S8 Ep124: PREVIEW — Kevin Fraser — Regulating the AI Frontier vs. Focusing on Practical User Experience. Fraser examines the central dilemma in AI regulation, observing that proponents prioritize regulating sophisticated frontier AI developed internally by major la

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John Batchelor

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🗓️ 25 November 2025

⏱️ 2 minutes

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Summary

PREVIEW — Kevin Fraser — Regulating the AI Frontier vs. Focusing on Practical User Experience. Fraser examines the central dilemma in AI regulation, observing that proponents prioritize regulating sophisticated frontier AI developed internally by major labs including OpenAI, Anthropic, and XAI. Fraser contends that regulatory focus should instead prioritize real-world user experiences when AI is deployed in practical settings such as hospitals and educational institutions, ensuring policymakers develop a comprehensive understanding of both risks and benefits.

Transcript

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0:00.0	This is John Batchel, a conversation with Kevin Fraser, a fellow at the University of Texas Law School,
0:06.9	studying innovation, particularly artificial intelligence, and the burst of energy for regulating in the
0:14.9	states, in the government, in Europe, and what is to be done? Regulation, regulation, regulation. Will it inhibit? Yes, of course.
0:24.4	Is it too early for it? Perhaps. In any event, here, Kevin presents the dilemma. AI, challenged by the
0:32.4	courts, but also to be challenged by the legislatures. Much more to learn about this coming right away.
0:39.9	The frontiers of AI, not the retail AI that I can get access to,
0:46.9	but the frontiers, does it need attention now?
0:51.1	Kevin Fraser.
0:53.1	So the folks who are really leaning into the idea that we need to regulate the frontier of
0:59.0	AI, they'll say that when you go and you look at what labs are developing internally,
1:05.0	what labs like Open AI, Anthropic, XAI, what they're working at within their four walls is more sophisticated than what we're seeing in the popular domain.
1:14.8	And so they're putting a lot of value on what may be the risks of future AI that hasn't been released generally.
1:25.0	And that's why I think we need to really lean into the experience that normal users are
1:29.7	having.
1:30.7	What are we seen on the ground in terms of when AI is put into a hospital or into an educational
1:36.7	setting?
1:37.7	What are the pros and cons we're seeing in that context?
1:40.7	Because we need to make sure that we're getting a full picture of AI rather than just focusing on very narrow risks or very narrow use cases.

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