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The University of Texas at Austin School of Law

Kevin Frazier in the Media

Kevin Frazier’s faculty profile

External link idaho statesman

Idaho Statesman July 28, 2026

Idaho is building a thoughtful approach to AI in education

Lecturer Kevin Frazier argues that Idaho’s proposed K–12 AI standards should be more adaptable, emphasize real-world problem-solving, and prepare students to use emerging technology rather than simply understand it.
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The Center Square July 13, 2026

Op-Ed: Missed opportunities: What to learn from Washington’s AI Task Force

Lecturer Kevin Frazier argues that Washington’s AI Task Force focuses too heavily on limiting artificial intelligence and should instead support carefully regulated pilot programs that use AI to address challenges in mental health care, education, and public services.
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Fulcrum June 22, 2026

There’s No Easy Path Through the AI Transition

Lecturer Kevin Frazier argues that policy makers must take a more active role in preparing for AI-driven economic changes, advocating for stronger workforce training programs, local engagement, and practical policy solutions that help communities adapt to technological disruption.
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Tech Policy Press June 15, 2026

Earning a Social License for Transformative AI

Lecturer Kevin Frazier discusses how AI labs use constitutions to guide powerful models and stressed the importance of a proposed "Peoples AI Constitution Council" to ensure public oversight and democratic control over AI models used by the government.
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Marketplace June 9, 2026

Who would benefit from a U.S. wealth fund’s investment in AI?

Lecturer Kevin Frazier discusses proposals for a U.S. wealth fund to invest in artificial intelligence, emphasizing the importance of ensuring that the public shares in the benefits of AI-driven economic growth.      
External link Fulcrum Header

The Fulcrum June 5, 2026

In Defense of “Crackpot Schemes” for AI Governance

AI Innovation and Law Fellow Kevin Frazier discusses the need for more concrete and inclusive approaches for AI governance, emphasizing that public engagement should play a larger role in shaping AI policy. He argues that citizen input can help identify both the benefits and the risks of emerging AI technologies.
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Civitas Institute June 3, 2026

The Great U.S. Artificial Intelligence Jobs Transition

AI Innovation and Law Fellow Kevin Frazier argues that AI companies should help lead workforce policy experiments that Congress can later scale, especially to support younger workers affected by AI job disruption. He emphasizes that public-private partnerships, standardized metrics, and accountable training programs will be key to preparing jobs for the AI transitions.