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21. The Global Expansion of AI Surveillance

Author:
Steven Feldstein
Publication Date:
09-2019
Content Type:
Working Paper
Institution:
Carnegie Endowment for International Peace
Abstract:
Artificial intelligence (AI) technology is rapidly proliferating around the world. Startling developments keep emerging, from the onset of deepfake videos that blur the line between truth and falsehood, to advanced algorithms that can beat the best players in the world in multiplayer poker. Businesses harness AI capabilities to improve analytic processing; city officials tap AI to monitor traffic congestion and oversee smart energy metering. Yet a growing number of states are deploying advanced AI surveillance tools to monitor, track, and surveil citizens to accomplish a range of policy objectives—some lawful, others that violate human rights, and many of which fall into a murky middle ground. In order to appropriately address the effects of this technology, it is important to first understand where these tools are being deployed and how they are being used. Unfortunately, such information is scarce. To provide greater clarity, this paper presents an AI Global Surveillance (AIGS) Index—representing one of the first research efforts of its kind. The index compiles empirical data on AI surveillance use for 176 countries around the world. It does not distinguish between legitimate and unlawful uses of AI surveillance. Rather, the purpose of the research is to show how new surveillance capabilities are transforming the ability of governments to monitor and track individuals or systems. It specifically asks: Which countries are adopting AI surveillance technology? What specific types of AI surveillance are governments deploying? Which countries and companies are supplying this technology?
Topic:
Science and Technology, Privacy, Surveillance, and Artificial Intelligence
Political Geography:
China, Asia, and Global Focus

22. Opening Internet Monopolies to Competition with Data Sharing Mandates

Author:
Claudia Biancotti and Paolo Ciocca
Publication Date:
04-2019
Content Type:
Policy Brief
Institution:
Peterson Institute for International Economics
Abstract:
Over the past few years, it has become apparent that a small number of technology companies have assembled detailed datasets on the characteristics, preferences, and behavior of billions of individuals. This concentration of data is at the root of a worrying power imbalance between dominant internet firms and the rest of society, reflecting negatively on collective security, consumer rights, and competition. Introducing data sharing mandates, or requirements for market leaders to share user data with other firms and academia, would have a positive effect on competition. As data are a key input for artificial intelligence (AI), more widely available information would help spread the benefits of AI through the economy. On the other hand, data sharing could worsen existing risks to consumer privacy and collective security. Policymakers intending to implement a data sharing mandate should carefully evaluate this tradeoff.
Topic:
Security, Government, Science and Technology, Privacy, Internet, Monopoly, and Artificial Intelligence
Political Geography:
Global Focus

23. Labor in the Age of Automation and Artificial Intelligence

Author:
Anton Korinek
Publication Date:
01-2019
Content Type:
Policy Brief
Institution:
Economics for Inclusive Prosperity (EfIP)
Abstract:
As technology advanced in recent decades, it increasingly left workers behind and led to sharp increases in inequality. The current wave of progress in artificial intelligence is likely to accelerate these trends. This note lays out three complementary approaches to countering these developments. Firstly, since technological progress generates net gains for society as a whole, the winners could in principle compensate the losers and still be better off. Secondly, progress should be steered to minimize the losses of workers. Thirdly, there is an important role for government intervention in information technology to thwart the rise of monopolies that extract rents from society. The note concludes with some speculations on the impact of artificial intelligence increasingly rivaling human labor.
Topic:
Economics, Science and Technology, Labor Issues, Economic Policy, Macroeconomics, and Artificial Intelligence
Political Geography:
United States

24. No Data in the Void: Values and Distributional Conflicts in Empirical Policy Research and Artificial Intelligence

Author:
Maximilian Kasy
Publication Date:
08-2019
Content Type:
Working Paper
Institution:
Economics for Inclusive Prosperity (EfIP)
Abstract:
Decision making based on data - whether by policymakers drawing on empirical research, or by algorithms using machine learning - is becoming ever more widespread. Any time such decisions are made, we need to carefully think about the goals we want to achieve, and the policies we might possibly use to achieve them. Data cannot absolve us of this responsibility. They do not allow us to avoid value judgements, and do not relieve us from taking sides in distributional conflicts. This essay introduces a general framework to clarify this point, and then discusses a series of settings in which the choice of objectives (goals) has far-reaching and maybe unexpected implications.
Topic:
Economics, Science and Technology, Labor Policies, Economic Policy, and Artificial Intelligence
Political Geography:
United States

25. The Rise of Russia’s Hi-Tech Military

Author:
Samuel Bendett
Publication Date:
07-2019
Content Type:
Journal Article
Journal:
Fletcher Security Review
Institution:
The Fletcher School, Tufts University
Abstract:
Following the end of the Cold War, the Russian Federation lagged behind the United States in terms of advanced technology in warfighting. However, after substantial spending on modernization starting in 2008, the Russian military and the nation’s defense sector have been making great strides at developing remotely operated and autonomous technologies and integrating them in their tactics and combat operations. Russia is also starting to invest in Artificial Intelligence (AI) development with specific military applications. These developments affect the ability of the United States to meet the goals in its new National Security Strategy; in order to meet its stated December 2017 objective of renewing American competitive advantage in key military areas, the United States should be aware of key adversarial developments such as Russia’s emerging unmanned, autonomous, and AI capabilities, and prepare itself in terms of appropriate capabilities, tactics, and plans...
Topic:
Security, Science and Technology, Military Affairs, Military Spending, and Artificial Intelligence
Political Geography:
Russia, Eurasia, and United States of America

26. IFPA National Security Update 10: The Military Applications and Use of Artificial Intelligence

Author:
Jack Kelly
Publication Date:
09-2019
Content Type:
Special Report
Institution:
Institute for Foreign Policy Analysis (IFPA)
Abstract:
This IFPA National Security Update examines artificial intelligence (AI),with a focus on its status, military applications, benefits, and shortcomings; competition with China and Russia to develop AI technologies; the Trump Administration’s AI Executive Order; and the need for the United States government to develop strategies and acquisition approaches to harness/leverage more effectively the AI innovations and applications being developed primarily in the U.S. commercial sector. In early 2017, the Institute for Foreign Policy Analysis initiated an online series entitled National Security Update. Its purpose is to examine key foreign policy/defense issues and to set forth policy options. These updates are made available to the broad policy community within and outside government, including key policy makers in Washington, D.C.; members of Congress and their staffs; academic specialists; and other members of the private-sector security community. Future National Security Updates will address a range of topics in an effort to provide timely analyses and policy options.
Topic:
Defense Policy, National Security, Science and Technology, Military Strategy, Artificial Intelligence, and Private Sector
Political Geography:
Russia, China, Asia, North America, and United States of America

27. Preparing for “NATO-mation”: the Atlantic Alliance toward the age of artificial intelligence

Author:
Andrea Gilli
Publication Date:
02-2019
Content Type:
Working Paper
Institution:
NATO Defense College
Abstract:
The unprecedented pace of technological change brought about by the fourth Industrial Revolution offers enormous opportunities but also entails some risks. This is evident when looking at discussions about artificial intelligence (AI), machine learning (ML) and big data (BD). Many analysts, scholars and policy- makers are in fact worried that, beside efficiency and new economic opportunities, these technologies may also promote international instability: for instance, by leading to a swift redistribution of wealth around the world; a rapid diffusion of military capabilities or by heightening the risks of military escalation and conflict. Such concerns are understandable. Throughout history, technological change has at times exerted similar effects. Additionally, human beings seem to have an innate fear that autonomous machines might, at some point, revolt and threaten humanity – as illustrated in popular culture, from Hebrew tradition’s Golem to Mary Shelley’s Frankenstein, from Karel Čapek’s Robot to Isaac Asimov’s I, Robot and the movie Terminator. This NDC Policy Brief contributes to the existing debate by assessing the logic behind some of these concerns and by looking at the historical record. While some worries are warranted, this brief provides a much more reassuring view. The implications are straightforward: NATO, its member states and partners should not be afraid of ongoing technological change, but embrace the opportunities offered by new technologies and address the related challenges. In other words, the Atlantic Alliance should start a new transformation process directed toward the age of intelligent machines: it should start with what I call “NATO-mation”. The goal is not only preserving and enhancing NATO’s military superiority and thus better contribute to global security in the decades ahead but also ensuring that its values, ethical stances as well as moral commitments will remain central in a rapidly- changing security environment.
Topic:
NATO, Regional Cooperation, Science and Technology, Military Strategy, and Artificial Intelligence
Political Geography:
Europe, North Atlantic, and North America

28. The Brain and the Processor: Unpacking the Challenges of Human-Machine Interaction

Author:
Andrea Gilli
Publication Date:
12-2019
Content Type:
Working Paper
Institution:
NATO Defense College
Abstract:
This volume touches upon this and a set of related messages that ultimately put human beings at the very center of this transformation toward intelligent machines: one of the paradoxes of the second machine age – as Erik Brynjolfsson and Andrew McAfee call it – is in fact that the more tasks computers take over, the more important becomes the role of people.4 Technology replaces tasks, not human beings, and human beings at each round of automation specialize in the tasks with higher added value.5 In other words, technological changes tend to complement human activities, enabling people to specialise in those areas where they have a comparative advantage. However, the transition is not bereft of problems: new skills and new organizational structures are needed to exploit the potentials of new technologies. The emergence of artificial intelligence, machine learning and big data – that in this volume will be interchangeably used alongside terms such as intelligent machines – can potentially represent a major turning point in human history. For the moment, we are dealing – and we will likely continue to do so – with weak or limited AI, namely single- purpose systems, i.e. machines that may reach an outstanding performance in one realm but cannot even fulfill the most basic task in a related field.6 Strong, or general, artificial intelligence – also referred as singularity – will occur when machines will, like human beings, be able to conduct a plurality of multidimensional activities, from driving a car to empatizing with peers, from playing video games to conducting different work activities.7 The contributions in this volume attempt to map the underlying causes, direct implications and broader consequences of the transformation at hand. Their main collective value is that they adopt different, but complementary approaches that ultimately corroborate the underlying theme of the entire volume, namely that as machines become more capable and easily available, the more important become human beings. The world of defense and security often looks with both amazement and concern at other fields. It rarely, however, truly engages with them, also intellectually. Building on a conference jointly organised in December 2018 between the NATO Defense College Research Division and the Paris-based Institut de Recherche Stratégique de l’Ecole Militaire, this volume has tried to address this shortfall by bringing together defense scholars and security practioners, economists and psychologists, historians and lawyers as well as business consultants and roboticists with the goal of looking from different angles at the domain of AI and reason, together, on its possible meanings and consequences.
Topic:
NATO, Regional Cooperation, Science and Technology, and Artificial Intelligence
Political Geography:
Europe, North Atlantic, and North America

29. Mapping more of China's tech giants: AI and surveillance

Author:
Danielle Cave, Fergus Ryan, and Vicky Xiuzhong Xu
Publication Date:
11-2019
Content Type:
Special Report
Institution:
Australian Strategic Policy Institute
Abstract:
ASPI’s International Cyber Policy Centre has updated the public database that maps the global expansion of key Chinese technology companies. This update adds a further 11 companies and organisations: iFlytek, Megvii, ByteDance (which owns TikTok), SenseTime, YITU, CloudWalk, DJI, Meiya Pico, Dahua, Uniview and BeiDou. Our public database now maps 23 companies and organisations and is visualised through our interactive website, Mapping China’s Technology Giants. The website seeks to give policymakers, academics, journalists, government officials and other interested readers a more holistic picture of the increasingly global reach of China’s tech giants. The response to phase 1 of this project—it quickly became one of ASPI’s most read products—suggests that the current lack of transparency about some of these companies’ operations and governance arrangements has created a gap this database is helping to fill. This update adds companies working mainly in the artificial intelligence (AI) and surveillance tech sectors. SenseTime, for example, is one of the world’s most valuable AI start-ups. iFlytek is a partially state-owned speech recognition company. Meiya Pico is a digital forensics and security company that created media headlines in 2019 because of its monitoring mobile app MFSocket.1 In addition, we’ve added DJI, which specialises in drone technologies, and BeiDou, which isn’t a company but the Chinese Government’s satellite navigation system. We also added ByteDance—an internet technology company perhaps best known internationally for its video app, TikTok, which is popular with teenagers around the world. TikTok is also attracting public and media scrutiny in the US over national security implications, the use of US citizens’ data and allegations of censorship, including shadow banning (the down-ranking of particular topics via the app’s algorithm so users don’t see certain topics in their feed). Company overviews now include a summary of their activities in Xinjiang.2 For some companies, including ByteDance and Huawei, we are including evidence of their work in Xinjiang that has not being reported publicly before. For most of these companies, the surveillance technologies and techniques being rolled out abroad—often funded by loans from the Export–Import Bank of China (China Eximbank)3—have long been used on Chinese citizens, and especially on the Uyghur and other minority populations in Xinjiang, where an estimated 1.5 million people are being arbitrarily held in detention centres.4 Some of these companies have actively and repeatedly obscured their work in Xinjiang, including in hearings with foreign parliamentary committees. This project now includes evidence and analysis of those activities in order to foster greater transparency about their engagement in human rights abuses or ethically questionable activities in the same way Western firms are held to account by Western media and civil society actors, as they should be. In this report, we include a number of case studies in which we delve deeper into parts of the dataset. This includes case studies on TikTok as a vector for censorship and surveillance, BeiDou’s satellite and space race and CloudWalk’s various AI, biometric data and facial recognition partnerships with the Zimbabwean Government. We also include a case study on Meiya Pico’s work with China’s Public Security Ministry on Belt and Road Initiative (BRI) aid projects in Southeast Asia and Central Asia. Those projects include the construction of digital forensics labs and cyber capacity training, including for police forces across Asia. We have also investigated the role that foreign investment plays in the global expansion of some of these companies, particularly in China’s surveillance and public security sector.
Topic:
Foreign Policy, Cybersecurity, Surveillance, Artificial Intelligence, and Emerging Technology
Political Geography:
China and Asia-Pacific

30. Engineering global consent: The Chinese Communist Party's data-driven power expansion

Author:
Samantha Hoffman
Publication Date:
10-2019
Content Type:
Special Report
Institution:
Australian Strategic Policy Institute
Abstract:
The Chinese party-state engages in data collection on a massive scale as a means of generating information to enhance state security—and, crucially, the political security of the Chinese Communist Party (CCP)—across multiple domains. The party-state intends to shape, manage and control its global operating environment so that public sentiment is favourable to its own interests. The party’s interests are prioritised over simply the Chinese state’s interests or simply the Chinese people’s interests. The effort requires continuous expansion of the party’s power overseas because, according to its own articulation of its threat perceptions, external risks to its power are just as likely—if not more likely—to emerge from outside the People’s Republic of China’s (PRC) borders as from within. This report explains how the party-state’s tech-enhanced authoritarianism is expanding globally. The effort doesn’t always involve distinctly coercive and overtly invasive technology, such as surveillance cameras. In fact, it often relies on technologies that provide useful services. Those services are designed to bring efficiency to everyday governance and convenience to everyday life. The problem is that it’s not only the customer deploying these technologies—notably those associated with ‘smart cities’, such as ‘internet of things’ (IoT) devices—that derives benefit from their use. Whoever has the opportunity to access the data a product generates and collects can derive value from the data. How the data is processed, and then used, depends on the intent of the actor processing it.
Topic:
Authoritarianism, Cybersecurity, Artificial Intelligence, and Chinese Communist Party (CCP)
Political Geography:
China, Asia, and Australia/Pacific