Economics of Artificial Intelligence
Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, and Catherine Tucker, Organizers
September 26-27, 2019
Supported by the Alfred P. Sloan Foundation and the Creative Destruction Lab
Intercontinental Hotel, 220 Bloor Street West, Toronto, ON Canada M5S 1T8
| Wednesday, September 25 | ||||
| 6:30 pm | Group Dinner at Signatures Restaurant - Intercontinental Hotel | |||
| Thursday, September 26 | ||||
| 8:30 am | Continental Breakfast - Barclay Room, Second Floor | |||
| 9:00 am | Introductions | |||
| 9:15 am |
How Automation that Substitutes for Labor Affects Production Networks, Growth, and Income Inequality
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| 10:00 am |
New Frontiers: The Evolving Content and Geography of New Work in the 20th Century
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| 10:45 am | Break | |||
| 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
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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 |
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| 2:00 pm |
Service Quality in the Gig Economy: Empirical Evidence about Driving Quality at Uber
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| 2:45 pm |
Manipulation-Proof Machine Learning
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| 3:30 pm |
White Collar Technological Change: Evidence from Job Posting Data
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| 4:15 pm | Break | |||
| 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
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| 5:30 pm |
Panel Discussion on Task-Based and Systems Models with Timothy Bresnahan, David Autor, and Pascual Restrepo |
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| 6:00 pm | Adjourn | |||
| 6:30 pm |
Group Dinner Gardiner Museum 111 Queens Park, Toronto Presentation by Jack A. Clark, OpenAI |
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| Friday, September 27 | ||||
| 8:00 am | Continental Breakfast - Barclay Room, Second Floor | |||
| 8:30 am |
IT, AI and the Growth of Intangible Capital
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| 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
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| 10:15 am | Break | |||
| 10:45 am |
How Does Compliance Affect the Returns to Algorithms? Evidence from Boston's Restaurant Inspectors
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| 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
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| 12:30 pm |
Lunch - Barclay Room, Second Floor Presentation by Tomi Poutanen, Layer 6 |
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| 2:00 pm |
Consumer-Lending Discrimination in the FinTech Era
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| 2:45 pm |
Managing Intelligence: Skilled Experts and AI in Markets for Complex Products
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| 3:30 pm | Wrap Up and Closing Remarks | |||
| 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. |
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