Kevin Frazier’s faculty profile
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.
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.
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.
KVUE June 1, 2026
Texas Congressman Casar proposes tax on AI companies to fund jobs program
Lecturer Kevin Frazier comments on Texas Rep. Greg Casar's proposal to tax AI tokens, explaining that token needs vary widely—from billions for Fortune 500 companies to far fewer for small businesses.
Deseret News May 31, 2026
Utah leaders are looking toward the future with optimism
In an op-ed piece, Lecturer Kevin Frazier argues that communities can address challenges related to AI, energy, housing, and infrastructure through innovation and an optimistic approach to the future.
The Fulcrum May 30, 2026
Fulcrum Roundtable: Moving From Aspirational Statements to Hands-On AI Policy
Lecturer Kevin Frazier discusses the need for more community-focused approaches to AI governance, emphasizing the importance of local engagement and policy making to help ensure that benefits of AI are broadly shared.
WSFA12 May 27, 2026
Commission on AI and kids online safety meets in Montgomery
Lecturer Kevin Frazier argues that AI shouldn't be viewed as a replacement for teachers, therapists, or parents, but rather as a tool that augments and improves the services those people already provide.
The Regulatory Review May 26, 2026
Data Privacy and AI Progress
Lecturer Kevin Frazier and Gillian Glover '27 co-author a piece arguing that outdated privacy laws in health care and education are holding back AI progress, calling on regulators to shift from data minimization to data stewardship to unlock AI's potential for improving diagnoses and learning outcomes.
The Fulcrum May 22, 2026
We’re Failing Gen Alpha
Lecturer Kevin Frazier argues that policymakers are failing Gen Alpha by waiting to act on AI's expected disruption to the labor market and urges dynamic legislation with pre-written, trigger-based policies designed to protect workers before a crisis hits.
The National Interest May 21, 2026
The US-China Summit Signals a Potential Shift in US AI Policy
Lecturer Kevin Frazier argues that U.S.-China AI cooperation on biosecurity and cybersecurity risks is worth pursuing, but must be guided by transparency, congressional involvement, and protection of American AI leadership.
Fortune May 13, 2026
Your grandma should be using AI. really
AI Innovation and Law Fellow Kevin Frazier shares his view that AI can meaningfully improve both the quality of life of older Americans and the support systems that surround them.
RealClear Policy May 12, 2026
The End of the AI Binary
AI Innovation and Law Fellow Kevin Frazier offers his view that being pro-AI does not mean being pro-recklessness, but rather creating the conditions for AI to be deployed widely and quickly while ensuring core institutions can keep up.