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202. Data-and AI-driven Economic Growth in a General Equilibrium Model
- Author:
- Kyu yub Lee and Hyun Park
- Publication Date:
- 02-2020
- Content Type:
- Policy Brief
- Institution:
- Korea Institute for International Economic Policy (KIEP)
- Abstract:
- We attempt to characterize a data- and AI-driven economy and establish a general equilibrium growth model in order to describe the data economy and examine how data and AI can affect the economy in the long run. To sum up, this article provides three policy implications. First, the authority should have a balanced view between privacy protection and data usage in economy-wide technology in terms of long-run growth. Privacy should not be considered only as utility loss, but must be considered as a contributor to loss in growth rates. Second, economic growth can be achieved by using higher amounts of data as well as continuous development in AI technology. A caveat is that AI-technology can boost economic growth only when it applies to all industries as general purpose technology. Lastly, the authorities should keep considering how to deal with new issues that include data ownership, outlaw data sharing, data market, AI bias, and so forth. Our model can be used as a starting point to such examinations.
- Topic:
- Science and Technology, Privacy, Economic Growth, Economic Policy, and Artificial Intelligence
- Political Geography:
- Asia and South Korea
203. Artificial Intelligence in International Development: Avoiding Ethical Pitfalls
- Author:
- Lindsey Andersen
- Publication Date:
- 05-2020
- Content Type:
- Journal Article
- Journal:
- Journal of Public and International Affairs (JPIA)
- Institution:
- School of Public and International Affairs (SPIA), Princeton University
- Abstract:
- Artificial intelligence (AI) will soon be at the center of the international development field. Amidst this transformation, there is insufficient consideration from the international development sector and the growing AI and ethics field of the unique ethical issues AI initiatives face in the development context. This paper argues that the multiple stakeholder layers in international development projects, as well as the role of third-party AI vendors, results in particular ethical concerns related to fairness and inclusion, transparency, explainability and accountability, data limitations, and privacy and security. It concludes with a series of principles that build on the information communication technology for development (ICT4D) community’s Principles for Digital Development to guide international development funders and implementers in the responsible, ethical implementation of AI initiatives.
- Topic:
- Science and Technology, Ethics, International Development, and Artificial Intelligence
- Political Geography:
- Global Focus
204. Competing in Artificial Intelligence Chips: China’s Challenge amid Technology War
- Author:
- Dieter Ernst
- Publication Date:
- 03-2020
- Content Type:
- Working Paper
- Institution:
- Centre for International Governance Innovation (CIGI)
- Abstract:
- This special report assesses the challenges that China is facing in developing its artificial intelligence (AI) industry due to unprecedented US technology export restrictions. A central proposition is that China’s achievements in AI lack a robust foundation in leading-edge AI chips, and thus the country is vulnerable to externally imposed supply disruptions. The COVID-19 pandemic has further decoupled China from international trade and technology flows. Success in AI requires mastery of data, algorithms and computing power, which, in turn, is determined by the performance of AI chips. Increasing computing power that is cost-effective and energy-saving is the indispensable third component of this magic AI triangle. Research on China’s AI strategy has emphasized China’s huge data sets as a primary advantage. It was assumed that China could always purchase the necessary AI chips from global semiconductor industry leaders. Until recently, AI applications run by leading-edge major Chinese technology firms were powered by foreign chips, mostly designed by a small group of top US semiconductor firms. The outbreak of the technology war, however, is disrupting China’s access to advanced AI chips from the United States. Drawing on field research conducted in 2019, this report contributes to the literature by addressing China’s arguably most immediate and difficult AI challenges. The report highlights China’s challenge of competing in AI, and contrasts America’s and China’s different AI development trajectories. Capabilities and challenges are assessed, both for the large players (Huawei, Alibaba and Baidu) and for a small group of AI chip “unicorns.” The report concludes with implications for China’s future AI chip development.
- Topic:
- Energy Policy, Science and Technology, Sanctions, and Artificial Intelligence
- Political Geography:
- United States, China, Asia, and North America
205. National Security Update 12: Status of 2020 Defense Authorization/Appropriations and NDAA Highlights
- Author:
- Jack Kelly
- Publication Date:
- 01-2020
- Content Type:
- Special Report
- Institution:
- Institute for Foreign Policy Analysis (IFPA)
- Abstract:
- Our twelfth IFPA National Security Update examines the current status of the U.S. defense authorization, appropriations, and budget process with a focus on the Fiscal Year (FY) 2020 National Defense Authorization Act (NDAA) and assesses its strengths and weaknesses in light of key programs and policies discussed in previous Updates. Topics addressed in our National Security Update series include hypersonic missiles, missile defense priorities, nuclear modernization issues, President Trump's Executive Order on Electromagnetic Pulse, the status of the Space Force, China’s actions in the South China Sea and U.S. options, and the military applications of artificial intelligence. 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:
- Foreign Policy, Defense Policy, Government, National Security, Budget, Weapons, Missile Defense, and Artificial Intelligence
- Political Geography:
- China, North America, South China, and United States of America
206. Digital Divide? Transatlantic defence cooperation on Artificial Intelligence
- Author:
- Simona R. Soare
- Publication Date:
- 03-2020
- Content Type:
- Policy Brief
- Institution:
- European Union Institute for Security Studies
- Abstract:
- Emerging technologies, including Artificial Intelligence (AI), quantum computing, big data, 5G and biotechnology are paving the way towards defence modernisation in a growing number of states, particularly in the US, Russia and China. While AI technologies and their impact have been on the radar of European governments, there has been little scrutiny in Europe of how the evolving US approach to AI affects European defence and the broader transatlantic partnership. At the heart of the US defence modernisation programme is the Artificial Intelligence Strategy unveiled by the Department of Defense (DOD) in 2019. What implications does this have for Europe and for transatlantic cooperation? In examining this question this Brief finds that cooperation with the US on the digital modernisation of defence remains a strategic necessity for Europe, but a mix of new and pre-existing dynamics in the relationship risks the emergence of a transatlantic digital divide. The Brief is structured in three parts. The first part explores the key tenets of the DOD AI Strategy. The second part examines challenges to the adoption of AI technologies in the US, many of which are shared by European partners. The third part of the Brief explores the implications of the DOD AI Strategy for European security.
- Topic:
- Defense Policy, International Cooperation, Partnerships, Artificial Intelligence, and Transatlantic Relations
- Political Geography:
- Russia, China, Europe, and United States of America
207. Naturaleza de los conflictos e inteligencia artificial: ¿ruptura de una continuidad? (Nature of Conflicts and Artificial Intelligence: A Continuity Break?)
- Author:
- Jules Palayer
- Publication Date:
- 12-2020
- Content Type:
- Working Paper
- Institution:
- International Security Studies Group (GESI) at the University of Granada
- Abstract:
- Los ejércitos son permeables a cambios que ocurren en las sociedades en las que se insertan, de este modo, todo lo revolucionario que pueda ser la inteligencia artificial (IA) para las sociedades podrá serlo para los militares. Debido a la profundidad de los cambios en ciernes, cabe preguntarse, ¿de qué manera cambiará la naturaleza de los conflictos futuros? El objetivo del presente documento es responder a esta incógnita enmarcando los efectos de la IA en uno de sus tres posibles impactos en la naturaleza del conflicto: el impacto mínimo, el evolucionario y el revolucionario. Para determinar cuál de ellos se ajusta más a la realidad examinaremos la introducción de la IA en el mundo militar como una revolución en los asuntos militares (RMA) cuyo telón de fondo es la revolución socio militar (RSM) post-moderna. Veremos cuestiones tecnológicas, doctrinales y organizativas entorno a la IA para arrojar luz sobre su impacto en la naturaleza del conflicto futuro.
- Topic:
- Science and Technology, Military Affairs, Conflict, and Artificial Intelligence
- Political Geography:
- Global Focus
208. Technology and the Future of Work
- Author:
- Ian Goldin
- Publication Date:
- 12-2020
- Content Type:
- Working Paper
- Institution:
- Center on International Cooperation (CIC)
- Abstract:
- Recent decades have seen rapid increases in the use of robots and rapid advances in artificial intelligence, driven particularly by improvements in machine learning. From games like chess and Go to speech recognition and image recognition, machines have come to outperform humans in an expanding range of activities. This development has motivated many attempts to gauge the impact on the future of work for humans. Frey and Osborne estimate that 47% of total US employment is in jobs at high risk of automation within the next decade or two. Arntz, Gregory, and Zierahn in turn estimate the figure is 9% in the USA and 10% in UK, while PwC estimate 38% in the USA, 35% in Germany, 30% in the UK, and 21% in Japan are at risk. This policy paper reviews the relationships between automation, artifical intelligence, and jobs, a retrospective look at technological upheavel throughout history, and what the future of work looks like by country and sector. Additionally, the paper considers the transformation, redistribution, and recognition of what work looks like globally as a byproduct of new technologies, as well as the implications of the COVID-19 pandemic on the future of work. Case studies from India and the Philippines provides prominent success stories of developing countries creating tradeable services industries, while two examples from Nordic countries and Estonia highlight novel policies in developed countries to ensure the benefits of new technologies are widely shared. Finally, Goldin provides recommendations for governments, international agencies, and other partners to to support employment and inclusive growth in the face of technological change.
- Topic:
- Science and Technology, International Security, Transnational Actors, Artificial Intelligence, and Workforce
- Political Geography:
- Europe, South Asia, India, East Asia, and United States of America
209. Artificial Intelligence, Technological Warfare and Changes in the World Order: China, USA and Brazil
- Author:
- Tatiana Rosito, Gabriel de Barros Torres, Ronaldo Lemos, and Yan Li
- Publication Date:
- 09-2020
- Content Type:
- Special Report
- Institution:
- Brazilian Center for International Relations (CEBRI)
- Abstract:
- China is consolidating its leadership position in the development and implementation of global artificial intelligence (AI) and Brazil needs to establish structures that promote domestic science and innovation - including the adoption of 5G - in order to advance from being a great consumer of technology to being a “producer of innovation”. The document points out that the development of AI requires national efforts on different fronts - from data governance to training of human capital, which translates into greater difficulties for emerging countries such as Brazil.
- Topic:
- Science and Technology, Innovation, and Artificial Intelligence
- Political Geography:
- China, Asia, Brazil, South America, North America, and United States of America
210. New Contours of Management: Artificial Intelligence, Interconnected World and Industry 4.0
- Author:
- Jagdish N. Sheth
- Publication Date:
- 11-2020
- Content Type:
- Working Paper
- Institution:
- India International Centre (IIC)
- Abstract:
- One of the key drivers of change is technology, which is the focus of today’s talk. If the companies are not able to transition from analogue to digital technology, you see disruptions, such as Amazon in retailing. Or, you see disruptions from rising companies like Uber that are transforming the ride-sharing industry completely from outside in. So, in my presentation, I will articulate how technology has consequences on society, and definitely consequences on management.
- Topic:
- Science and Technology, Artificial Intelligence, Industry, Management, and Fourth Industrial Revolution
- Political Geography:
- India and Global Focus