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
| Thursday, September 22 | ||||
| General Economics of A.I. Conference | ||||
| 8:30 am | Breakfast | |||
| 9:00 am | Introductions | |||
| 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
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| 10:00 am |
Daniel Rock, University of Pennsylvania Prasanna Tambe, University of Pennsylvania Zhiwei Wang, University of Pennsylvania Technological Complements to AI Growth
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| 10:40 am | Break | |||
| 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
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| 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
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| 12:20 pm | Lunch | |||
| 1:10 pm |
Martino Banchio, Bocconi University Andrzej Skrzypacz, Stanford University Artificial Intelligence and Auction Design
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| 1:50 pm |
Ganesh Iyer, University of California, Berkeley Tony Ke, Chinese University of Hong Kong Competitive Algorithmic Targeting and Model Selection
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| 2:30 pm | Break | |||
| 2:50 pm |
Panel Discussion of Korinek-Juelfs and Beraja-Zorzi 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 |
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| 3:50 pm | Break | |||
| 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?
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| 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
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| 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 |
Himabindu Lakkaraju, Stanford University Chiara Farronato, Harvard University and NBER When Algorithms Explain Themselves: AI Adoption and Accuracy of Experts' Decisions
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| 9:20 am |
Ashesh Rambachan, Massachusetts Institute of Technology Identifying Prediction Mistakes in Observational Data
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| 10:00 am | Break | |||
| 10:15 am |
Ziad Obermeyer, University of California, Berkeley and NBER Sendhil Mullainathan, University of Chicago and NBER Health Data Platforms
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| 11:25 am | Break | |||
| 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
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| 12:50 pm | Lunch | |||
| 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
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| 2:55 pm | Break | |||
| 3:05 pm |
Ariel Dora Stern, Hasso Plattner Institute The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
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| 4:15 pm | Concluding discussion and next steps | |||
| 4:30 pm | Adjourn | |||