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Economics of Artificial Intelligence Conference
Organized by Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, and Catherine Tucker Supported by the Alfred P. Sloan Foundation, Microsoft, and Microsoft Github September 22, 2023 Shangri-La Hotel Toronto, Queen's Park Ballroom, 188 University Avenue, Toronto, ON M5H 0A3 Canada Format: 20 minutes for presentation, 10 minutes for discussion, and 15 minutes for Q&A. |
Thursday, September 21 | |
6:30 pm |
Group Dinner
Sheraton Centre Toronto Hotel, Dual Citizen Restaurant, lobby level (across the street from the Shangri-La) |
Friday, September 22 | |
8:00 am |
Continental Breakfast
|
8:30 am |
Welcome and Introductions:
Ajay Agrawal, University of Toronto and NBER |
8:50 am |
Keynote:
Governor Lisa D. Cook, Board of Governors of the Federal Reserve System |
9:15 am |
The A.I. Dilemma: Growth versus Existential Risk
Discussant:
Joshua S. Gans, University of Toronto and NBER |
10:00 am |
Break
|
10:30 am |
Machine Learning as a Tool for Hypothesis Generation
Discussant:
John McHale, University of Galway |
11:15 am |
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Discussant:
Timothy F. Bresnahan, Stanford University |
12:00 pm |
Lunch
|
1:00 pm |
Does Human-Algorithm Feedback Loop Lead to Error Propagation? Evidence from Zillow’s Zestimate
Discussant:
Emilio Calvano, LUISS University |
1:45 pm |
Automation and the Rise of Superstar Firms
Discussant:
Maryam Farboodi, Massachusetts Institute of Technology and NBER |
2:30 pm |
Break
|
3:00 pm |
Privacy Preserving Signals
Discussant:
Shota Ichihashi, Queen's University |
3:45 pm |
The Value of External Data for Digital Platforms: Evidence from a Field Experiment on Search Suggestions
Discussant:
Abhishek Nagaraj, University of California, Berkeley and NBER |
4:30 pm |
Wrap up and closing remarks:
Avi Goldfarb, University of Toronto and NBER |
4:45 pm |
Adjourn
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