, see their telephone number, or download their pictures. This means that, by default, user information is not accessible to third parties. In addition, users are supported by procedures for reporting abuse. Any user can report a profile or photograph that is abusive, inappropriate, or violates the terms of use: action is taken immediately. Security and privacy queries are resolved within 24 hours.

We need to be aware that different Internet platforms provide widely different privacy experiences. Some of them are entirely open and public; no steps whatsoever are taken to protect personal information, and all profiles are indexable by Internet search engines.

On the other hand, I think the debate about whether social media use should be subject to an age requirement is somewhat pointless, given that most globally active platforms operate without age restrictions. The European regulatory framework is quite different from the United States and Asian codes. Companies based in Europe are bound by rigorous policies on privacy and underage use of social media. This can become a competitive drawback when the ground rules do not apply equally to all players—our American and Japanese competitors, for instance, are not required to place any kind of age constraint on access.

Outside the scope of what the industry or regulators can do, it is vital that users themselves look after the privacy of their data. I believe the information is the user’s property, so the user is the only party entitled to control the collection, use, and disclosure of any information about him or herself. Some social networks seem to have forgotten this fact—they sell data, make it impossible to delete an account, or make it complex and difficult to manage one’s privacy settings. Everything should be a lot simpler and more transparent.

Social networks should continue to devote intense efforts to developing self-regulation mechanisms and guidelines for this new environment of online coexistence to ensure that user information is safe: the Internet should be a space for freedom, but also for trust. The main way of ensuring that social media are used appropriately is awareness. But awareness and user education will be of little use unless it becomes an absolute requirement that the privacy of the individual is treated as a universal value.

The Internet and Culture

As in the sphere of education, the development of information and communication technologies and the wide-ranging effects of globalization are changing what we are, and the meaning of cultural identity. Ours is a complex world in which cultural flows across borders are always on the rise. The concepts of space, time, and distance are losing their conventional meanings. Cultural globalization is here, and a global movement of cultural processes and initiatives is underway.

Again, in the cultural arena, vast fields of opportunity open up thanks to online tools. The possibilities are multiplied for disseminating a proposal, an item of knowledge, or a work of art. Against those doomsayers who warn that the Internet is harming culture, I am radically optimistic. The Internet is bringing culture closer to more people, making it more easily and quickly accessible; it is also nurturing the rise of new forms of expression for art and the spread of knowledge. Some would say, in fact, that the Internet is not just a technology, but a cultural artifact in its own right.

In addition to its impact on culture itself, the Internet is enormously beneficial for innovation, which brings progress in all fields of endeavor—the creation of new goods, services, and ideas, the advance of knowledge and society, and increasing well-being.

The Internet and Personal Relationships

The Internet has also changed the way we interact with our family, friends, and life partners. Now everyone is connected to everyone else in a simpler, more accessible, and more immediate way; we can conduct part of our personal relationships using our laptops, smart phones, and tablets.

The benefits of always-online immediate availability are highly significant. I would find a long-distance relationship with my life partner or my family unthinkable without the communication tools that the network of networks provides me with. I’m living in Madrid, but I can stay close to my brother in California. For me, that is the key plus of the Internet: keeping in touch with the people who really matter to me.

As we have seen, the Internet revolution is not just technological; it also operates at a personal level, and throughout the structure of society. The Internet makes it possible for an unlimited number of people to communicate with one another freely and easily, in an unrestricted way.

Just a century ago, this was unimaginable. An increasing number of couples come together, stay together, or break up with the aid—or even as a consequence—of social communication tools. There are even apps and social networks out there that are purposely designed to help people get together for sex.

Of course, when compared to face-to-face communication, online communication is severely limited in the sense impressions it can convey (an estimated 60 to 70 percent of human communication takes place nonverbally), which can lead to misunderstandings and embarrassing situations—no doubt quite a few relationships have floundered as a result. I think the key is to be genuine, honest, and real at all times, using all the social media tools and their many advantages. Let’s just remember that a liar and a cheat online is a liar and a cheat offline too.

The Internet and Social and Political Activism

Even before the emergence of social media, pioneering experiments took place in the political sphere—like  Essembly , a project I was involved in. We started to create a politically themed platform to encourage debate and provide a home for social and political causes; but the social networks that have later nurtured activism in a new way were not as yet in existence.

Research has shown that young people who voice their political opinions on the Internet are more inclined to take part in public affairs. The better informed a citizen is, the more likely they will step into the polling booth, and the better they will express their political liberties. The Internet has proved to be a decisive communication tool in the latest election campaigns. It is thanks to the Internet that causes in the social, welfare, ideological, and political arenas have been spoken up for and have won the support of other citizens sharing those values—in many cases, with a real impact on government decision making.

The Internet and Consumer Trends

New technologies increase the speed of information transfer, and this opens up the possibility of “bespoke” shopping. The Internet offers an immense wealth of possibilities for buying content, news, and leisure products, and all sorts of advantages arise from e-commerce, which has become a major distribution channel for goods and services. You can book airline tickets, get a T-shirt from Australia, or buy food at an online grocery store. New applications support secure business transactions and create new commercial opportunities.

In this setting, it is the consumer who gains the upper hand, and the conventional rules and methods of distribution and marketing break down. Consumers’ access to information multiplies, and their reviews of their experience with various products and services take center stage. Access to product comparisons and rankings, user reviews and comments, and recommendations from bloggers with large followings have shaped a new scenario for consumer behavior, retail trade, and the economy in general.

The Internet and the Economy

The Internet is one of the key factors driving today’s economy. No one can afford to be left behind. Even in a tough macroeconomic framework, the Internet can foster growth, coupled with enhanced productivity and competitiveness.

The Internet provides opportunities for strengthening the economy: How should we tackle them? While Europe—and Spain specifically—are making efforts to make the best possible use of the Internet, there are areas in which their approach needs to improve. Europe faces a major challenge, and risks serious failure if it lets the United States run ahead on its own. The European Commission, in its “Startup Manifesto,” suggests that the Old World be more entrepreneur-friendly—the proposal is backed by companies like Spotify and Tuenti. Europe lacks some of the necessary know-how. We need to improve in financial services and in data privacy, moving past the obsolete regulatory framework we now have and making a bid to achieve a well-connected continent with a single market for 4G mobile connections. We need to make it easier to hire talent outside each given country.

The use of e-commerce should be encouraged among small and medium-sized enterprises so that growth opportunities can be exploited more intensely. Following the global trend of the Internet, companies should internalize their online business. And much more emphasis should be placed on new technologies training in the academic and business spheres.

Modern life is global, and Spain is competing against every other country in the world. I do not believe in defeatism or victim culture. Optimism should not translate into callousness, but I sincerely believe that if you think creatively, if you find a different angle, if you innovate with a positive attitude and without fear of failure, then you can change things for the better. Spain needs to seize the moment to reinvent itself, grasping the opportunities offered up by the online world. We need to act, take decisions, avoid “paralysis through analysis.” I sometimes feel we are too inclined to navel-gazing: Spain shuts itself off, fascinated with its own contradictions and local issues, and loses its sense of perspective. Spain should open up to the outside, use the crisis as an opportunity to do things differently, in a new way—creating value, underlining its strengths, aspiring to be something more.

In the United States, for instance, diving headfirst into a personal Internet-related startup is regarded as perfectly normal. I’m glad to see that this entrepreneurial spirit is beginning to take hold here as well. I believe in working hard, showing perseverance, keeping your goals in view, surrounding yourself with talent, and taking risks. No risk, no success. We live in an increasingly globalized world: of course you can have a Spain-based Internet startup, there are no frontiers.

We need to take risks and keep one step ahead of the future. It is precisely the most disruptive innovations that require radical changes in approach and product, which might not even find a market yet ready for them—these are the areas providing real opportunities to continue being relevant, to move forward and “earn” the future, creating value and maintaining leadership. It is the disruptive changes that enable a business, product, or service to revolutionize the market—and, particularly in the technology sector, such changes are a necessity.

The Future of Social Communications, Innovation, Mobile Technologies, and Total Connectivity in Our Lives

The future of social communications will be shaped by an  always-online  culture.  Always online  is already here and will set the trend going forward. Total connectivity, the Internet you can take with you wherever you go, is growing unstoppably. There is no turning back for global digitalization.

Innovation is the driving force of growth and progress, so we need to shake up entrenched processes, products, services, and industries, so that all of us together—including established businesses, reacting to their emerging competitors—can move forward together.

Innovation is shaping and will continue to shape the future of social communications. It is already a reality that Internet connections are increasingly mobile. A survey we conducted in early 2013 in partnership with Ipsos found that 94 percent of Tuenti users aged 16 to 35 owned cell phones, 84 percent of users connected to the Internet using their phones, and 47 percent had mobile data subscriptions for connecting to the Internet. A total of 74 percent of users reported connecting to the Internet from their phone on a daily basis, while 84 percent did so at least weekly. Only 13 percent did not use their phones to connect to the Internet, and that percentage is decreasing every day.

Mobile Internet use alters the pattern of device usage; the hitherto familiar ways of accessing the Internet are changing too. The smartphone activities taking up the most time (over three hours a day) include instant messaging (38%), social media use (35%), listening to music (24%), and web browsing (20%). The activities taking up the least time (under five minutes a day) are: SMS texting (51%), watching movies (43%), reading and writing e-mail (38%), and talking on the phone (32%). Things are still changing.

Smartphones are gaining ground in everyday life. Many of the purposes formerly served by other items now involve using our smartphones. Some 75 percent of young people reported having replaced their MP3 player with their phone, 74 percent use their phone as an alarm clock, 70 percent use it as their camera, and 67 percent use it as their watch.

We have been observing these shifts for a while, which is why we decided to reinvent ourselves by placing smartphones at the heart of our strategy. I want to use this example as a showcase of what is happening in the world of social communication and the Internet in general: mobile connectivity is bringing about a new revolution. Tuenti is no longer just a social network, and social media as a whole are becoming more than just websites. The new Tuenti provides native mobile apps for Android, iPhone, Blackberry, Windows Phone, as well as the Firefox OS app and the mobile version of the website, m.tuenti.com. Tuenti is now a cross-platform service that lets users connect with their friends and contacts from wherever they may be, using their device of choice. A user with a laptop can IM in real time with a user with a smartphone, and switch from one device to another without losing the thread of the conversation. The conversations are in the cloud, so data and contacts are preserved independently of the devices being used. This means the experience has to be made uniform across platforms, which sometimes involves paring down functionalities, given the processing and screen size limitations of mobile devices. Facebook, Twitter, Instagram, LinkedIn, and so on are all evolving to become increasingly cross-platform experiences. But Tuenti is the first social network that has also developed its own Mobile Virtual Network Operator (MVNO)—the company is an Internet service provider over the mobile network. Tuenti is an MVNO with a social media angle, and this may be the future path of telecommunications.

Social media are evolving to become something more, and innovation must be their hallmark if they are to continue being relevant. Tuenti now embraces both social communications and telecom services provision, offering value added by letting you use the mobile app free of charge and without using up your data traffic allowance, even if you have no credit on your prepaid card—this is wholly revolutionary in the telecom sector. The convergence of social media with more traditional sectors is already bringing about a new context for innovation, a new arena for the development and growth of the Internet.

Just about everything in the world of the Internet still lies ahead of us, and mobile communications as we know them must be reinvented by making them more digital. The future will be shaped by innovation converging with the impact of mobility. This applies not just to social media but to the Internet in general, particularly in the social communications field. I feel that many people do not understand what we are doing and have no idea of the potential development of companies like ours at the global level. Right now, there may be somebody out there, in some corner of the world, developing the tool that will turn the Internet upside down all over again. The tool that will alter our day-to-day life once more. Creating more opportunities, providing new benefits to individuals, bringing more individual and collective well-being. Just ten years ago, social media did not exist; in the next ten years, something else radically new will emerge. There are many areas in which products, processes, and services can be improved or created afresh. The future is brimming with opportunities, and the future of the Internet has only just begun.

Related publications

• The Impact of the Internet on Society: A Global Perspective
• Implications of the Revolution in Work and Family
• Vision 2020+: A Future to Be Built

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Feb 13, 2023

200-500 Word Example Essays about Technology

Got an essay assignment about technology check out these examples to inspire you.

Technology is a rapidly evolving field that has completely changed the way we live, work, and interact with one another. Technology has profoundly impacted our daily lives, from how we communicate with friends and family to how we access information and complete tasks. As a result, it's no surprise that technology is a popular topic for students writing essays.

But writing a technology essay can be challenging, especially for those needing more time or help with writer's block. This is where Jenni.ai comes in. Jenni.ai is an innovative AI tool explicitly designed for students who need help writing essays. With Jenni.ai, students can quickly and easily generate essays on various topics, including technology.

This blog post aims to provide readers with various example essays on technology, all generated by Jenni.ai. These essays will be a valuable resource for students looking for inspiration or guidance as they work on their essays. By reading through these example essays, students can better understand how technology can be approached and discussed in an essay.

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The Impact of Technology on Society and Culture

Introduction:.

Technology has become an integral part of our daily lives and has dramatically impacted how we interact, communicate, and carry out various activities. Technological advancements have brought positive and negative changes to society and culture. In this article, we will explore the impact of technology on society and culture and how it has influenced different aspects of our lives.

Positive impact on communication:

Technology has dramatically improved communication and made it easier for people to connect from anywhere in the world. Social media platforms, instant messaging, and video conferencing have brought people closer, bridging geographical distances and cultural differences. This has made it easier for people to share information, exchange ideas, and collaborate on projects.

Positive impact on education:

Students and instructors now have access to a multitude of knowledge and resources because of the effect of technology on education . Students may now study at their speed and from any location thanks to online learning platforms, educational applications, and digital textbooks.

Negative impact on critical thinking and creativity:

Technological advancements have resulted in a reduction in critical thinking and creativity. With so much information at our fingertips, individuals have become more passive in their learning, relying on the internet for solutions rather than logic and inventiveness. As a result, independent thinking and problem-solving abilities have declined.

Positive impact on entertainment:

Technology has transformed how we access and consume entertainment. People may now access a wide range of entertainment alternatives from the comfort of their own homes thanks to streaming services, gaming platforms, and online content makers. The entertainment business has entered a new age of creativity and invention as a result of this.

Negative impact on attention span:

However, the continual bombardment of information and technological stimulation has also reduced attention span and the capacity to focus. People are easily distracted and need help focusing on a single activity for a long time. This has hampered productivity and the ability to accomplish duties.

The Ethics of Artificial Intelligence And Machine Learning

The development of artificial intelligence (AI) and machine learning (ML) technologies has been one of the most significant technological developments of the past several decades. These cutting-edge technologies have the potential to alter several sectors of society, including commerce, industry, healthcare, and entertainment. 

As with any new and quickly advancing technology, AI and ML ethics must be carefully studied. The usage of these technologies presents significant concerns around privacy, accountability, and command. As the use of AI and ML grows more ubiquitous, we must assess their possible influence on society and investigate the ethical issues that must be taken into account as these technologies continue to develop.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence is the simulation of human intelligence in machines designed to think and act like humans. Machine learning is a subfield of AI that enables computers to learn from data and improve their performance over time without being explicitly programmed.

The impact of AI and ML on Society

The use of AI and ML in various industries, such as healthcare, finance, and retail, has brought many benefits. For example, AI-powered medical diagnosis systems can identify diseases faster and more accurately than human doctors. However, there are also concerns about job displacement and the potential for AI to perpetuate societal biases.

The Ethical Considerations of AI and ML

A. Bias in AI algorithms

One of the critical ethical concerns about AI and ML is the potential for algorithms to perpetuate existing biases. This can occur if the data used to train these algorithms reflects the preferences of the people who created it. As a result, AI systems can perpetuate these biases and discriminate against certain groups of people.

B. Responsibility for AI-generated decisions

Another ethical concern is the responsibility for decisions made by AI systems. For example, who is responsible for the damage if a self-driving car causes an accident? The manufacturer of the vehicle, the software developer, or the AI algorithm itself?

C. The potential for misuse of AI and ML

AI and ML can also be used for malicious purposes, such as cyberattacks and misinformation. The need for more regulation and oversight in developing and using these technologies makes it difficult to prevent misuse.

The developments in AI and ML have given numerous benefits to humanity, but they also present significant ethical concerns that must be addressed. We must assess the repercussions of new technologies on society, implement methods to limit the associated dangers, and guarantee that they are utilized for the greater good. As AI and ML continue to play an ever-increasing role in our daily lives, we must engage in an open and frank discussion regarding their ethics.

The Future of Work And Automation

Rapid technological breakthroughs in recent years have brought about considerable changes in our way of life and work. Concerns regarding the influence of artificial intelligence and machine learning on the future of work and employment have increased alongside the development of these technologies. This article will examine the possible advantages and disadvantages of automation and its influence on the labor market, employees, and the economy.

The Advantages of Automation

Automation in the workplace offers various benefits, including higher efficiency and production, fewer mistakes, and enhanced precision. Automated processes may accomplish repetitive jobs quickly and precisely, allowing employees to concentrate on more complex and creative activities. Additionally, automation may save organizations money since it removes the need to pay for labor and minimizes the danger of workplace accidents.

The Potential Disadvantages of Automation

However, automation has significant disadvantages, including job loss and income stagnation. As robots and computers replace human labor in particular industries, there is a danger that many workers may lose their jobs, resulting in higher unemployment and more significant economic disparity. Moreover, if automation is not adequately regulated and managed, it might lead to stagnant wages and a deterioration in employees' standard of life.

The Future of Work and Automation

Despite these difficulties, automation will likely influence how labor is done. As a result, firms, employees, and governments must take early measures to solve possible issues and reap the rewards of automation. This might entail funding worker retraining programs, enhancing education and skill development, and implementing regulations that support equality and justice at work.

IV. The Need for Ethical Considerations

We must consider the ethical ramifications of automation and its effects on society as technology develops. The impact on employees and their rights, possible hazards to privacy and security, and the duty of corporations and governments to ensure that automation is utilized responsibly and ethically are all factors to be taken into account.

Conclusion:

To summarise, the future of employment and automation will most certainly be defined by a complex interaction of technological advances, economic trends, and cultural ideals. All stakeholders must work together to handle the problems and possibilities presented by automation and ensure that technology is employed to benefit society as a whole.

The Role of Technology in Education

Introduction.

Nearly every part of our lives has been transformed by technology, and education is no different. Today's students have greater access to knowledge, opportunities, and resources than ever before, and technology is becoming a more significant part of their educational experience. Technology is transforming how we think about education and creating new opportunities for learners of all ages, from online courses and virtual classrooms to instructional applications and augmented reality.

Technology's Benefits for Education

The capacity to tailor learning is one of technology's most significant benefits in education. Students may customize their education to meet their unique needs and interests since they can access online information and tools. 

For instance, people can enroll in online classes on topics they are interested in, get tailored feedback on their work, and engage in virtual discussions with peers and subject matter experts worldwide. As a result, pupils are better able to acquire and develop the abilities and information necessary for success.

Challenges and Concerns

Despite the numerous advantages of technology in education, there are also obstacles and considerations to consider. One issue is the growing reliance on technology and the possibility that pupils would become overly dependent on it. This might result in a lack of critical thinking and problem-solving abilities, as students may become passive learners who only follow instructions and rely on technology to complete their assignments.

Another obstacle is the digital divide between those who have access to technology and those who do not. This division can exacerbate the achievement gap between pupils and produce uneven educational and professional growth chances. To reduce these consequences, all students must have access to the technology and resources necessary for success.

In conclusion, technology is rapidly becoming an integral part of the classroom experience and has the potential to alter the way we learn radically. 

Technology can help students flourish and realize their full potential by giving them access to individualized instruction, tools, and opportunities. While the benefits of technology in the classroom are undeniable, it's crucial to be mindful of the risks and take precautions to guarantee that all kids have access to the tools they need to thrive.

The Influence of Technology On Personal Relationships And Communication 

Technological advancements have profoundly altered how individuals connect and exchange information. It has changed the world in many ways in only a few decades. Because of the rise of the internet and various social media sites, maintaining relationships with people from all walks of life is now simpler than ever. 

However, concerns about how these developments may affect interpersonal connections and dialogue are inevitable in an era of rapid technological growth. In this piece, we'll discuss how the prevalence of digital media has altered our interpersonal connections and the language we use to express ourselves.

Direct Effect on Direct Interaction:

The disruption of face-to-face communication is a particularly stark example of how technology has impacted human connections. The quality of interpersonal connections has suffered due to people's growing preference for digital over human communication. Technology has been demonstrated to reduce the usage of nonverbal signs such as facial expressions, tone of voice, and other indicators of emotional investment in the connection.

Positive Impact on Long-Distance Relationships:

Yet there are positives to be found as well. Long-distance relationships have also benefited from technological advancements. The development of technologies such as video conferencing, instant messaging, and social media has made it possible for individuals to keep in touch with distant loved ones. It has become simpler for individuals to stay in touch and feel connected despite geographical distance.

The Effects of Social Media on Personal Connections:

The widespread use of social media has had far-reaching consequences, especially on the quality of interpersonal interactions. Social media has positive and harmful effects on relationships since it allows people to keep in touch and share life's milestones.

Unfortunately, social media has made it all too easy to compare oneself to others, which may lead to emotions of jealousy and a general decline in confidence. Furthermore, social media might cause people to have inflated expectations of themselves and their relationships.

A Personal Perspective on the Intersection of Technology and Romance

Technological advancements have also altered physical touch and closeness. Virtual reality and other technologies have allowed people to feel physical contact and familiarity in a digital setting. This might be a promising breakthrough, but it has some potential downsides. 

Experts are concerned that people's growing dependence on technology for intimacy may lead to less time spent communicating face-to-face and less emphasis on physical contact, both of which are important for maintaining good relationships.

In conclusion, technological advancements have significantly affected the quality of interpersonal connections and the exchange of information. Even though technology has made it simpler to maintain personal relationships, it has chilled interpersonal interactions between people. 

Keeping tabs on how technology is changing our lives and making adjustments as necessary is essential as we move forward. Boundaries and prioritizing in-person conversation and physical touch in close relationships may help reduce the harm it causes.

The Security and Privacy Implications of Increased Technology Use and Data Collection

The fast development of technology over the past few decades has made its way into every aspect of our life. Technology has improved many facets of our life, from communication to commerce. However, significant privacy and security problems have emerged due to the broad adoption of technology. In this essay, we'll look at how the widespread use of technological solutions and the subsequent explosion in collected data affects our right to privacy and security.

Data Mining and Privacy Concerns

Risk of Cyber Attacks and Data Loss

The Widespread Use of Encryption and Other Safety Mechanisms

The Privacy and Security of the Future in a Globalized Information Age

Obtaining and Using Individual Information

The acquisition and use of private information is a significant cause for privacy alarm in the digital age. Data about their customers' online habits, interests, and personal information is a valuable commodity for many internet firms. Besides tailored advertising, this information may be used for other, less desirable things like identity theft or cyber assaults.

Moreover, many individuals need to be made aware of what data is being gathered from them or how it is being utilized because of the lack of transparency around gathering personal information. Privacy and data security have become increasingly contentious as a result.

Data breaches and other forms of cyber-attack pose a severe risk.

The risk of cyber assaults and data breaches is another big issue of worry. More people are using more devices, which means more opportunities for cybercriminals to steal private information like credit card numbers and other identifying data. This may cause monetary damages and harm one's reputation or identity.

Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have responded to this problem by adopting new security methods like encryption and multi-factor authentication.

Many businesses now use encryption and other security measures to protect themselves from cybercriminals and data thieves. Encryption keeps sensitive information hidden by encoding it so that only those possessing the corresponding key can decipher it. This prevents private information like bank account numbers or social security numbers from falling into the wrong hands.

Firewalls, virus scanners, and two-factor authentication are all additional security precautions that may be used with encryption. While these safeguards do much to stave against cyber assaults, they are not entirely impregnable, and data breaches are still possible.

The Future of Privacy and Security in a Technologically Advanced World

There's little doubt that concerns about privacy and security will persist even as technology improves. There must be strict safeguards to secure people's private information as more and more of it is transferred and kept digitally. To achieve this goal, it may be necessary to implement novel technologies and heightened levels of protection and to revise the rules and regulations regulating the collection and storage of private information.

Individuals and businesses are understandably concerned about the security and privacy consequences of widespread technological use and data collecting. There are numerous obstacles to overcome in a society where technology plays an increasingly important role, from acquiring and using personal data to the risk of cyber-attacks and data breaches. Companies and governments must keep spending money on security measures and working to educate people about the significance of privacy and security if personal data is to remain safe.

In conclusion, technology has profoundly impacted virtually every aspect of our lives, including society and culture, ethics, work, education, personal relationships, and security and privacy. The rise of artificial intelligence and machine learning has presented new ethical considerations, while automation is transforming the future of work. 

In education, technology has revolutionized the way we learn and access information. At the same time, our dependence on technology has brought new challenges in terms of personal relationships, communication, security, and privacy.

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• Technology Essay

Essay on Technology

The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes. Technology provides innovative ways of doing work through various smart and innovative means. 

Electronic appliances, gadgets, faster modes of communication, and transport have added to the comfort factor in our lives. It has helped in improving the productivity of individuals and different business enterprises. Technology has brought a revolution in many operational fields. It has undoubtedly made a very important contribution to the progress that mankind has made over the years.

The Advancement of Technology:

Technology has reduced the effort and time and increased the efficiency of the production requirements in every field. It has made our lives easy, comfortable, healthy, and enjoyable. It has brought a revolution in transport and communication. The advancement of technology, along with science, has helped us to become self-reliant in all spheres of life. With the innovation of a particular technology, it becomes part of society and integral to human lives after a point in time.

Technology is Our Part of Life:

Technology has changed our day-to-day lives. Technology has brought the world closer and better connected. Those days have passed when only the rich could afford such luxuries. Because of the rise of globalisation and liberalisation, all luxuries are now within the reach of the average person. Today, an average middle-class family can afford a mobile phone, a television, a washing machine, a refrigerator, a computer, the Internet, etc. At the touch of a switch, a man can witness any event that is happening in far-off places.  

Benefits of Technology in All Fields: 

We cannot escape technology; it has improved the quality of life and brought about revolutions in various fields of modern-day society, be it communication, transportation, education, healthcare, and many more. Let us learn about it.

Technology in Communication:

With the advent of technology in communication, which includes telephones, fax machines, cellular phones, the Internet, multimedia, and email, communication has become much faster and easier. It has transformed and influenced relationships in many ways. We no longer need to rely on sending physical letters and waiting for several days for a response. Technology has made communication so simple that you can connect with anyone from anywhere by calling them via mobile phone or messaging them using different messaging apps that are easy to download.

Innovation in communication technology has had an immense influence on social life. Human socialising has become easier by using social networking sites, dating, and even matrimonial services available on mobile applications and websites.

Today, the Internet is used for shopping, paying utility bills, credit card bills, admission fees, e-commerce, and online banking. In the world of marketing, many companies are marketing and selling their products and creating brands over the internet. 

In the field of travel, cities, towns, states, and countries are using the web to post detailed tourist and event information. Travellers across the globe can easily find information on tourism, sightseeing, places to stay, weather, maps, timings for events, transportation schedules, and buy tickets to various tourist spots and destinations.

Technology in the Office or Workplace:

Technology has increased efficiency and flexibility in the workspace. Technology has made it easy to work remotely, which has increased the productivity of the employees. External and internal communication has become faster through emails and apps. Automation has saved time, and there is also a reduction in redundancy in tasks. Robots are now being used to manufacture products that consistently deliver the same product without defect until the robot itself fails. Artificial Intelligence and Machine Learning technology are innovations that are being deployed across industries to reap benefits.

Technology has wiped out the manual way of storing files. Now files are stored in the cloud, which can be accessed at any time and from anywhere. With technology, companies can make quick decisions, act faster towards solutions, and remain adaptable. Technology has optimised the usage of resources and connected businesses worldwide. For example, if the customer is based in America, he can have the services delivered from India. They can communicate with each other in an instant. Every company uses business technology like virtual meeting tools, corporate social networks, tablets, and smart customer relationship management applications that accelerate the fast movement of data and information.

Technology in Education:

Technology is making the education industry improve over time. With technology, students and parents have a variety of learning tools at their fingertips. Teachers can coordinate with classrooms across the world and share their ideas and resources online. Students can get immediate access to an abundance of good information on the Internet. Teachers and students can access plenty of resources available on the web and utilise them for their project work, research, etc. Online learning has changed our perception of education. 

The COVID-19 pandemic brought a paradigm shift using technology where school-going kids continued their studies from home and schools facilitated imparting education by their teachers online from home. Students have learned and used 21st-century skills and tools, like virtual classrooms, AR (Augmented Reality), robots, etc. All these have increased communication and collaboration significantly. 

Technology in Banking:

Technology and banking are now inseparable. Technology has boosted digital transformation in how the banking industry works and has vastly improved banking services for their customers across the globe.

Technology has made banking operations very sophisticated and has reduced errors to almost nil, which were somewhat prevalent with manual human activities. Banks are adopting Artificial Intelligence (AI) to increase their efficiency and profits. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. 

You can now access your money, handle transactions like paying bills, money transfers, and online purchases from merchants, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe. You do not need to carry cash in your pocket or wallet; the payments can be made digitally using e-wallets. Mobile banking, banking apps, and cybersecurity are changing the face of the banking industry.

Manufacturing and Production Industry Automation:

At present, manufacturing industries are using all the latest technologies, ranging from big data analytics to artificial intelligence. Big data, ARVR (Augmented Reality and Virtual Reality), and IoT (Internet of Things) are the biggest manufacturing industry players. Automation has increased the level of productivity in various fields. It has reduced labour costs, increased efficiency, and reduced the cost of production.

For example, 3D printing is used to design and develop prototypes in the automobile industry. Repetitive work is being done easily with the help of robots without any waste of time. This has also reduced the cost of the products. 

Technology in the Healthcare Industry:

Technological advancements in the healthcare industry have not only improved our personal quality of life and longevity; they have also improved the lives of many medical professionals and students who are training to become medical experts. It has allowed much faster access to the medical records of each patient. 

The Internet has drastically transformed patients' and doctors’ relationships. Everyone can stay up to date on the latest medical discoveries, share treatment information, and offer one another support when dealing with medical issues. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many sites and apps through which we can contact doctors and get medical help. 

Breakthrough innovations in surgery, artificial organs, brain implants, and networked sensors are examples of transformative developments in the healthcare industry. Hospitals use different tools and applications to perform their administrative tasks, using digital marketing to promote their services.

Technology in Agriculture:

Today, farmers work very differently than they would have decades ago. Data analytics and robotics have built a productive food system. Digital innovations are being used for plant breeding and harvesting equipment. Software and mobile devices are helping farmers harvest better. With various data and information available to farmers, they can make better-informed decisions, for example, tracking the amount of carbon stored in soil and helping with climate change.

Disadvantages of Technology:

People have become dependent on various gadgets and machines, resulting in a lack of physical activity and tempting people to lead an increasingly sedentary lifestyle. Even though technology has increased the productivity of individuals, organisations, and the nation, it has not increased the efficiency of machines. Machines cannot plan and think beyond the instructions that are fed into their system. Technology alone is not enough for progress and prosperity. Management is required, and management is a human act. Technology is largely dependent on human intervention. 

Computers and smartphones have led to an increase in social isolation. Young children are spending more time surfing the internet, playing games, and ignoring their real lives. Usage of technology is also resulting in job losses and distracting students from learning. Technology has been a reason for the production of weapons of destruction.

Dependency on technology is also increasing privacy concerns and cyber crimes, giving way to hackers.

FAQs on Technology Essay

1. What is technology?

Technology refers to innovative ways of doing work through various smart means. The advancement of technology has played an important role in the development of human civilization. It has helped in improving the productivity of individuals and businesses.

2. How has technology changed the face of banking?

Technology has made banking operations very sophisticated. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. You can now access your money, handle transactions, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe.

3. How has technology brought a revolution in the medical field?

Patients and doctors keep each other up to date on the most recent medical discoveries, share treatment information, and offer each other support when dealing with medical issues. It has allowed much faster access to the medical records of each patient. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many websites and mobile apps through which we can contact doctors and get medical help.

4. Are we dependent on technology?

Yes, today, we are becoming increasingly dependent on technology. Computers, smartphones, and modern technology have helped humanity achieve success and progress. However, in hindsight, people need to continuously build a healthy lifestyle, sorting out personal problems that arise due to technological advancements in different aspects of human life.

Essay on Technology – A Boon or Bane for Students

500+ words essay on technology for students.

In this essay on technology, we are going to discuss what technology is, what are its uses, and also what technology can do? First of all, technology refers to the use of technical and scientific knowledge to create, monitor, and design machinery. Also, technology helps in making other goods that aid mankind.

Essay on Technology – A Boon or Bane?

Experts are debating on this topic for years. Also, the technology covered a long way to make human life easier but the negative aspect of it can’t be ignored. Over the years technological advancement has caused a severe rise in pollution . Also, pollution has become a major cause of many health issues. Besides, it has cut off people from society rather than connecting them. Above all, it has taken away many jobs from the workers class.

Familiarity between Technology and Science

As they are completely different fields but they are interdependent on each other. Also, it is due to science contribution we can create new innovation and build new technological tools. Apart from that, the research conducted in laboratories contributes a lot to the development of technologies. On the other hand, technology extends the agenda of science.

Vital Part of our Life

Regularly evolving technology has become an important part of our lives. Also, newer technologies are taking the market by storm and the people are getting used to them in no time. Above all, technological advancement has led to the growth and development of nations.

Negative Aspect of Technology

Although technology is a good thing, everything has two sides. Technology also has two sides one is good and the other is bad. Here are some negative aspects of technology that we are going to discuss.

Get the huge list of more than 500 Essay Topics and Ideas

With new technology the industrialization increases which give birth to many pollutions like air, water, soil, and noise. Also, they cause many health-related issues in animals, birds, and human beings.

Exhaustion of Natural Resources

New technology requires new resources for which the balance is disturbed. Eventually, this will lead to over-exploitation of natural resources which ultimately disturbs the balance of nature.

Unemployment

A single machine can replace many workers. Also, machines can do work at a constant pace for several hours or days without stopping. Due to this, many workers lost their job which ultimately increases unemployment .

Types of Technology

Generally, we judge technology on the same scale but in reality, technology is divided into various types. This includes information technology, industrial technology , architectural technology, creative technology and many more. Let’s discuss these technologies in brief.

Industrial Technology

This technology organizes engineering and manufacturing technology for the manufacturing of machines. Also, this makes the production process easier and convenient.

Creative Technology

This process includes art, advertising, and product design which are made with the help of software. Also, it comprises of 3D printers , virtual reality, computer graphics, and other wearable technologies.

Information Technology

This technology involves the use of telecommunication and computer to send, receive and store information. Internet is the best example of Information technology.

FAQs on Essay on Technology

Q.1 What is Information technology?

A –  It is a form of technology that uses telecommunication and computer systems for study. Also, they send, retrieve, and store data.

Q.2 Is technology harmful to humans?

 A – No, technology is not harmful to human beings until it is used properly. But, misuses of technology can be harmful and deadly.

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Social Media Is Not What Killed the Web

Better browsers made things worse.

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“Was the internet really this bad?” I wondered to myself as I read the September 1995 issue of The Atlantic . I was reading the issue in digital form, displayed on Netscape Navigator 3 on a mid-’90s Macintosh. Or, at least, on a software version of the browser and Mac provided on the website OldWeb.Today . The site houses an emulator that connects to the Internet Archive’s record of websites, providing a full computing experience of the World Wide Web of three decades ago.

That experience was the badness I was pondering. Not the magazine itself—which began publishing online with this issue, whose cover story asked “ How Lincoln Might Have Dealt With Abortion ”—but the way I was reading it. The article page looked awful: The nameplate was strangely positioned, and the text was hard to read. Resizing the browser window fixed the layout, but my eyes and brain still struggled to process the words. I was alive and online that fall 29 years ago, but in my memory the web was magical, like a portal into a new way of life—not a clunky mess like this. Now, having had the chance to travel back in time, I wonder if the clunkiness wasn’t in its way a midwife to that wonder.

Sometime in late 1994, a friend of mine opened a program called Mosaic in the basement computer lab at the university library. “You’ve got to see this,” he said as he started typing in akebono.stanford.edu. A gray page loaded with “Yahoo” printed at the top of a bullet list of blue links. Nothing special, but I was impressed: The World Wide Web was still new, and finding anything of use was difficult. This new, playfully named website offered a directory of sites by category—computers, politics, entertainment, and so forth.

Read: Yahoo, the destroyer

Now, using the OldWeb emulator, I’d been transported back into this era: 1995 to 1996. I didn’t know where to go on the web back then—Google wouldn’t arrive for another few years—so I returned to primeval Yahoo for help. Poking through this directory anew, I visited a website on film and television careers, where I took in an interview with the prop master David Touster (the most exciting part of his job: “the pleasure of creating a vision with creative people”). I visited a webzine about gender equality, illustrated with loosely rendered, line-drawing figures that, I recalled, were a bit of an aesthetic at the time. I visited a site called WebEthics.com to see how the early internet thought about online dangers. The biggest one turned out to be money. Commercial websites should disclose their purpose, Web Ethics said. There was a list of websites that failed to do this, called the Dirty Dozen. The top entry, a site called All Business Network, was accused of being a stealth infomercial. No. 2 read “Coming soon,” and the other 10 slots were blank.

This is how the internet felt back then: promising but empty. Nobody says surfing the web anymore, but at the time the phrase made sense as a description of the lugubrious, often frustrating task of finding entertainment. A visitor online felt like a beach bum waiting to catch a wave. ( Channel surfing described a similar vibe one got from watching television.) A lot would change in the years that followed. For one thing, much to the chagrin of the operators of WebEthics.com, the internet quickly commercialized. But even then, “content,” as we call it today, was rare. You might read an article or visit a brochure-ware website for a car or a vacuum, or even purchase a book at Amazon. What you wouldn’t do was spend your whole day online.

Connectivity was one reason. The library computer lab was connected via high-speed Ethernet, but home use still monopolized the phone line as bits were eked out slowly from a modem. Wi-Fi wasn’t yet widely available, and a computer was a place you had to go in the house. Using the OldWeb emulator on my laptop, I recalled how much we used to rely on the status bar at the bottom of the window (now mostly retired) for updates on the process of loading a webpage, and on the little browsing animation—Netscape’s was a view of shooting stars—for distraction while we waited. Online life was mostly waiting.

Because every click brought more delay, one clicked more deliberately. Browsers displayed visited links in a different color (purple by default, instead of blue). They still do this, but nobody cares anymore; using the OldWeb browser reminded me that those purple links helped you navigate a strange and arduous terrain. Yes, that’s where I meant to go , or Nope, already been there .

Once you reached your destination, you’d be confronted with a series of distractions. Screens were small back then, with low-resolution text and graphics. On The Atlantic ’s old website, the type was small and pixelated. Italics were not truly semicursive, with curved letterforms, but slanted versions of roman. Lines of text ran most of the way across the screen without a break. In order to read an entire article using Netscape in Macintosh System 7, I had to interrupt myself repeatedly to click the scroll-bar button. These minor glitches may have worn away our capacity to focus. But we had no idea how much worse that problem could become.

Much has been made of the ways in which social-media sites made internet life compulsive and all-consuming. Web search and shopping, too, have turned people’s data into ads, leading them to spend ever-greater quantities of time and money online. But my OldWeb visit revealed to me that the manufacturers of computer devices and their basic software made this transformation possible. Instagram or Google would have been compelling on the old internet, but they’re surely more so now, seen on bright displays with the pixel density of a printed magazine. Before the web was good—before PCs were good—one had trouble spending hours just in Word or Excel. That may have been a blessing.

It’s easy to portray the websites and browsers on OldWeb.Today as primitive, early steps along an evolutionary path. But at least some of what hadn’t yet been figured out about the web simply wasn’t worth pursuing. The World Wide Web of the 1990s was a place you went into for a little while until it spat you out. As an activity, it had an end—which came when someone needed the phone, when your eyestrain overcame your interest, when the virtual ocean failed to spawn a wave worth surfing. Now the internet goes on forever.

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Essay on “Technology and Today’s World” Complete Essay for Class 10, Class 12 and Graduation and other classes.

Technology and Today’s World 

The technology which surrounds almost everyone in the modern society, affects both work and leisure activities. Technology contains information that many would rather it did not have. It influences minds in good and bad ways, and it allows people to share information which they would otherwise not be able to attain. Even if a person does not own a computer or have credit cards, there is information on a computer somewhere about everyone. The technology which is presently beginning to be manipulated and harnessed is affecting the minds of small children and adolescents in ways that could be harmful. It is affecting our immediate future. It also gives another form of communication and exchange of information which was not available before, information that is both good and bad. Different elements affect how satisfied we are with our lives. The impact of technology on these elements can change how safe, healthy and happy people feel. Throughout history, people have looked for better ways to meet their needs and to satisfy their expectations. Technology has improved the way people feed, clothe and shelter themselves. Technology has also changed other aspects of everyday life, such as health care, education, job satisfaction, and leisure time activities. People have used technology since they first chipped stone blades to improve their hunting.

 Technology is often considered a key to a nation’s economic growth. Most economists would say that it is one of the factors in economic growth. Jobs may be lost in one industry, such as agriculture but new jobs may emerge in other sectors of the economy. There may be more jobs or, in some case, completely new kinds of jobs. Tech iolog) may also be used to solve urgent problems. Our growing population is using up infinite supplies of natural resources. Innovations in technology can allow for more efficient use of limited or scarce resources. Today, several important new advances in technology are transforming. These technologies create new products; most of them also change the way people in society interact. These technologies have a tremendous impact on our monetary resources.

Although robotics have a well-established position in the Japanese industry, it has not, so far, turned out to be what many experts thought it would. The general trend of the use of robotics is likely to change, perhaps dramatically, in the next two decades. Robots are in one sense collections of other more basic technologies: sensors, controlling and analysis software, pattern recognition capabilities and so on. Most all of these other technologies will make significant strides in capability, size, power requirements, and other design characteristics and the integration of these other advances should accrue directly to robotics.

Robots are machines which combine computer technology with industrial machines. The computers are programmed to operate the machines. Robots are gradually being introduced on assembly lines in some industries. In automated factories, the amount produced by each human worker increases tremendously, but robots are very expensive for industries to buy. Only large industries, such as the auto industry, currently develop, though, the cost of robots is dropping and improvements to robots are making them more flexible so more manufacturers will find them useful. Extraordinary Technology Computers are used in most manufacturing industries today. Computers are used to automate processes in much faster ways. These can be office procedures such as word processing or book-keeping, or production processes such as cutting and assembling clothes. Computers are becoming an important part of industrial design. Computer-aided design (CAD) and computer-aided manufacturing (CAM) are new terms which describe the important role computers have come to play in our industry. The wide use to computers has stimulated companies which manufacture the many parts needed to make and operate them. Some people, however feel that computer technology has gone too far. It may create problems such as machine errors in people’s records and banks and governments may gain access to private financial information. Computerization has made it easier for banks to keep track of individual baking transactions so charges for these have increased. Branch-bank employees worry that computers and automated tellers may replace people. While technological change has been a priority for banks over the last years, they also recognize the need to communicate in person with customers. Banks must manage money and data effectively but they must also maintain personal relations. Bank personnel may be assisted with computer and some services may work well when automated but banks will probably never lose their staffs to machines. A new information-technology-driven circle 1pf growth has replaced the aging manufacturing ring and scarcely not many have noticed. With the new wave of the Internet minds of not only small children, but also adolescents and adults become influenced by this outside information. As the mind develops, things such as pornography is no longer the main concern. Now, because of the easy access to information, the fourteen years old who has just discovered that she failed ninth grade can find out how to make a bomb out of household detergents. As can the laid-off business man, the dumped boyfriend, and the deranged psycho. Technology is not all bad. The whole point of this is that people have to be sure that everyone is aware of all the good and bad aspects of technology.

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TechScape: How one man stopped a potentially massive cyber-attack – by accident

In this week’s newsletter: An unknown attacker carefully infiltrated Linux over Easter, and very nearly gained access to millions of computers – were it not for one mildly inconvenienced developer

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How was your Easter bank holiday? Did you use it well by, for instance, preventing a globally destructive cyber-attack? No? Try harder, then.

This weekend, a cautious, longstanding and very nearly successful attempt to insert a backdoor into a widely used piece of open-source software was thwarted – effectively by accident. From Dan Goodin at Ars Technica :

Researchers have found a malicious backdoor in a compression tool that made its way into widely used Linux distributions, including those from Red Hat and Debian. Because the backdoor was discovered before the malicious versions of xz Utils were added to production versions of Linux, “it’s not really affecting anyone in the real world ”, Will Dormann, a senior vulnerability analyst at security firm Analygence, said in an online interview. “BUT that’s only because it was discovered early due to bad actor sloppiness. Had it not been discovered, it would have been catastrophic to the world.”

The attempted hack is what is known as a “supply chain” attack. By carefully and slowly pushing updates to a little-known compression tool shipped with some Linux distributions, a free and open-source operating system, the attacker very nearly ended up with a backdoor to millions of computers at once. Whether the intention was to bide their time and then use that access for a mass hacking campaign or to execute a very patient and targeted attack on a single user is unclear at this time, though the patient and methodical nature of the attack is enough to have observers speculating that a state actor was behind it.

The backdoor itself was added to the tool by one of its two main developers, who had spent three years making real and useful contributions and the past two being one of the two official maintainers. There is still the chance the account was compromised, but if it was, it was an extremely cautious takeover: the malicious code was added to the software periodically over a long period of time, with plausible explanations given every time, and when the final backdoored version was complete, the same user headed over to the developer site for one popular version of Linux to ask that it use the updated version as soon as possible since it supposedly fixed critical bugs.

And it came so close to being public. The backdoored version was shipped in the beta versions of three different versions of Linux, and for two days, in the main release of one distribution, Kali Linux. When there, it allowed someone with the right private key to start a new encrypted connection and hijack the machine entirely.

So how was it spotted? A single Microsoft developer was annoyed that a system was running slowly. That’s it. The developer, Andres Freund, was trying to uncover why a system running a beta version of Debian, a Linux distribution, was lagging when making encrypted connections. That lag was all of half a second, for logins. That’s it: before, it took Freund 0.3s to login, and after, it took 0.8s. That annoyance was enough to cause him to break out the metaphorical spanner and pull his system apart to find the cause of the problem.

Many hands make light work, and many eyes make shallow bugs. That’s the idea, at least, and sometimes it works. We discussed last month the ways in which the open source world can fail to live up to expectations :

Giving software away for free is great for a whole host of reasons – but quite bad at funding continued development of that software. There have been loads of attempts to fix that, from models of development where the software is free but the support is paid, to big companies directly hiring maintainers of important open-source projects. Lots of projects have ended up in a tip or supporter-focused model (remind you of anyone?), which can work for big complex tasks but falls down for some of the simplest – yet most widely used – pieces of work.

The attack on xz Utils nearly became another example of the risks of relying on volunteer work to underpin some of the most important digital infrastructure in the world. A harried maintainer with little time to spare on a side project was suddenly offered help, and came under pressure to accept it – likely from exactly the same group, posting under a few fake names. Slowly cuckooed out of his own project, things nearly turned very nasty indeed.

But this case also shows the benefits of the approach. Supply chain attacks aren’t unique to the open source world, and the vague structure of the attack – getting a job building an underexamined component of critical infrastructure, and slowly and carefully working to introduce a secret weakness into it – is something that can, and does, happen in normal businesses too.

What doesn’t happen is being able to tear apart the problematic software piece by piece, and track down exactly the moment when a malicious backdoor was introduced. If a supply chain attack succeeds against a closed business like Apple or Google, even discovering it is there at all is wildly difficult for third-parties, and fixing it is effectively impossible.

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Don’t forget Office

There’s been a lot of discussion of tech antitrust recently – including in this newsletter – largely focusing on two main trends: on the one hand, the rise of AI, and what the enormous data and compute demands of the sector mean for competition; and on the other, the increasing tension caused by “gatekeepers”, in the EU’s language, who are generally seen as not being monopolists in the classical sense, but who nonetheless hold market-warping powers.

And then there’s Microsoft. Despite losing the most famous tech antitrust case in history and being the second largest publicly traded company in the world, the Windows factory has sort of flown under the radar. Even the Activision Blizzard acquisition, while the subject of intense scrutiny and a decisive moment in the CMA’s growing self-confidence, basically ended up being passed.

So it’s sometimes weird to be reminded that, no, actually, doing things like “cloning a major piece of business software and then shipping it for free to all users of your own business software suite” is pretty squarely the sort of thing that regulators look down on. And so, Reuters reports :

Microsoft will sell its chat and video app Teams separately from its Office product globally, the U S tech giant said on Monday, six months after it unbundled the two products in Europe in a bid to avert a possible EU antitrust fine. The European Commission has been investigating Microsoft’s tying of Office and Teams since a 2020 complaint by Salesforce-owned competing workspace messaging app Slack.

Since it launched in 2017, Teams has, it is fair to say, utterly trounced Slack in the enterprise market. How much of that is due to the fact that Microsoft was already dominant in the market for enterprise office software and used that position to cross-subsidise its own free competitor to Slack? It’s impossible to say but the answer is unlikely to be “not at all”. Will reversing that now, years after Teams overtook Slack by user count, change things? Answers on a postcard, but not a Teams message, please – the Guardian uses Google Chat.

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Impact of Technology on Communication Essay

Introduction, advancement of technology in communication, media technology and online communication, the impacts of mobile phone on communication, reference list.

The realm of technology is ever-changing. New advances in applied science have forever transformed the way people interact. Exploring the impact of technology on communication and debating whether people connect with others differently seems to be the topic of the day.

Technology has allowed people to keep in touch no matter the distance. One is able to communicate 24 hours around the clock, seven days a week, 365 days on an interpersonal level.

What are the real impacts of technology on communication? How do electronics mediate and change the ways in which humans interact? How has the emergence of the Internet, mobile phones, and social networks affected society and businesses?

In order to reveal the importance of technology in communication, the essay tries to find answers to these questions. It explores how everything has changed over the years and discusses the connection between technology and communication.

To begin this examination and find answers to these questions, we begin by defining media and communication and outlining the stages of technological advancement from old age to the present day in the field of communication. The paper will highlight the use of the Internet, newspapers, radio, and other media, but it mostly dwells on the use of mobile telephony.

Communication is “the imparting or exchange of information by speaking, writing or using some other medium” (Daniel & Rod, 2011). On the other hand, media is defined as “the main means of mass communication (television, radio, and newspapers) regarded collectively.”

Technology has changed everything in the modern society. The way we communicate has been revolutionized by the advancement of new innovations in the telecommunication sector. Connecting with other people with ease is more feasible in today’s world, and this is due to speed.

Several centuries ago, books and newspapers reigned as the only choice of communication. Then later, innovators brought the radio and television before innovation was taken a notch higher with the coming of the personal computer (Johnson, 1997, p.3).

With every new innovation, the reliance on books and newspapers as the mass medium of communication continued to reduce. With time, human culture has come to understand the power and the mechanisms involved in technology and invention. In today’s world, information has permeated the cycles of change and development.

The world today, past and present, can be studied at ease with the growing information technology. Technology has advanced with sheer velocity allowing different media to shape our thinking and habits. The people who were born during the television era thought that it was the climax of innovation, but they suddenly found themselves acclimating to a new medium, the World Wide Web.

Every time a new medium rolls out, the perceptions towards the previous media you were used to change (Johnson, 1997 p5). Technology proved to be powerful in the sense that no human being can predict what will change and what won’t with certainty.

The irony of it all is the fact that the influence of technology extends beyond generations to come. It is with no doubt that technology has changed the lives of human beings; information and entertainment are being received in a more convenient way.

The innovation of having a conversation using a device called the telephone changed everything in communication. This became magical, and one couldn’t believe such innovation would exist (Tofts, 1997, p.40).

With the emergence of new media technologies, consumers have been empowered to ‘filter’ the information they want to receive. This allows them to have a choice of which news to watch or what information to listen to (Palmer, 2003, p.161).

Media consumption has been made an engaging experience with marketers studying the preferences of the consumers in order to reflect broader social changes in society. In today’s world, the computer is seen as a multi-purpose machine with work and leisure functions, therefore, creating more value.

The rise of the Internet has also made it possible to have virtual offices where the user can work from home or any convenient location. The flow of information from different media has greatly changed the social structures of society at different levels (Barry, 1999).

Digital media has enabled news and event to be channeled in real-time. The combination of the Internet and commerce has given birth to e-commerce sites providing huge potential for marketers to reach out to virtual communities.

In the world today, there are numerous media screens within our surroundings. This ranges from the television sets in our houses, computer monitors at the office, mobile phones and MP3 players in our pockets and handbag.

Even when shopping or waiting to board a plane, you’re most probably staring at screens with entertainment media (Soukup, 2008, p.5). Heavy marketing has been adopted by producers of mobile technologies targeting consumers who possess mobile phones with picture and video capacity (Goggin, 2006, p.170).

Media texts producers have termed mobile media as a “third screen,” a device that consumers carry around with much ease. Unlike television screens, broader communication networks have been integrated into personal computers and mobile phones (Goggin, 2006, p.9).

Train, buses, and airplanes have been dominated by mobile screens providing passengers with entertainment as well as other media content, especially advertisements (Caron & Carona, 2007, p.17). With a lot of commercial media content, the preferences of people change in their everyday lives.

The world of popular media has become chaotic, with hundreds of television channels to choose from, thousands of songs ready for download, and not forgetting millions of web pages to surf.

The emergence of social media like Facebook and Twitter has enabled people to manage interactions and relationships with many friends. Technologies have impacted interpersonal communication enabling people to interact more often than before.

In addition to reducing the distance between people, online communication with tools like Facebook and Twitter enables people to keep track of their contacts with friends and are more aware of the last time they interacted with them. Online communication now incorporates more than one mode of contact, including text, voice, and body language.

A mobile phone is a device that has always been seen as connecting people who are far apart, thus overcoming the geographical distance between them. The number of mobile phone users has continued to increase substantially. The mobile phone has been integrated as part of people’s lives in the sense that it’s available and easy to use, keeping us connected to our families, friends, and business people (Ling, 2004, p.21-24).

The how and when the way we use our mobile phones impacts our communication not only with those we’re communicating with but also with the people within our proximity. At this point, it is paramount to note the changes that have taken place and that have allowed the adoption of mobile phones. The tremendous proliferation of this device has drastically changed the traditional communication model.

Who are the users of mobile phones, and for what purposes do they use them? Has there been any change in the way mobile phone facilitates communication? How has the face to face interaction been affected by mobile calls? Has mobile communication enhanced relationships?

These are some of the questions that arise when we try to fathom the way communication has affected our personal and professional lives. There are sentiments that mobile phones have reduced humans to emotionless beings.

There is no doubt that the revolution brought about the use of mobile phones in the way we communicate. There have been different perceptions among individuals and social levels in society in regard to mobile usage.

When we had fixed telephone lines that were put in a booth, telephones were seen as business tools only and were placed in a fixed, quiet environment. There was restriction when it came to teenagers using these phones (Agar, 2003). The ‘birth’ of mobile phones brought changes, and phone calls became a habit to many irrespective of age or location.

Today, people can use mobile phones wherever they are in private or in public. People have been addicted to their mobile phones more than any other gadget known to man, with the device remaining on throughout. Its portability enables people to carry it wherever they go (Castells, 1996).

A personal virtual network has been created whereby users can be available at all times to communicate with friends, family, and colleagues. The geographical barrier has been destroyed, making people feel close to one another, and the face to face communication has been rendered rather less important with this mediated communication (Richard, 2004, p.22).

Meetings and briefings have become obsolete, with communication being mediated by a computer or a phone. Mobile SMS (short messaging service) service and the Internet has become the preferable communication channels for most teenagers and young people all over the world (Plant, 2000, p.23).

There are places where mobile phones have become taboo devices, places like churches and crucial corporate meetings. At such places, the mobile ring is seen as a nuisance. In other scenarios, it is seen as a destructive device by acting as a third party and especially for dating couples who want to have a private conversation.

Any phone ring is seen as an ‘intruder,’ and this harms the relationship between the partners (Plant, 2000, p.29). In his research, Plant observes that there are those people who use mobile as ’a means of managing privacy where calls are carefully selected’. He categorizes this group of people as ‘hedgehogs.’

The other category is those people who use mobile phones as the key central part of their life. They become so attached to the device and cannot do without it. Plant referred to this group as ‘fox.’ They are regular users who need to feel connected with their families and friend. Their life will be dreadful if they lack the device (2000, p.32).

Telephones have promoted the use of text messaging and modernization since it’s allowing people to communicate more both verbally and by texting in a more convenient and efficient way. SMS has made communication to be more immediate, and users can customize the message at ease with the various applications installed on their mobiles (Richard, 2004, p. 100).

The advanced phones have email support as well as multimedia messages making chatting become a lifestyle for many who conduct business and those initiating intimate communication. It has emerged that SMS has made people become more united.

Users have developed abbreviated messages, which are now universally accepted as an appropriate language. The initial purpose of the phone to make calls has even lost taste with many people, especially the young generation.

According to Reid &Reid, more than 85% of teenagers prefer texting to talking on their mobile usage (Reid & Reid, 2004, p.1). There is ease of communication when it comes to texting in the sense that some formalities are eliminated, making communication more personal.

Texting has helped introverts who may lack the skills to have phone conversations allowing them to express their true self to other people leading to greater understanding and stronger relationships (Reid & Reid, 2004, p.8).

The use of mobile technology has affected the personalities of people to a great extent. Today, more people are hiding their feelings and whereabouts behind mobile phones, and this has raised suspicions among families, friends, and couples.

People go through text messages of others just to find out more about the individual who might even have no clue about what is happening. Contrary to this, most people believe that mobile is so crucial in enhancing the relationship between people no matter the distance and that it bonds us together more than it separates us (Plant, 2000, p.58).

The usage of mobile phones by children and teenagers has changed the way parents bring up their kids. Parenting has really changed as parents try to increase their surveillance and monitor their children’s mobile usage.

Their concern is to know who communicates with their kind and the kind of conversations they normally have. They are worried about the kind of social network the children create in their contact lists.

With the emergence of virtual communities, the influence of mobile phones has spilled over and affects parenting in general. Nonetheless, the primary purpose of mobile phones to facilitate communication has not changed.

There is no doubt that technology has changed the way humans communicate. Great impacts can be seen in the way communication has changed the social structures of our society at all levels. Even in years to come, technology remains the driving force of the way people interact.

The advancement of technology ensures that communication is quicker and that more people remain connected. There has been an evolution in interpersonal skills with the advancement of technology, and users should always be keen on adapting to new ways of communication.

Technology has continually brought new methods of communication leading to the expansion of mediated communication. The reality of having one message shared across a huge audience (mass communication) is now with us. A situation where neither time nor geography can limit the accessibility of information.

We have seen the merging together of newspapers and books with computer technology so that the frequency and ease of reporting information and advertisements can be increased. The exposure of both individuals and society to mediated communication has therefore affected our daily lives, particularly in our culture and the way we communicate.

Agar, J., 2003. Constant Touch: A Global History of the Mobile Phone . Cambridge: Icon Books.

Barry, W., 1999. Networks in the Global Village . Boulder Colo: Westview Press.

Caron, A, & Caronia, L., 2007. Moving cultures: mobile communication in everyday life. Montreal: McGill-Queen’s University Press.

Castells, M., 1996. The Information Age: Economy, Society and Culture, Volume 1. The Rise of the Network Society . Oxford: Blackwell.

Daniel, C., & Rod, M., 2011.The Dictionary of Media and Communications . Oxford: Oxford University Press.

Goggin, G., 2006. Cell phone culture mobile technology in everyday life. New York: Routledge.

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Days After U.N. Cease-Fire Resolution, Has Anything Changed in Gaza?

The United Nations Security Council passed a resolution on Monday that demands an immediate cease-fire in the Gaza Strip. Here’s a closer look at where the situation stands.

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By Matthew Mpoke Bigg

• March 29, 2024

Although the United Nations Security Council passed a resolution on Monday that demands an immediate cease-fire in the Gaza Strip, it remains to be seen whether ​i​t ​w​ill have a concrete effect on the war or prove merely to be a political statement.

The measure, Resolution 2728, followed three previous attempts that ​t​he United States ​had blocked. It passed by 14 votes, after the United States abstained from voting and did not employ its veto.

The resolution also calls for the unconditional release of all hostages and the end to barriers to humanitarian aid.

Israel’s government condemned the vote, and early indications are that the U.N.’s action has changed little on the ground or spurred diplomatic progress.

Days after the vote, here’s a look at what has changed and what might happen next:

Has the resolution affected fighting?

Senior Israeli officials said that they would ignore the call for a cease-fire, arguing that it was imperative to pursue the war until it has dismantled the military wing of Hamas, the militant group that led the Oct. 7 attack on Israel.

Since Monday, there has been no apparent shift in the military campaign . Israel’s air force continues to pound Gaza with strikes, and Hamas is still launching attacks.

Israel’s military is pressing on with a raid at Al-Shifa Hospital in northern Gaza, the territory’s biggest medical facility, as well as its offensive in Khan Younis, the largest city in the south, where fighting has been fierce.

If Israel doesn’t heed the resolution, what can the U.N. do?

The Security Council has few means to enforce its resolutions. The Council can take punitive measures, imposing sanctions against violators. In the past, such measures have included travel bans, economic restrictions and arms embargoes.

In this case, however, legal experts said that any additional measure would require a new resolution and that passing it would require consent from the council’s five veto-holding members, including the United States, Israel’s staunchest ally.

There may be legal challenges as well. While the United Nations says that Security Council resolutions are considered to be international law, legal experts debate whether all resolutions are binding on member states, or only those adopted under chapter VII of the U.N. charter , which deals with threats to peace. The resolution passed on Monday did not explicitly mention Chapter VII.

U.N. officials said it was still binding on Israel, but some countries disagreed. South Korea said on Monday that the resolution was not “ explicitly coercive under Chapter VII,” but that it reflected a consensus of the international community.

Crucially, the U.S. ambassador to the United Nations, Linda Thomas-Greenfield, maintained that the resolution was nonbinding . The United States, which holds significant power on the Security Council because of its permanent seat, likely views the passage of the resolution as more a valuable political instrument than a binding order, experts said.

The U.S. abstention sends a powerful signal of its policy priorities even if, in the short term, the Security Council is unlikely to take further steps, according to Ivo H. Daalder, a former American ambassador to NATO.

“Neither Israel or Hamas is going to be swayed by a U.N. resolution,” Mr. Daalder said.

What about aid?

Israel controls the flow of aid into Gaza, and after five months of war, Gazans are facing a severe hunger crisis bordering on famine, especially in the north, according to the United Nations and residents of the territory.

Aid groups have blamed Israel, which announced a siege of the territory after Oct. 7. They say officials have impeded aid deliveries through inspections and tight restrictions.

Israel argues that it works to prevent aid reaching Hamas and says that its officials can process more aid than aid groups can distribute within the territory. Growing lawlessness in Gaza has also made the distribution of aid difficult, with some convoys ending in deadly violence.

Little has changed this week. The number of aid trucks entering Gaza on Tuesday from the two border crossings open for aid roughly matched the average daily number crossing this month, according to U.N. data. That figure, about 150 trucks per day, is nearly 70 percent less than the number before Oct. 7.

How has the resolution affected diplomacy?

Israel and Hamas appear to still be far apart on negotiations aimed at brokering a halt in fighting and an exchange of hostages for Palestinian prisoners.

Mediators have been in Qatar to try to narrow the gaps. But late Monday, Hamas rejected Israel’s most recent counterproposal and its political leader, on a visit to Tehran this week, said the resolution showed that Israel was isolated diplomatically.

Prime Minister Benjamin Netanyahu of Israel has argued that the resolution set back negotiations, emboldening Hamas to hold out for better terms.

The biggest sticking point in the cease-fire talks had recently been the number of Palestinian prisoners to be released, in particular those serving extended sentences for violence against Israelis, U.S. and Israeli officials have said.

Matthew Mpoke Bigg is a correspondent covering international news. He previously worked as a reporter, editor and bureau chief for Reuters and did postings in Nairobi, Abidjan, Atlanta, Jakarta and Accra. More about Matthew Mpoke Bigg

Our Coverage of the Israel-Hamas War

News and Analysis

Seven aid workers  with World Central Kitchen were killed when their convoy was hit by an Israeli strike in Gaza . Prime Minister Benjamin Netanyahu of Israel called the strike “a tragic case of our forces unintentionally hitting innocent people.”

After the deadly strike on World Central Kitchen workers, other aid groups in Gaza said they were more concerned than ever about the safety of their staff members .

Thousands of Israelis have taken to the streets to call for early elections to oust Netanyahu . Many of them believe he has put his political survival  ahead of the broader interests of the Israeli people.

Internal Roil at TikTok: TikTok has been dogged for months by accusations that its app has shown a disproportionate amount of pro-Palestinian and antisemitic content to users. Some of the same tensions  have also played out inside the company.

Palestinian Detainees: Israel has imprisoned more than 9,000 Palestinians suspected of militant activity . Rights groups say that some have been abused or held without charges.

A Hostage’s Account: Amit Soussana, an Israeli lawyer, is the first former hostage to speak publicly about being sexually assaulted  during captivity in Gaza.

A Power Vacuum: Since the start of the war, Prime Minister Benjamin Netanyahu of Israel has done little to address the power vacuum that would appear after Israeli forces leave Gaza. The risks of inaction are already apparent in Gaza City .

Trump Media auditor warns that losses 'raise substantial doubt' about company's ability to continue

An auditor has raised doubts about the ability of former President Donald Trump's publicly traded company to stay in business, according to a new regulatory filing .

Trump Media and Technology Group , which operates the Truth Social platform, reported it lost $58.2 million in 2023 while generating total revenues of $4.1 million, according to the Monday filing with the Securities and Exchange Commission. Trump Media listed its largest expense for the year as interest payments totaling more than $39 million.

The filing includes a note from an independent accounting firm, Colorado-based BF Borgers CPA PC, warning that Trump Media's "operating losses raise substantial doubt about its ability to continue as a going concern." In a separate filing Monday , Trump Media cited the auditor's analysis in describing the risks facing the business. Borgers has worked with Trump Media since 2022.

The note is dated March 25, the day before Trump's company started trading on the Nasdaq stock exchange under the symbol DJT, surging at first and earning comparisons to so-called meme stocks .

Shares of the company fell more than 21% to $48.66 on Monday. Its market value stood at more than $6.5 billion.

A spokesperson for Trump Media referred a request for comment to a Monday news release that quotes Trump Media CEO and former U.S. Rep. Devin Nunes.

“Closing out the 2023 financials related to the merger, Truth Social today has no debt and over $200 million in the bank, opening numerous possibilities for expanding and enhancing our platform," Nunes said in the release. "We intend to take full advantage of these opportunities to make Truth Social the quintessential free-speech platform for the American people.”

In the filing, the company acknowledged that it expects to operate at a loss for the "foreseeable future" as it works to expand Truth Social's user base and attract more advertisers. It said it would be "premature" to predict when it will attain profitability and positive cash flows from its operations.

As of the end of 2023, Trump Media had about $2.6 million in cash on hand and total liabilities of $70.1 million, according to the filing. The company received an infusion of about $300 million from its merger a week ago with shell company Digital World Acquisition Corp.

Trump Media went public last week and gave the former president a paper net worth of around $7 billion. However, Trump is barred from selling the shares he owns in the company for six months. Even before the latest losses were revealed, analysts said the value of the company would plummet if Trump were to sell his shares.

“If he goes ahead [with selling], it could sink DJT by at least 15% to 40% based on option pricing,” said Ben Emons, senior portfolio manager and head of fixed income at NewEdge Wealth, in a research note.

In a filing, the company cited Trump's candidacy for the presidency in warning that "he may divest his interest in Truth Social and may cease any involvement in its management."

Analysts also expect trading in the stock to be volatile while the legal and political fortunes of the former president shift as he seeks a new term in the White House. John Rekenthaler, vice president for research at Morningstar financial services group, likened the company's stock to a cryptocurrency .

"As with bitcoin, people buy Trump Media not for future cash flows but because: 1) they expect its price to rise, and 2) they feel an affiliation for the asset," Rekenthaler wrote. "Bitcoin owners are members of a club. So, too, are Trump Media investors, to an even greater degree. For them, DJT shares represent a currency by which they can express their beliefs and commitment."

Rob Wile is a breaking business news reporter for NBC News Digital.

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Trump’s social media company gains in its first day of trading on Nasdaq

Pedestrians walk past the Nasdaq building in New York on Tuesday, March 26, 2024. Donald Trump’s social media company begins trading publicly Tuesday. Trump Media & Technology Group Corp. was acquired Monday by a blank-check company called Digital World Acquisition Corp. Trump Media, which runs the social media platform Truth Social, now takes Digital World’s place on the Nasdaq stock exchange. (AP Photo/Peter Morgan)

FILE - The Truth Social account for former President Donald Trump is seen on a mobile device, Wednesday, March 20, 2024, in New York. Trump Media & Technology Group, whose flagship product is social networking site Truth Social, will begin trading on the Nasdaq stock market on Tuesday, March 26, 2024. The common stock of Trump Media & Technology Group will trade under the ticker symbol “DJT.” (AP Photo/John Minchillo, File)

Pedestrians walk past the Nasdaq building Tuesday, March 26, 2024, in New York. Trump Media, which runs the social media platform Truth Social, now takes Digital World’s place on the Nasdaq stock exchange. (AP Photo/Frank Franklin II)

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NEW YORK (AP) — Shares of Donald Trump’s social media company rose about 16% in the first day of trading on the Nasdaq, boosting the value of Trump’s large stake in the company as well as the smaller holdings of fans who purchased shares as a show of support for the former president.

Trump Media & Technology Group Corp. merged Monday with a blank-check compan y called Digital World Acquisition Corp. Trump Media, which runs the social media platform Truth Social , has now taken Digital World’s place on the Nasdaq stock exchange.

Shares closed at $57.99, up 16.1%, giving the company a market value of $7.85 billion. At one point the stock was up about 59%. Trump holds a nearly 60% ownership stake in the company , now worth about $4.6 billion.

Many of those investing in Trump Media are small-time investors either trying to support Trump or aiming to cash in on the mania, instead of big institutional and professional investors. Those shareholders helped the stock of Digital World more than double this year in anticipation of the merger going through.

Truth Social launched in February 2022 , one year after Trump was banned from major social platforms including Facebook and X, formerly Twitter, following the Jan. 6 insurrection at the U.S. Capitol. He’s since been reinstated to both but has stuck with Truth Social.

On Truth Social Tuesday, users were posting about being shareholders or seeking tips on how to buy shares.

One user urged conservatives to “get behind the DJT stock and sent it over $100 per share” to “drive the liberals insane!” Another declared: “Get yourself a piece of #DJT stock if your a true MAGA supporter.”

A day earlier, Trump Media CEO Devin Nunes, a former House Republican, said, “As a public company, we will passionately pursue our vision to build a movement to reclaim the Internet from Big Tech censors.”

Despite the enthusiasm, investors could experience a bumpy ride. For one, they’re betting on a company with uncertain prospects of turning a profit. Trump Media lost $49 million in the first nine months of last year, when it brought in just $3.4 million in revenue and had to pay $37.7 million in interest expenses.

In a recent regulatory filing, the company cited the high rate of failure for new social media platforms, as well as its expectation that its operations will lose “for the foreseeable future” as risks for investors.

Research firm Similarweb estimates that Truth Social had roughly 5 million active mobile and web users in February. That’s far below TikTok’s more than 2 billion and Facebook’s 3 billion — but still higher than other “alt-tech” rivals like Parler.

However, Trump Media has said it doesn’t keep track of some numbers that rivals use as key measures of their performance, such as average revenue per user or active user accounts. It says it wants to focus on the long-term instead of “short-term decision-making.”

For that long term, though, skeptics see struggles ahead for a company that’s estimated to have far fewer users than rivals in a business where gaining a critical mass is key.

“I think there is a possibility of, sooner or later, the stock price falling by 95%,” said Jay Ritter, a professor and expert on initial public offerings of stock at the University of Florida’s Warrington College of Business.

Brian Dunn, director of the Institute for Compensation Studies at Cornell University, compared the fervor for Trump Media shares to the meme stock craze that boosted shares of companies such as GameStop and AMC Entertainment to exorbitant heights in 2021.

“Like any meme stock or fad, as long as there’s a greater fool to buy you out for what you paid for it, than you can continue to prosper,” Dunn said, warning that small investors “could end up holding the bag when the music stops.”

On Monday, Trump told reporters that “Truth Social is doing very well. It’s hot as a pistol and doing great.” On Tuesday, he posted “I LOVE TRUTH SOCIAL, I LOVE THE TRUTH!,” on the platform.

The company, which is based in Florida, said in a recent regulatory filing that it “is highly dependent on the popularity and presence of President Trump.” Trump Media has acknowledged that there are risks associated with Trump’s outsized influence.

If the former president were to limit or discontinue his relationship with the company for any reason, including due to his campaign to regain the presidency, the company “would be significantly disadvantaged,” it said in a filing ahead of the merger with Digital World.

Acknowledging Trump’s involvement in numerous legal proceedings , the company noted that “an adverse outcome in one or more” of the cases could negatively affect Trump Media and Truth Social.

Another risk, the company said, was that as a controlling stockholder, Trump would be entitled to vote his shares in his own interest, which may not always be in the interests of all the shareholders generally.