Economics of AI Lead, Centre for the Governance of AI
Email: anton [at] korinek [dot] com
Anton is a Professor at the University of Virginia, Department of Economics and Darden School of Business as well as a Nonresident Fellow at the Brookings Institution, a Research Associate at the NBER, a Research Fellow at the CEPR and the Economics of AI Lead at the Centre for the Governance of AI. He received his PhD from Columbia University in 2007 after several years of work experience in the IT and financial sectors. He has also worked at Johns Hopkins and at the University of Maryland and has been a visiting scholar at Harvard University, the World Bank, the IMF, the BIS and numerous central banks.
His research analyzes how to prepare for a world of transformative AI systems. He investigates the implications of advanced AI for economic growth, labor markets, inequality, and the future of our society. In his past research, he investigated the mechanics of financial crises and developed policy measures to prevent future crises, including an influential framework for capital flow regulation in emerging economies.
Apr 2023 Presentation at the IMF/WB Spring Meetings on Generative AI: Four Messages to Economic Policymakers
Sep 2022 Organized Brookings/GovAI Conference on the Governance of Transformative AI
Apr 2022 Online Launch of the Oxford Handbook of AI Governance
Dec 2021 Launched Coursera Online Course on the Economics of AI
Sept 2021 Awarded David M. Rubenstein Fellowship by the Brookings Institution
June 2021 Promoted to Full Professor, University of Virginia
Latest Research Lays out 26 use cases for large language models in economics and discusses the implications for the future of economic research Analyzes how AI could erode democracy by amplifying inequality and offers solutions
Frontier AI Regulation: Managing Emerging Risks to Public Safety [PDF], July 2023Proposes a tangible framework for how to regulate the emerging safety risks from the most advanced "frontier" AI systemsIf transformative AI makes human labor redundant, what are the economic and social implications, and how can we prepare for it? Develops a framework for AI developers to take into account the impact of their inventions on workers Labor-saving advances in AI may undo the gains from globalization and pose new challenges for economic development Analyzes how to steer technological progress in directions that complement labor rather than displacing it - cited by The Economist's Free Exchange
Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence [Publication | WP], in Markus Dubber, Frank Pasquale and Sunit Das (eds.), Oxford Handbook of Ethics of Artificial Intelligence, Oxford University Press, July 2020Complementing market incentives with ethical values is crucial to steer progress in AI in a direction that is beneficial for humanity at large