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211. The Outsider: Russia in the Race for Artificial Intelligence

Author:
Julien Nocetti
Publication Date:
12-2020
Content Type:
Special Report
Institution:
Institut français des relations internationales (IFRI)
Abstract:
When analyzing the global state of play around artificial intelligence (AI), Russia so far looks like an “outsider” compared to the two technological leaders, the United States and China. Yet, like the European Union, Russia exhibits two apparently contradictory but fundamental trends: it is trying to reap the benefits of technological interdependence—digital, scientific, financial etc.—while also protecting its internal market and thereby achieving the “technological sovereignty” it so ardently desires. Russia’s state-led approach is compounded by the same problems that afflict Russia in the conventional digital sector: lack of investment, weak integration into international scientific and normative networks, political pressure on private companies, dependence on global technological value chains and brain drain. Might these factors lead us to underestimate Moscow’s potential in AI? This paper argues that although these weaknesses are significant, continue to hold Russia back and threaten to amplify pre-existing asymmetries of power with the United States and China, Moscow intends to preserve niches of expertise that it can deploy in foreign policy and domestic governance. The Russian authorities have also handed big parts of AI development to the armed forces and the defense industry, as part of modernization plans and for asymmetric use.
Topic:
Science and Technology, European Union, Artificial Intelligence, and Strategic Competition
Political Geography:
Russia and Eurasia

212. Can ASEAN Expand Vocational Training to Help Workers Survive Automation and AI?

Author:
William 'Whit' Lloyd
Publication Date:
12-2020
Content Type:
Commentary and Analysis
Institution:
East-West Center
Abstract:
The countries of the Association of Southeast Asian Nations (ASEAN) have cumulatively vaulted from the world’s seventh-largest economy to the fifth, in 2019, in only three years. But several challenges threaten future economic growth. Chief among them is demographic change: populations across ASEAN are aging and birthrates are declining. One outcome will be labor shortages. The shrinking labor pool could serve as a strong driver for automation. But while automation may reduce input costs and boost growth, it could change the skills employers desire, resulting in the obsolescence of many low-skilled jobs, leaving current workers without the skills necessary to obtain work. Upskilling labor through vocational education and related programs is the obvious response. But ASEAN education systems have never included significant vocational opportunities. With technological change accelerating, ASEAN states will need help with the herculean task of rapidly remodeling their education systems.
Topic:
Labor Issues, Employment, Vocational Training, Artificial Intelligence, Automation, and ASEAN
Political Geography:
Asia and Southeast Asia

213. Modern Conflict and Artificial Intelligence

Author:
Aaron Shull, Daniel Araya, Samantha Bradshaw, Amandeep Singh Gill, Michael Horowitz, Meg King, Robert Mazzolin, Maya Medeiros, Rodrigo Nieto-Gomez, and Liis Vihul
Publication Date:
11-2020
Content Type:
Working Paper
Institution:
Centre for International Governance Innovation (CIGI)
Abstract:
Autonomous systems are revolutionizing our lives, but they present clear international security concerns. Despite the risks, emerging technologies are increasingly applied as tools for cybersecurity and, in some cases, cyberwarfare. In this essay series, first published online, experts explore digital threats to democracy and security, and the geopolitical tensions they create.
Topic:
Cybersecurity, Conflict, Artificial Intelligence, and Emerging Technology
Political Geography:
Global Focus

214. Deepfakes and Synthetic Media in the Financial System: Assessing Threat Scenarios

Author:
Jon Bateman
Publication Date:
07-2020
Content Type:
Working Paper
Institution:
Carnegie Endowment for International Peace
Abstract:
Bad actors could use deepfakes—synthetic video or audio—to commit a range of financial crimes. Here are ten feasible scenarios and what the financial sector should do to protect itself. Rapid advances in artificial intelligence (AI) are enabling novel forms of deception. AI algorithms can produce realistic “deepfake” videos, as well as authentic-looking fake photos and writing. Collectively called synthetic media, these tools have triggered widespread concern about their potential in spreading political disinformation. Yet the same technology can also facilitate financial harm. Recent months have seen the first publicly documented cases of deepfakes used for fraud and extortion. Today the financial threat from synthetic media is low, so the key policy question is how much this threat will grow over time. Leading industry experts diverge widely in their assessments. Some believe firms and regulators should act now to head off serious risks. Others believe the threat will likely remain minor and the financial system should focus on more pressing technology challenges. A lack of data has stymied the discussion.
Topic:
Security, Cybersecurity, Artificial Intelligence, and Non-Traditional Threats
Political Geography:
Global Focus

215. Competitive Strategies for Democracy in the Age of AI

Author:
Andrew Imbrie
Publication Date:
06-2020
Content Type:
Policy Brief
Institution:
German Marshall Fund of the United States (GMFUS)
Abstract:
In a 1972 paper for the United States Air Force Project at RAND, the late Andrew Marshall defined what he called a more “efficient, effective U.S. competitive role.”1 His theory of the case was straightforward: The United States needed to sustain a long-term, strategic competition with the Soviet Union; the nature of that competition was poorly specified, but could be shaped in ways favorable to enduring U.S. advantages; and the United States should therefore assess the balance of strategic forces, clarify its goals, and develop competitive strategies to match its strengths against Soviet weaknesses. The competition between the United States and China today is different from and far more complex than the U.S.-Soviet competition during the Cold War, notably in the levels of economic interdependence and the role of emerging technologies such as artificial intelligence. China, Russia, and other authoritarian powers seek to achieve strategic advantage through AI-enabled capabilities and systems.2 By one estimate, more than 100 countries purchase surveillance and censorship gear from China and Russia, receive training on these technologies, or simply imitate methods of surveillance and censorship that are designed to control public opinion.3 As the digital and physical environments become intertwined, authoritarian practices in one domain will increasingly encroach upon the other. At stake are the core values of liberty, equality, and justice that underpin free and open societies. The novel coronavirus pandemic will accelerate these trends. Increased U.S.-China tensions, cascading economic crises, and renewed debates over the resilience of supply chains and the future of digital surveillance are all characteristics of a world that demands global cooperation but sorely lacks it. The fault lines between liberal democracies and illiberal, authoritarian regimes are widening at a time of growing turbulence in the international system. Even before the virus, U.S.-China relations faced a heightened risk of conflict. The years ahead are likely to bring greater turmoil, with AI and other emerging technologies at the center of an extended, continuing strategic competition among the major powers. In the long-term contest between the forces of democracy and autocracy, the United States should apply Marshall’s counsel and develop more competitive strategies that play to its strengths. The right U.S. approach starts with its broad network of allies and partners. America has formed security guarantees with 52 countries in Europe, Asia, and Latin America, compared with Russia’s five (Armenia, Belarus, Kazakhstan, Kyrgyzstan, and Tajikistan) and China’s one (North Korea).4 The United States benefits from allies that share its values and produce strategic resources in AI, including computer and data science experts; private sectors that are innovative, dominant, and trend-setting; large and diverse pools data on which to train algorithms; governmental research and development (R&D) investments; diplomatic support for initiatives in AI safety and governance; and the clout needed to export norms and best practices internationally. In a world of globalized markets for AI talent and integrated supply chains, an alliance-centric strategy provides a competitive advantage over any single country that attempts to develop a robust AI ecosystem on its own. A competitive strategy in AI will require the United States and its allies to assess their comparative advantages; identify anomalies and patterns in the strategic choices of authoritarian competitors that are deeply rooted; and match relative strengths against specific areas of weakness.5 This paper focuses on the dynamics between the United States and China in AI. Based on an initial assessment of recent advances and long-term potential, it recommends that democratic nations sharpen their edge in five key areas: Hardware edge: exploit hardware chokepoints, leveraging the advantages that democratic nations have in the production of semiconductor manufacturing equipment and advanced AI chips. Data edge: develop common standards to share, pool, and store non-sensitive data sets around discrete projects, such as health intelligence and biosecurity, predictive maintenance, and maritime domain awareness; invest in privacy-preserving machine learning; and support research into new techniques for making personal data less relevant to AI systems, such as one-shot learning and advanced simulations. Talent edge: develop inter-allied human capital in AI, share best practices, and cultivate democratic networks of AI researchers through exchange programs, joint scholarships, and conference support, while ensuring research security among allies and partners. Innovation edge: harness the estimated two-thirds of global R&D that is conducted by democratic nations to foster collaboration in specific areas of promise, such as human-machine teaming methods and verification techniques for complex controls systems and AI-enabled, safety-critical infrastructure. Rule-setting edge: shape global norms and standards for AI, reflecting and supporting human rights and liberal values; create the conditions for a common AI market among democratic nations; and extend the benefits of AI to fragile democracies by establishing a multilateral digital infrastructure network.
Topic:
Science and Technology, Democracy, Artificial Intelligence, and Strategic Competition
Political Geography:
China and United States of America