Economics of Artificial Intelligence Conference

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

September 22-23, 2022

The Yorkville Royal Sonesta Hotel Toronto, 220 Bloor Street W, Toronto, ON M5S 1T8, Canada

Conference Code of Conduct

Thursday, September 22
General Economics of A.I. Conference
8:30 am
9:00 am
9:20 am
James J. Feigenbaum, Boston University and NBER
Daniel P. Gross, Duke University and NBER

Organizational Frictions and Increasing Returns to Automation: Lessons from AT&T in the Twentieth Century
Discussant: Joshua S. Gans, University of Toronto and NBER
10:00 am
Daniel Rock, University of Pennsylvania
Prasanna Tambe, University of Pennsylvania
Zhiwei Wang, University of Pennsylvania

Technological Complements to AI Growth
Discussant: Florenta Teodoridis, University of Southern California
10:40 am
11:00 am
Ron Yang, University of British Columbia

(Don’t) Take Me Home: Home Bias and the Effect of Self-Driving Trucks on Interstate Trade
Discussant: Thomas N. Hubbard, Northwestern University and NBER
11:40 am
Lindsey R. Raymond, Massachusetts Institute of Technology
Erik Brynjolfsson, Stanford University and NBER
Danielle Li, Massachusetts Institute of Technology and NBER

Augmented Intelligence: The Effects of AI on Productivity and Work Practices (slides)
Discussant: Emma J. Pierson, Cornell University
12:20 pm
1:10 pm
Martino Banchio, Google Research
Andrzej Skrzypacz, Stanford University

Artificial Intelligence and Auction Design
Discussant: Emilio Calvano, LUISS University
1:50 pm
Ganesh Iyer, University of California, Berkeley
Tony Ke, Chinese University of Hong Kong

Competitive Algorithmic Targeting and Model Selection
Discussant: Jeanine Miklós-Thal, University of Rochester
2:30 pm
2:50 pm
Panel Discussion of Korinek-Juelfs and Beraja-Zorzi
Paper 1
Paper 2

Moderator: Ajay Agrawal, University of Toronto and NBER

Janice Stein, University of Toronto
Roy Bahat, University of California, Berkeley
Patrick Francois, University of British Columbia
3:50 pm
4:10 pm
Maria D. Fitzpatrick, Cornell University and NBER
Katharine Sadowski, Cornell University
Christopher Wildeman, Cornell University

Does Access to an Algorithmic Decision-making Tool Change Child Protective Service Caseworkers’ Investigation Decisions?
Discussant: Ashley T. Swanson, University of Wisconsin-Madison and NBER
4:50 pm
Tania Babina, Columbia University and NBER
Alex X. He, University of Maryland
Anastassia Fedyk, University of California at Berkeley
James Hodson, AI for Good

Artificial Intelligence, Firm Growth, and Product Innovation
Discussant: Erik Brynjolfsson, Stanford University and NBER
5:30 pm
6:00 pm
6:30 pm
Conference Dinner
Friday, September 23
Economics of A.I. in Healthcare Conference
8:00 am
8:30 am
8:40 am
Himabindu Lakkaraju, Stanford University
Chiara Farronato, Harvard University and NBER

When Algorithms Explain Themselves: AI Adoption and Accuracy of Experts' Decisions
Discussant: Kate Bundorf, Duke University and NBER
9:20 am
Ashesh Rambachan, Massachusetts Institute of Technology

Identifying Prediction Mistakes in Observational Data
Discussant: Maria Polyakova, Stanford University and NBER
10:00 am
10:15 am
Ziad Obermeyer, University of California, Berkeley and NBER
Sendhil Mullainathan, University of Chicago and NBER

Health Data Platforms
Discussants: Judy Gichoya, Emory University
David Donoho, Stanford University
11:25 am
11:40 am
David Dranove, Northwestern University
Craig Garthwaite, Northwestern University and NBER

Artificial Intelligence, the Evolution of the Healthcare Value Chain, and the Future of the Physician (slides)
Discussants: David Meltzer, University of Chicago and NBER
Parvin Mousavi, Queen's University
12:50 pm
1:45 pm
David M. Cutler, Harvard University and NBER
Nikhil Sahni, McKinsey & Company
George Stein, McKinsey & Company
Rodney Zemmel, McKinsey & Company

AI to Reduce Administrative Costs in Healthcare
Discussants: Mark Sendak, Duke Institute for Health Innovation
David C. Chan Jr, Stanford University and NBER
2:55 pm
3:05 pm
Ariel Dora Stern, Hasso Plattner Institute

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
Discussants: Boris Babic, University of Toronto
Anna Goldenberg, University of Toronto
4:15 pm
Concluding discussion and next steps
4:30 pm