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Kevin T. Frazier is the AI Innovation Law Fellow at the University of Texas School of Law, where he specializes in how design regulatory ecosystems can accelerate the adoption and diffusion of artificial intelligence (AI). He has published scholarship in leading law reviews such as Tennessee Law Review and popular outlets including MIT Technology Review. As Texas Law’s inaugural AI Fellow, he leads the AI Innovation Law Program, teaching AI courses and connecting students with Austin’s growing startup community. Frazier has also contributed to the field as a Senior Editor at Lawfare, co-hosting the podcast "Scaling Laws" focused on AI policy. With a JD from the University of California-Berkeley and a Master’s in Public Administration from Harvard Kennedy School, his previous academic roles included teaching constitutional law at St. Thomas University College of Law. Frazier has experience working with Oregon Governor Kate Brown and has engaged with various tech companies such as Google and Verily. His research interests encompass artificial intelligence, innovation policy, and regulatory design, with contributions to many leading law journals and essays on AI policy for a range of platforms.
University of Texas School of Law • Austin, TX
Leading the AI Innovation Law Program and teaching courses related to AI.
St. Thomas University College of Law • Miami, FL
Taught courses on constitutional law, administrative law, and civil procedure.
This entry represents the Juris Doctor (JD) program, which is the primary professional doctorate offered by the School of Law.