The Lawfare Podcast features discussions with experts, policymakers, and opinion leaders at the nexus of national security, law, and policy. On issues from foreign policy, homeland security, intelligence, and cybersecurity to governance and law, we have doubled down on seriousness at a time when others are running away from it. Visit us at www.lawfareblog.com.
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The Lawfare Podcast features discussions with experts, policymakers, and opinion leaders at the nexus of national security, law, and policy. On issues from foreign policy, homeland security, intelligence, and cybersecurity to governance and law, we have doubled down on seriousness at a time when others are running away from it. Visit us at www.lawfareblog.com.
Support this show http://supporter.acast.com/lawfare.
Hosted on Acast. See acast.com/privacy for more information.
Cullen O’Keefe, Research Director at the Institute for Law and AI, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and a Contributing Editor at Lawfare, and Renée DiResta, Associate Research Professor at the McCourt School of Public Policy at Georgetown and a Contributing Editor at Lawfare, to discuss a novel AI governance framework. They dive into a paper he co-authored on the concept of "Law-Following AI" or LFAI. That paper explores a near-term future. Imagine AI systems capable of tackling complex computer-based tasks with expert human-level skill. The potential for economic growth, scientific discovery, and improving public services is immense. But how do we ensure these powerful tools operate safely and align with our societal values? That’s the question at the core of Cullen’s paper and this podcast.
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Support this show http://supporter.acast.com/lawfare.
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