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Wednesday, September 25 | |
6:30 pm |
Group Dinner at Signatures Restaurant - Intercontinental Hotel
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Thursday, September 26 | |
8:30 am |
Continental Breakfast - Barclay Room, Second Floor
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9:00 am |
Introductions
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9:15 am |
How Automation that Substitutes for Labor Affects Production Networks, Growth, and Income Inequality
Discussant:
Pascual Restrepo, Yale University and NBER |
10:00 am |
New Frontiers: The Evolving Content and Geography of New Work in the 20th Century
Discussant:
Patrick Francois, University of British Columbia |
10:45 am |
Break
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11:00 am |
Session: Regulation
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How Would AI Regulation Change Firms' Behavior? Evidence from Thousands of Managers |
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Regulatory Markets for AI Safety |
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Biased Programmers? Or Biased Data? A Field Experiment about Algorithmic Bias
Discussant:
Carl Shapiro, University of California, Berkeley and NBER |
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12:00 pm |
Lunch - Barclay Room, Second Floor
Presentation by Steve Jurvetson, Future Ventures Presentation by Abraham Heifets, CEO, Atomwise, Inc. Portfolios of Discovery: Increasing Success and Reducing Variance in Drug Discovery with AI Discussion by Scott Stern, Massachusetts Institute of Technology and NBER/ followed by Open Discussion |
2:00 pm |
Service Quality in the Gig Economy: Empirical Evidence about Driving Quality at Uber
Discussant:
Matt Taddy, Amazon |
2:45 pm |
Manipulation-Proof Machine Learning
Discussant:
Mitsuru Igami, University of Toronto |
3:30 pm |
White Collar Technological Change: Evidence from Job Posting Data
Discussant:
Betsey Stevenson, University of Michigan and NBER |
4:15 pm |
Break
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4:30 pm |
Session: Applications of Machine Learning
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Predictably Unequal? The Effects of Machine Learning on Credit Markets |
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Reading China: Predicting Policy Change with Machine Learning |
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Machine Learning, Human Experts, and the Valuation of Real Assets
Discussant:
Mara Lederman, University of Toronto |
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5:30 pm |
Panel Discussion on Task-Based and Systems Models
with Timothy Bresnahan, David Autor, and Pascual Restrepo |
6:00 pm |
Adjourn
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6:30 pm |
Group Dinner
Gardiner Museum 111 Queens Park, Toronto Presentation by Jack A. Clark, OpenAI |
Friday, September 27 | |
8:00 am |
Continental Breakfast - Barclay Room, Second Floor
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8:30 am |
IT, AI and the Growth of Intangible Capital
Discussant:
Diego A. Comin, Dartmouth College and NBER |
9:15 am |
Session: AI and Innovation
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Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence |
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Deep Learning, Deep Change? Mapping the Development of the Artificial Intelligence General Purpose Technology |
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Artificial Intelligence, Scientific Discovery, and Commercial Innovation
Discussant:
Timothy F. Bresnahan, Stanford University |
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10:15 am |
Break
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10:45 am |
How Does Compliance Affect the Returns to Algorithms? Evidence from Boston's Restaurant Inspectors
Discussant:
Amalia R. Miller, University of Virginia and NBER |
11:30 am |
Session: What Happens to Workers?
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Artificial Intelligence and the Future of Work: Evidence from Analysts |
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Automatic Reaction – What Happens to Workers at Firms that Automate? |
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Robots Are Us: Some Economics of Human Replacement
Discussant:
Jason Furman, Harvard University |
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12:30 pm |
Lunch - Barclay Room, Second Floor
Presentation by Tomi Poutanen, Layer 6 |
2:00 pm |
Consumer-Lending Discrimination in the FinTech Era
Discussant:
Stefan Hunt, Keystone Strategy |
2:45 pm |
Managing Intelligence: Skilled Experts and AI in Markets for Complex Products
Discussant:
Ariel Dora Stern, Hasso Plattner Institute |
3:30 pm |
Wrap Up and Closing Remarks
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3:35 pm |
Adjourn
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FORMAT: Regular sessions: 20 mins presenter, 10 mins discussion, 15 mins Q&A. Short paper sessions: 10 mins presenter, 15 mins discussion, 15 mins Q&A. |