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Title
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Author
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Year
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The Economics of Markets and Platforms
Some economic models omit intermediaries, entrepreneurs, and other key factors in dynamic markets. The study of platforms like eBay and Etsy leads to the development of more realistic economic models.
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Daniel Spulber |
2019 |
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You Might Be a Robot
Policymakers show increasing interest in regulating robots. However, a "robot" can be hard to define. The increasing pace of innovation makes it hard to apply the plain language of laws to new cases.
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Mark Lemley, Bryan Casey |
2019 |
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Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence
Artificial intelligence (AI) raises the possibility that machines will substitute for humans. AI improves the accuracy of predictions, but when a prediction cannot be made with absolute certainty, judgment is needed to choose the best course of action. Judgment can sometimes be automated.
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Joshua Gans, Ajay Agrawal, Avi Goldfarb |
2019 |
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Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security
"Deep fake" technology makes it possible to create audio and video files of real people saying and doing things they never said or did. These technologies create policy and legal problems. Possible responses include technological solutions, criminal and civil liability, and regulation.
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Danielle Citron, Robert Chesney |
2019 |
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Generalizability: Machine Learning and Humans-in-the-Loop
Machine learned-based software increasingly plays a role in key decision-making systems. The software is “trained” using large datasets; designing effective, fair systems that make accurate predictions when applied to new data is challenging.
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Katherine Strandburg, John Nay |
2019 |
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More Than Money: Correlation Among Worker Demographics, Motivations, and Participation in Online Labor Market
Demographic factors such as age, gender, education and income sources explain participation in online labor markets such as Amazon’s Mechanical Turk. Men and women feel equal pressure to earn money, but schedule work differently.
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Mary L. Gray, Siddharth Suri, Wei-Chu Chen |
2019 |
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Intellectual Property Rights and Innovation: Evidence from the Human Genome
Intellectual property (IP) is intended to encourage innovation. For two years, Celera held exclusive IP rights to data about some human genes. During this time, other firms reduced research and development (R&D) related to these genes from 20-30%. These effects persisted for years after.
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Heidi Williams |
2019 |
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AI and Jobs: The Role of Demand
In recent decades, technology increased productivity but reduced the number of manufacturing jobs. Historically, at times, jobs are gained when productivity improves. If automation increases the demand for a product, automation will increase the number of available jobs in that sector.
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James Bessen |
2019 |
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Public Policy in an AI Economy
Analysis of the impact of artificial intelligence (AI) technology emphasizes AI’s effect on jobs. AI systems are likely to displace workers slowly; if so, the overall effect of AI on jobs will be minimal. Some support the idea of a universal basic income to aid workers displaced from jobs by AI.
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Austan Goolsbee |
2019 |
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Artificial Intelligence, Economics, and Industrial Organization
Deployment of artificial Intelligence (AI) and machine learning (ML) systems will affect the size and choices of firms that provide or use AI services. Economists consider the effects of AI on pricing, firm size, competition, privacy, and security.
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Hal R. Varian |
2019 |