
Kevin Frazier
Biography
Professor Kevin Frazier leads the AI Innovation and Law Program at the University of Texas School of Law and is a Senior Fellow at the Abundance Institute. He also serves as an adjunct research fellow at the Cato Institute. Born and raised in Beaverton, Oregon, he is a graduate of the University of Oregon, UC Berkeley School of Law, and Harvard Kennedy School. Prior to joining the legal academy, he clerked for the Montana Supreme Court and conducted a research fellowship on AI. His research focuses on how to reform bureaucracies and update regulations to facilitate innovation. Frazier has testified before Congress on topics ranging from artificial intelligence to undersea cables; he regularly advises state and federal policymakers on how to accelerate adoption of emerging technologies. You can listen to his two cents on all things tech policy via the Scaling Laws podcast.
Get the Civitas Outlook daily digest, plus new research and events.


.png)

Adding Friction to Rushed Federal AI Governance
An AI Commencement Address That Might Not Elicit Boos
The Great AI Jobs Transition
The End of the AI Binary
Locke, Meet Claude
Cut Licensing, Cut Prices, Embrace AI
AI Needs Consumer Choice, Not Bureaucratic Control
The AI Future: Between Certain Doom and Endless Prosperity
The AI Frontier Must be Fiercely Competitive
Entrepreneurial Freedom in the Age of AI
Beyond the Border: How Extraterritorial State Laws Risk America’s AI Ambitions
America's Litigation Addiction Threatens Its AI Leadership
The FTC and AI: May a Thousand Competitive Flowers Bloom
Law Can’t Answer Every Question Posed by AI
Draining the Ivory Tower
Don’t Californicate, Floridize, or Kentuckify My AI
Build it. They're coming.