|
Title
|
Author
|
Year
|
|
Nascent Competitors
Large incumbent firms may take steps to eliminate innovative nascent competitors, either by merger or by excluding them from the market.
|
C. Scott Hemphill, Tim Wu |
2020 |
|
Race, Labor, and the Future of Work
As automation and globalization transform the labor market, the need for labor protection for racial minorities remains a concern. Emerging artificial intelligence (AI) systems may worsen labor inequalities.
|
Ifeoma Ajunwa |
2020 |
|
Privacy Regulation and Innovation Policy
Some claim that privacy regulation threatens innovation, but regulation is appropriate to correct market failures. Privacy regulation could help align markets and ensure that innovation is consistent with social values.
|
Katherine Strandburg, Yafit Lev-Aretz |
2020 |
|
Liability Rules for Autonomous Vehicles: How Traditional Legal Relations Encourage Modern Technological Innovation
As autonomous vehicles (AVs) come into use, lawyers will guide courts’ choice of liability rules, the sanctions that apply when the rules of the road are broken. The best rule for many accidents involving AVs will be strict liability.
|
Richard Epstein |
2020 |
|
Competing in the Age of AI
Artificial Intelligence (AI) enables the rapid growth of a new type of firm. Many traditional firms now compete directly with AI-based firms. Business strategies and competitive processes are changing.
|
Marco Iansiti, Karim R. Lakhani |
2020 |
|
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.
|
Mark Lemley, Bryan Casey |
2019 |
|
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.
|
Joshua Gans, Ajay Agrawal, Avi Goldfarb |
2019 |
|
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.
|
Danielle Citron, Robert Chesney |
2019 |
|
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.
|
Katherine Strandburg, John Nay |
2019 |
|
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.
|
Mary L. Gray, Siddharth Suri, Wei-Chu Chen |
2019 |