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Daniel Schwarcz on AI and Human Legal Reasoning
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Daniel Schwarcz on AI and Human Legal Reasoning
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In this episode, Daniel Schwarcz, Fredrikson & Byron Professor of Law and a Distinguished University Teaching Professor at the University of Minnesota Law School, discusses his draft article "Artificial Intelligence and Human Legal Reasoning," which he co-authored with Nicholas Bednar, David R. Cleveland, and Allan Erbsen. Schwarcz explains that he and his co-authors wanted to test the conventional wisdom that using artificial intelligence models to answer legal questions will inhibit the ability of law students and lawyers to learn how to answer those questions on their own. He describes their empirical study designed to test that hypothesis and its unexpected results. And he reflects on what we can learn from the study. Schwarcz is on Twitter and Bluesky.
This episode was hosted by Brian L. Frye, Spears-Gilbert Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at @brianlfrye and on Bluesky at @brianlfrye.bsky.social.
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