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. Panelists at the event will discuss 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 will also explore the policy implications of incorporating AI into these activities. Registration for the event can be performed below.

Agenda

8:15 am Registration and Continental Breakfast

8:30 am Keynote: Machine learning, Government, and Policy Analysis

Susan Athey, Economics and Technology Professor, Stanford University Graduate School of Business
View Presentation
9:00 am Panel 1: Artificial Intelligence and Machine Learning 101

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
View Presentation
Alex Tabarrok (moderator), Professor of Economics, George Mason University
10:00 am Panel 2: Artificial Intelligence Policy Implications and Applications

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
View Presentation
Scott Wallsten (moderator), President and Senior Fellow, Technology Policy Institute