LAW AND ECONOMICS
Presents:
Avi Goldfarb
University of Toronto, Rotman School of Management
Economic Policy for Artificial Intelligence
Tuesday, February 12, 2019
4:10 pm - 5:45 pm
Room FL219, John Willis Classroom
78 Queens Park
Recent progress in artificial intelligence (AI) – a general purpose technology affecting many industries - has been focused on advances in machine learning, which we recast as a quality-adjusted drop in the price of prediction. How will this sharp drop in price impact society? Policy will influence the impact on two key dimensions: diffusion and consequences. First, in addition to subsidies and IP policy that will influence the diffusion of AI in ways similar to their effect on other technologies, three policy categories - privacy, trade, and liability - may be uniquely salient in their influence on the diffusion patterns of AI. Second, labor and antitrust policies will influence the consequences of AI in terms of employment, inequality, and competition.
Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. His research focuses on the economics of technology. Avi has published over 70 academic articles in a variety of outlets in marketing, statistics, law, computing, and economics. This work has been discussed in Congressional testimony, European Commission documents, the Economist, the New York Times, and elsewhere. Along with Ajay Agrawal and Joshua Gans, Avi is the author of the international bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence.
For additional workshop information, please contact events.law@utoronto.ca
