Economics of Artificial Intelligence

Ajay K. Agrawal, Joshua S. Gans, and Avi Goldfarb, Organizers

September 13-14, 2017

Willard Room, Second Floor

Toronto, ON Canada

Conference Code of Conduct

Tuesday, September 12
6:30pm
Dinner at Cibo Wine Bar – Yorkville, 133 Yorkville Ave.
Wednesday, September 13
8:30 am
Continental breakfast - Portman Room, Second Floor
9:00 am
Introductions
9:10 am

The Impact of Artificial Intelligence on Innovation
Discussant: Matthew Mitchell, University of Toronto
9:55 am

Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics
Discussant: Rebecca Henderson, Harvard University and NBER
10:40 am
Break
11:00 am

Market Design
Discussant: Matt Taddy, Amazon, Inc.
11:45 am

Impact on Economics (slides)
Discussant: Mara Lederman, University of Toronto
12:30 pm
Lunch - Portman Room, Second Floor
Presentation by Vinod Khosla, Khosla Ventures
1:45 pm

Prediction, Judgment and Complexity
Discussant: Andrea Prat, Columbia University and NBER
2:30 pm
Break
2:45 pm

Privacy
Discussant: Ginger Zhe Jin, University of Maryland, College Park and NBER
3:30 pm

Trade
Discussant: Dave Donaldson, Massachusetts Institute of Technology and NBER
4:15 pm
Break
4:30 pm
Panel: Impact on Policy Making
Susan Athey, Stanford University and NBER
Austan Goolsbee, University of Chicago and NBER
Lawrence H. Summers, Harvard University and NBER
5:30 pm
Adjourn
6:00 pm
Dinner, Sassafraz, 100 Cumberland Street
Dinner Panel:
Geoffrey Hinton, University of Toronto and Google
Yann LeCun, New York University and Facebook
Ruslan Salakhutdinov, Carnegie Mellon University and Apple
Thursday, September 14
8:00 am
Continental breakfast - Portman Room, Second Floor
8:30 am

Behavioural Economics (slides)
Discussant: Daniel Kahneman, Princeton University
9:15 am

Income Distribution
Discussant: Susan Dynarski, Harvard University and NBER
10:10 am
Break
10:30 am

Artificial Intelligence and Economic Growth
Discussant: Patrick Francois, University of British Columbia
11:15 am

Historical Context and the Long Run
Discussant: Manuel Trajtenberg, Tel Aviv University and NBER
12:00 noon
Lunch - Portman Room, Second Floor
1:00 pm

Machine Learning, Market Structure and Competition
Discussant: Judith A. Chevalier, Yale University and NBER
1:45 pm
Break
2:20 pm

Artificial Intelligence, Worker-Replacing Technological Change, and Income Distribution (slides)
Discussant: Tyler Cowen, George Mason University
3:05 pm

Robocalypse Now: Does Productivity Growth Threaten Employment?
Discussant: Betsey Stevenson, University of Michigan and NBER
3:50 pm
Wrap up and closing remarks
4:00 pm
Adjourn