Artificial intelligence and machine learning are becoming part of the economy in ways we could only imagine a decade ago. From self-driving cars to robots, the rapid growth of AI creates tremendous potential opportunities to increase productivity and economic growth.
This event “Artificial Intelligence: The Economic and Policy Implications” hosted by the Technology Policy Institute, was held at 529 14th Street NW, 13th Floor, Washington, District of Columbia, 20045, United States on Monday 12th September 2016.
Panelists at the event discussed how computer scientists design and implement AI as well as how it is being incorporated into diverse fields and applications, including the current FCC spectrum auction, the digital humanities and image recognition. Participants also explored the policy implications of incorporating AI into these activities.
Machine Learning, Government, and Policy Analysis was presented by Susan Athey who is Economics and Technology Professor at Stanford University Graduate School of Business.
You can view Presentation here.
Who is Susan Carleton Athey?
Susan Athey is an American economist. She is The Economics of Technology Professor at the Stanford Graduate School of Business. Prior to joining Stanford, she was a professor at Harvard University. She is the first female winner of the John Bates Clark Medal. She currently serves as a long-term consultant to Microsoft as well as a consulting researcher to Microsoft Research.
Athey has served as an associate editor of several leading journals, including the American Economic Review, Review of Economic Studies, and the RAND Journal of Economics, as well as the National Science Foundation economics panel, and she also served as an associate editor for Econometrica, Theoretical Economics, and the Quarterly Journal of Economics. She is a past co-editor of the Journal of Economics and Management Strategy and American Economic Journal: Microeconomics. She was the chair of the program committee for the 2006 North American Winter Meetings, and has served on numerous committees for the Econometric Society, the American Economic Association, and the Committee for the Status of Women in the Economics Profession. She is a member of President Obama’s Committee for the National Medal of Science. (wikipedia)
Susan Athey’s research is in the areas of industrial organization, microeconomic theory, and applied econometrics. Her current research focuses on the design of auction-based marketplaces and the economics of the internet, primarily on online advertising and the economics of the news media. She has also studied dynamic mechanisms and games with incomplete information, comparative statics under uncertainty, and econometric methods for analyzing auction models.(https://www.gsb.stanford.edu)
Susan Athey’s talk from the CMSA Big Data Conference on 8/25/15
The Economic and Policy Implications – Panel 1
Speakers:
Colin Allen, Provost Professor of Cognitive Science and History & Philosophy of Science & Medicine, Indiana University and Chair Professor of Philosophy, Xi’an Jiaotong University, Xi’an, China
Kris Hammond, Chief Scientist and co-founder, Narrative Science and Professor of Computer Science, Northwestern University
Jenn Wortman Vaughan, Senior Researcher, Microsoft Research, New York City
Alex Tabarrok (moderator), Bartley J. Madden Chair in Economics and Professor of Economics, George Mason University
The Economic and Policy Implications – Panel 2
Speakers:
James Hairston, Manager, Global Policy Development, Facebook
Tim Hwang, Public Policy and Government Relations Counsel, Google, Inc.
Kevin Leyton-Brown, Professor, Computer Science, University of British Columbia
Scott Wallsten (moderator), Vice President for Research and Senior Fellow, Technology Policy Institute