AI Policy Is Stuck in 1787: Kevin Frazier, University of Texas School of Law
Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law, on why AI lawmaking still runs on 1787 assumptions.
Welcome to Episode #50 of Bills & Business. In this episode, Laura Davis, Co-Founder of USLege, sits down with Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and Senior Fellow at the Abundance Institute. Kevin has testified before Congress on AI, been published in the MIT Tech Review, and co-hosts the Scaling Laws podcast.
Laura and Kevin dig into why we still legislate like it is 1787, what it would take to build real policy analysis tools into the law itself, how parents can handle the “bits and the bots” talk, and why better AI policy means thinking more like scientists and less like politicians.
It is a fitting subject for the show’s fiftieth episode. The through line is less about any single AI bill than about the machinery that produces them, and whether a legislative process still running on 1787 assumptions can evaluate a technology moving this quickly.
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