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
September 22-23, 2022
The Yorkville Royal Sonesta Hotel Toronto, 220 Bloor Street W, Toronto, ON M5S 1T8, Canada
Thursday, September 22
General Economics of A.I. Conference
8:30 am
Breakfast
9:00 am
Introductions
9:20 am

Organizational Frictions and Increasing Returns to Automation: Lessons from AT&T in the Twentieth Century

James J. Feigenbaum, Boston University and NBER
Daniel P. Gross, Duke University and NBER

Discussant:
Joshua S. Gans, University of Toronto and NBER
10:00 am

Technological Complements to AI Growth

Daniel Rock, University of Pennsylvania
Prasanna Tambe, University of Pennsylvania
Zhiwei Wang, University of Pennsylvania

Discussant:
Florenta Teodoridis, University of Southern California
10:40 am
Break
11:00 am

(Don’t) Take Me Home: Home Bias and the Effect of Self-Driving Trucks on Interstate Trade

Ron Yang, University of British Columbia

Discussant:
Thomas N. Hubbard, Northwestern University and NBER
11:40 am

Augmented Intelligence: The Effects of AI on Productivity and Work Practices (slides)

Lindsey R. Raymond, Microsoft Research
Erik Brynjolfsson, Stanford University and NBER
Danielle Li, Massachusetts Institute of Technology and NBER

Discussant:
Emma J. Pierson, Cornell University
12:20 pm
Lunch
1:10 pm

Artificial Intelligence and Auction Design

Martino Banchio, Bocconi University
Andrzej Skrzypacz, Stanford University

Discussant:
Emilio Calvano, LUISS University
1:50 pm

Competitive Algorithmic Targeting and Model Selection

Ganesh Iyer, University of California, Berkeley
Tony Ke, The Chinese University of Hong Kong (CUHK)

Discussant:
Jeanine Miklós-Thal, University of Rochester
2:30 pm
Break
2:50 pm
Panel Discussion of Korinek-Juelfs and Beraja-Zorzi
Paper 1
Paper 2

Moderator: Ajay Agrawal, University of Toronto and NBER

Panelists:
Janice Stein, University of Toronto
Roy Bahat, University of California, Berkeley
Patrick Francois, University of British Columbia
3:50 pm
Break
4:10 pm

Does Access to an Algorithmic Decision-making Tool Change Child Protective Service Caseworkers’ Investigation Decisions?

Maria D. Fitzpatrick, Cornell University and NBER
Katharine Sadowski, Stanford University
Christopher Wildeman, Cornell University

Discussant:
Ashley T. Swanson, University of Wisconsin - Madison and NBER
4:50 pm

Artificial Intelligence, Firm Growth, and Product Innovation

Tania Babina, University of Maryland, College Park and NBER
Alex X. He, University of Maryland, College Park
Anastassia Fedyk, University of California, Berkeley
James Hodson, AI for Good

Discussant:
Erik Brynjolfsson, Stanford University and NBER
5:30 pm
Adjourn
6:00 pm
Reception
6:30 pm
Conference Dinner
Friday, September 23
Economics of A.I. in Healthcare Conference
8:00 am
Breakfast
8:30 am
Introductions
8:40 am

When Algorithms Explain Themselves: AI Adoption and Accuracy of Experts' Decisions

Himabindu Lakkaraju, Stanford University
Chiara Farronato, Harvard University and NBER

Discussant:
Kate Bundorf, Duke University and NBER
9:20 am

Identifying Prediction Mistakes in Observational Data

Ashesh Rambachan, Massachusetts Institute of Technology

Discussant:
Maria Polyakova, Stanford University and NBER
10:00 am
Break
10:15 am

Health Data Platforms

Ziad Obermeyer, University of California, Berkeley and NBER
Sendhil Mullainathan, Massachusetts Institute of Technology and NBER

Discussants:
Judy Gichoya, Emory University
David Donoho, Stanford University
11:25 am
Break
11:40 am

Artificial Intelligence, the Evolution of the Healthcare Value Chain, and the Future of the Physician (slides)

David Dranove, Northwestern University
Craig Garthwaite, Northwestern University and NBER

Discussants:
David Meltzer, University of Chicago and NBER
Parvin Mousavi, Queen's University
12:50 pm
Lunch
1:45 pm

AI to Reduce Administrative Costs in Healthcare

David M. Cutler, Harvard University and NBER
Nikhil Sahni, McKinsey & Company
George Stein, McKinsey & Company
Rodney Zemmel, McKinsey & Company

Discussants:
Mark Sendak, Duke Institute for Health Innovation
David C. Chan Jr, University of California, Berkeley and NBER
2:55 pm
Break
3:05 pm

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

Ariel Dora Stern, Hasso Plattner Institute

Discussants:
Boris Babic, University of Toronto
Anna Goldenberg, University of Toronto
4:15 pm
Concluding discussion and next steps
4:30 pm
Adjourn