Artificial Intelligence and the Future of Work (2025)

Chapter: Appendix C: Committee Member Biographical Information

Previous Chapter: Appendix B: Presentations to the Committee
Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.

C

Committee Member Biographical Information

ERIK BRYNJOLFSSON, Co-Chair, is the Jerry Yang and Akiko Yamazaki Professor and senior fellow at the Stanford Institute for Human-Centered Artificial Intelligence (AI), and the director of the Stanford Digital Economy Lab. Dr. Brynjolfsson is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research and holds appointments at the Stanford Graduate School of Business and the Stanford Department of Economics, and at the National Bureau of Economic Research (NBER) as a research associate. One of the most cited authors on the economics of information, Dr. Brynjolfsson was among the first researchers to measure productivity contributions of information technology (IT) and the complementary role of organizational capital and other intangibles. He has also done research on digital commerce, the Long Tail, bundling and pricing models, intangible assets, and the effects of IT on business strategy, productivity, and performance. In 2020, he was awarded an honorary doctorate from the University of Turku for his research on the effects of IT and AI on innovation, productivity, and future work. Dr. Brynjolfsson speaks globally and is the author of seven books, including, with co-author Andrew McAfee, best-seller The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies and Machine, Platform, Crowd: Harnessing Our Digital Future, as well as more than 100 academic articles and 5 patents. He holds bachelor’s and master’s degrees from Harvard University in applied mathematics and decision sciences and a PhD from the Massachusetts Institute of Technology (MIT) in managerial economics.

TOM M. MITCHELL, Co-Chair, is the E. Fredkin University Professor at Carnegie Mellon University (CMU), where he founded the world’s first Machine Learning (ML) Department. Dr. Mitchell’s research lies in ML, AI, and cognitive neuroscience. His current research

Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.

includes developing ML approaches to natural language understanding by computers, as well as brain imaging studies of natural language understanding by humans. Dr. Mitchell is a member of the National Academy of Engineering (NAE) and the American Association of Arts and Sciences and is the past president of the Association for the Advancement of Artificial Intelligence (AAAI). In 2015, he was awarded an honorary doctor of laws degree from Dalhousie University for his contributions to ML and cognitive neuroscience, and in 2017 he received the 10-Year Outstanding Research Contributions Award from the Brain Informatics Conference for his research studying language processing in the human brain. Dr. Mitchell received his PhD in electrical engineering and computer science from Stanford University.

DAVID H. AUTOR is the Ford Professor in the MIT Department of Economics, vice president of the American Economic Association, and the co-director of the NBER Labor Studies Program and the J-PAL Work of the Future experimental initiative. His scholarship explores the labor market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes. Dr. Autor has received numerous awards for both his scholarship—the National Science Foundation (NSF) CAREER Award, an Alfred P. Sloan Foundation Fellowship, the Sherwin Rosen Prize for outstanding contributions to the field of labor economics, the Andrew Carnegie Fellowship in 2019, and the Society for Progress Medal in 2021—and for his teaching, including the MIT MacVicar Faculty Fellowship. In 2020, Dr. Autor received the Heinz 25th Special Recognition Award from the Heinz Family Foundation for his work “transforming our understanding of how globalization and technological change are impacting jobs and earning prospects for American workers.” In a 2019 article, The Economist magazine labeled Dr. Autor as “the academic voice of the American worker.” Dr. Autor received his PhD in public policy from the John F. Kennedy School of Government at Harvard University.

JOHN C. HALTIWANGER is a distinguished university professor in the Department of Economics at the University of Maryland. Dr. Haltiwanger is also the first recipient of the Dudley and Louisa Dillard Professorship in 2013. After serving on the faculty of the University of California, Los Angeles, and Johns Hopkins University, he joined the faculty at the University of Maryland in 1987. In the late 1990s, he served as the chief economist of the U.S. Census Bureau. He is a research associate of NBER and a fellow of the Society of Labor Economics and the Econometric Society. Dr. Haltiwanger has played a major role in developing and studying U.S. longitudinal firm-level data. Using these data, he has developed new statistical measures and analyzed the determinants of firm-level job creation, job destruction, and economic performance. The statistical and

Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.

measurement methods he has helped develop to measure and study firm dynamics have been increasingly used by many statistical agencies around the world. His research has been recognized in his being awarded the Julius Shiskin Award for economic statistics in 2013, the Roger Herriott Award for innovation in federal statistics in 2014, the Global Entrepreneurship Research Award in 2020, and the Society of Labor Economics Award for Contributions to Data and Measurement in 2021. He has published more than 100 academic articles and numerous books, including Job Creation and Destruction (with Steven Davis and Scott Schuh, MIT Press). Dr. Haltiwanger received his PhD in economics from Johns Hopkins University in 1981.

ERIC HORVITZ is Microsoft’s chief scientific officer. Dr. Horvitz has pursued research on principles and applications of ML and inference, including projects on diagnosis, prediction, and decision making in health and bioscience, transportation, aerospace, and computing systems. His current research foci include methods for leveraging the complementarity of human and machine reasoning and for enhancing the robustness of AI systems in the open world. He is a member of the NAE. He received the AAAI/Association for Computing Machinery (ACM) Allen Newell Award, the Feigenbaum Prize, and the ACM International Conference on Multimodal Interaction Sustained Accomplishment Award for contributions to AI. He was elected to the CHI Academy for research on human–AI interaction. He serves on the President’s Council of Advisors on Science and Technology and the scientific advisory board of the Allen Institute for AI. Dr. Horvitz previously served on the Computer Science and Telecommunications Board of the National Academies of Sciences, Engineering, and Medicine. He has served as the president of AAAI, on the Board of Regents of the National Library of Medicine, on NSF’s Directorate for Computer and Information Science and Engineering Advisory Board, on the Defense Advanced Research Projects Agency’s Information Sciences and Technology advisory group, and on the National Security Commission on AI. He was a member of the National Academies’ Committee on Information Technology, Automation, and the U.S. Workforce, and was a co-author of the 2017 National Academies’ report authored by that committee. Dr. Horvitz received his PhD and MD in medical information science from Stanford University.

LAWRENCE F. KATZ is the Elisabeth Allison Professor of Economics at Harvard University, a research associate of NBER, and the co-scientific director of J-PAL North America. Dr. Katz’s research focuses on issues in labor economics and the economics of social problems. He is the author (with Claudia Goldin) of The Race Between Education and Technology (Harvard University Press, 2008), a history of U.S. economic inequality and the roles of technological change and the pace of educational advance in affecting the

Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.

wage structure. Dr. Katz has been the editor of the Quarterly Journal of Economics since 1991 and served as the chief economist of the U.S. Department of Labor in 1993 and 1994. He is the past president of the Society of Labor Economists and has been elected a fellow of the National Academy of Sciences, the American Academy of Arts and Sciences, the Econometric Society, and the Society of Labor Economists. He currently serves on the board of MDRC. Dr. Katz graduated from the University of California, Berkeley, in 1981 and earned his PhD in economics from MIT in 1985.

NELA RICHARDSON is the senior vice president and chief economist at ADP. In this capacity, Dr. Richardson is also the co-head of the ADP Research Institute and leads economic research for ADP. Previously, she was principal and investment strategist at Edward Jones, a financial services firm. In that role, she analyzed and interpreted economic trends and financial market conditions and recommended investment strategies. She is also the former chief economist at Redfin Corp, where she led a team of data scientists, economists, and writers to track trends in the housing market. Dr. Richardson regularly provides insight on the economy, real estate trends, and capital markets to policy makers, consumers, and media. She earned a doctorate in economics from the University of Maryland, College Park, with concentrations in financial economics, international finance, and economic development. She is also a graduate of the University of Pennsylvania and Indiana University, Bloomington. Dr. Richardson is a member of the Bureau of Economic Analysis Advisory Committee and the Conference of Business Economists, and sits on the Chamber of Commerce and National Association of Business Economists foundation boards. Dr. Richardson received her PhD in economics from the University of Maryland, College Park.

MICHAEL R. STRAIN is the director of economic policy studies and the Arthur F. Burns Scholar in Political Economy at the American Enterprise Institute. His research focuses on labor economics, public finance, and social policy. Dr. Strain is the author of The American Dream Is Not Dead, which studies longer-term economic outcomes for workers and households, and is the editor or co-editor of four volumes on economics and public policy. His research articles have been published in academic and policy journals. He is a research fellow with the Institute for the Study of Labor in Bonn, a research affiliate with the Institute for Research on Poverty at the University of Wisconsin–Madison, and a member of the Aspen Economic Strategy Group. He is an elected member of the National Academy of Social Insurance. He also writes frequently for popular audiences, and his essays and op-eds have been published by the New York Times, the Wall Street Journal, the Financial Times, and the Washington Post, among others. A frequent guest on radio and television, Dr. Strain is regularly interviewed by broadcast news networks. He

Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.

has testified before Congress and speaks often to a variety of audiences. He holds a PhD in economics from Cornell University.

LAURA D. TYSON is a distinguished professor of the Graduate School at the Haas School of Business, University of California, Berkeley. Dr. Tyson is the co-chair of California Governor Gavin Newsom’s Council of Economic Advisors. She serves on the board of directors of Lexmark International and Stem, Inc. In 2019, she was the Richard C. Holbrooke Fellow for the American Academy in Berlin. During her fellowship, she researched the effects of intelligent tools on employment, inequality, and livelihoods in Germany. Her research in this area is part of a broader interdisciplinary project that she co-founded at the University of California, Berkeley, on the effects of automation on labor markets in the advanced industrial countries. She has received support for her work in this area from the Kauffman Foundation and the Germany Federal Ministry of Labor and Social Affairs. Dr. Tyson has given numerous presentations and is the author of several academic papers, reports, and book chapters about the effects of automation in labor markets in the advanced industrial economies. She has served as a senior external advisor at the McKinsey Global Institute for many of its reports, including The Future of Work After COVID-19. From 2020 to 2021, she served on French President Emmanuel Macron’s Commission d’experts sur les grands défis économiques. Previously she was a member of the National Academies’ Board of Science, Technology, and Economic Policy and a member of its Innovation Policy Forum. Dr. Tyson has a summa cum laude undergraduate degree from Smith College and a PhD in economics from MIT.

MANUELA VELOSO is the head of J.P. Morgan Chase AI Research and the Herbert A. Simon University Professor Emerita at CMU, where she was previously on the faculty in the School of Computer Science and later the head of the Machine Learning Department. Dr. Veloso conducts research in AI, with a focus in robotics and recently in AI in finance. At CMU, she founded and directs the CORAL research laboratory for the study of autonomous agents that collaborate, observe, reason, act, and learn. Dr. Veloso and her students research a variety of autonomous robots, including mobile service robots and soccer robots. She is a past president AAAI and the co-founder and a past president of the RoboCup Federation. Dr. Veloso is a fellow of AAAI, the American Association for the Advancement of Science, ACM, and IEEE. She was elected in 2022 to the NAE “for her contributions to artificial intelligence and its applications to robotics and the financial services industry.” Dr. Veloso received her PhD in computer science from CMU.

Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.
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Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.
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Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.
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Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.
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Suggested Citation: "Appendix C: Committee Member Biographical Information." National Academies of Sciences, Engineering, and Medicine. 2025. Artificial Intelligence and the Future of Work. Washington, DC: The National Academies Press. doi: 10.17226/27644.
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