
	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, Massachusetts Institute of Technology 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, Chinese University of Hong Kong 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, Cornell 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, Columbia University and NBER Alex X. He, University of Maryland Anastassia Fedyk, University of California at 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, University of Chicago 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, Stanford University 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

Participants

Idris Adjerid, Virginia Tech
Ajay K. Agrawal, University of Toronto and NBER
Wajeeha Ahmad, Stanford University
Dinara Akchurina, University of Toronto
Boris Babic, University of Toronto
Tania Babina, Columbia University and NBER
Roy Bahat, University of California, Berkeley
Martino Banchio, Bocconi University
Heski Bar-Isaac, University of Toronto
Dawn Bell, Novartis
Martin Beraja, Massachusetts Institute of Technology and NBER
Kevin A. Bryan, University of Toronto
Erik Brynjolfsson, Stanford University and NBER
Kate Bundorf, Duke University and NBER
Emilio Calvano, LUISS University
David C. Chan Jr, Stanford University and NBER
Zirou Chen, University of Toronto
Manuela Collis, University of Toronto
David M. Cutler, Harvard University and NBER
Fabrizio Dell'Acqua, Harvard Business School
Daniel Donoho, Children’s National Hospital
David Donoho, Stanford University
David Dranove, Northwestern University
Tyna Eloundou, OpenAI
Maryam Farboodi, Massachusetts Institute of Technology and NBER
Chiara Farronato, Harvard University and NBER
Ben Fine, University of Toronto
Maria D. Fitzpatrick, Cornell University and NBER
Patrick Francois, University of British Columbia
Alberto Galasso, University of Toronto and NBER
Joshua S. Gans, University of Toronto and NBER
Guodong (Gordon) Gao, Johns Hopkins University
Judy Gichoya, Emory University
Daniel Goetz, University of Toronto
Anna Goldenberg, University of Toronto
Avi Goldfarb, University of Toronto and NBER
Ali Goli, University of Washington
Daniel P. Gross, Duke University and NBER
Jonathan S. Hartley, Stanford University
Alex X. He, University of Maryland
Mohaddeseh Heydari Nejad, University of Toronto
Timothy Hodgson, Next Canada
Sepideh Hosseini, University of Toronto
Thomas N. Hubbard, Northwestern University and NBER
Mitsuru Igami, University of Toronto
Yizhou Jin, University of Toronto

Tony Ke, Chinese University of Hong Kong
Marlène Koffi, University of Toronto and NBER
Anton Korinek, University of Virginia and NBER
Yannick Lallement, Scotiabank
Mara Lederman, University of Toronto
Danielle Li, Massachusetts Institute of Technology and NBER
Susan F. Lu, University of Toronto
Wei Lu, University of Toronto
Jeffrey S. McCullough, University of Michigan
Kristina McElheran, University of Toronto
David Meltzer, University of Chicago and NBER
Jeanine Miklós-Thal, University of Rochester
Pamela Mishkin, OpenAI
Matthew Mitchell, University of Toronto
Parvin Mousavi, Queen's University
Ziad Obermeyer, University of California, Berkeley and NBER
Vardan Papyan, University of Toronto
Emma J. Pierson, Cornell University
Maria Polyakova, Stanford University and NBER
Nicholson Price, University of Michigan
Ashesh Rambachan, Massachusetts Institute of Technology
Ruben Ramirez Salas, University of Toronto
Sam Ransbotham, Boston College
Lindsey Raymond, Massachusetts Institute of Technology
Daniel Rock, University of Pennsylvania
Laura Rosella, University of Toronto
Nikhil Sahni, McKinsey & Company
Robert Seamans, New York University
Mark Sendak, Duke Institute for Health Innovation
Avni Shah, University of Toronto
Janice Stein, University of Toronto
Ariel Dora Stern, Hasso Plattner Institute
Ruiqi Sun, University of Toronto
Ashley T. Swanson, University of Wisconsin-Madison and NBER
Prasanna Tambe, University of Pennsylvania
Florenta Teodoridis, University of Southern California
Daniel Trefler, University of Toronto and NBER
Catherine Tucker, Massachusetts Institute of Technology and NBER
Ryan Webb, University of Toronto
Nicole Wu, University of Toronto
Ron Yang, University of British Columbia
Pinar Yildirim, University of Pennsylvania and NBER
Han Zhong, University of Toronto
Yanuo Zhou, University of Toronto
Ruizhi Zhu, University of Toronto