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Title
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Author
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Year
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Automation and New Tasks: How Technology Displaces and Reinstates Labor
Technological change affects employment and wages. Automation may reduce the demand for labor in some areas but reinstate it in others. For the past three decades, automation has tended to reduce the demand for labor overall.
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Daron Acemoglu, Pascual Restrepo |
2019 |
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Tech Dominance and the Policeman at the Elbow
Over time, dominant tech firms like IBM have been displaced by rivals. Antitrust enforcement spurred changes to IBM’s behavior that enabled the rise of a competitive software and computer industry.
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Tim Wu |
2019 |
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Digital Platforms and Antitrust Law
Some allege that large “big data” platforms can easily harm innovation by excluding rivals, but some controversial platform conduct benefits consumers and does not appear to harm innovation.
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Keith Hylton |
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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The Impact of Artificial Intelligence on Rules, Standards, and Judicial Discretion
Artificial intelligence (AI) systems will be used by lawmakers and judges to refine and apply the law. Over time, flexible standards will tend to be displaced by precise rules.
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Saul Levmore, Frank Fagan |
2019 |
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Algorithmic Impact Assessments under the GDPR: Producing Multi-layered Explanations
The European Union's General Data Protection Direction (GDPR) addresses concerns with automated decision-making. Impact assessments support both individual privacy rights and oversight of the entire system.
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Margot Kaminski, Gianclaudio Malgieri |
2019 |