The Lawfare Podcast

Lawfare Daily: Kevin Frazier on Prioritizing AI Research

Sep 3, 2024

Kevin Frazier, Assistant Professor of Law at St. Thomas University College of Law and Co-Director of the Center for Law and AI Risk, discusses his paper advocating for prioritizing AI research over regulation. He highlights the early state of AI regulation and the need for targeted research to understand specific AI risks. Drawing parallels to automotive safety, Frazier calls for international cooperation in AI governance, contrasting successful models like CERN and IPCC to propose a robust framework for global research efforts.

32:54

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Kevin Frazier

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Quick takeaways

Kevin Frazier emphasizes the urgent need for targeted AI risk research to address under-theorized regulatory challenges, akin to historical automotive safety efforts.

The importance of establishing an international institution for AI risk research is highlighted, promoting cooperative approaches to enhance legitimacy and regulatory coordination.

Deep dives

The Current State of AI Development

The capabilities of AI systems have progressed significantly, surpassing expectations set for 2024. Recent models like Llama 3.1 illustrate the rapid advancements made in just two years, following the launch of technologies such as Chat GPT. Despite concerns about potential slowdowns in innovation due to data and computational shortages, the continued emergence of AI agents capable of autonomous actions poses new regulatory challenges. As AI becomes increasingly intertwined with daily life, the urgency to address these regulatory issues escalates.

Intro

2min

Navigating AI Advancements and Regulation

17min

Exciting Offers from Mobile to Sleep Solutions

2min

Global Cooperation in AI Research

7min

Comparative Models of AI Research: Lessons from CERN and IPCC

7min

Conclusion and Podcast Promotion

2min

Associate Professor at the University of Minnesota Law School and Lawfare Senior Editor Alan Rozenshtein sits down with Kevin Frazier, Assistant Professor of Law at St. Thomas University College of Law, Co-Director of the Center for Law and AI Risk, and a Tarbell Fellow at Lawfare. They discuss a new paper that Kevin has published as part of Lawfare’s ongoing Digital Social Contract paper series titled “Prioritizing International AI Research, Not Regulations.”

Frazier sheds light on the current state of AI regulation, noting that it's still in its early stages and is often under-theorized and under-enforced. He underscores the need for more targeted research to better understand the specific risks associated with AI models. Drawing parallels to risk research in the automobile industry, Frazier also explores the potential role of international institutions in consolidating expertise and establishing legitimacy in AI risk research and regulation.

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