Kevin Frazier

Kevin Frazier is the AI Innovation and Law Fellow at Texas Law. Prior to joining UT Austin, Kevin served as an Assistant Professor at St. Thomas University College of Law and conducted research for the Institute for Law and AI. His scholarship on innovation law and policy has been published in leading law reviews, such as the Tennessee Law Review, and popular outlets, like the MIT Tech Review.

We Must Avoid Killer Acquisitions at the Birth of AI

The artificial intelligence market is rapidly developing but antitrust regulators are failing to update their policies, write Tennessee Attorney General and Reporter Jonathan Skrmetti and Kevin Frazier. Regulators’ passiveness risks repeating what happened to social media markets, where a few tech giants were able to acquire nascent competitors and dominate the market. The authors propose three policies to help maintain a competitive AI market.

A Neo-Jeffersonian Approach to Antitrust Would Better Protect Individual Liberty

Kevin Frazier writes that the Neo-Brandeisian movement’s focus on bigness as a harm to society in itself neglects the true focus of antitrust policy—protection of individual liberty, as envisioned by Thomas Jefferson. He argues that a Neo-Jeffersonian approach would clarify antitrust’s goals and produce more appropriate government intervention in markets.

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