Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
History
TV & Film
Technology
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/dc/53/44/dc5344a5-fa60-8b04-a282-8c18dd4e0ad5/mza_16125141423964533799.jpeg/600x600bb.jpg
Scaling Laws
Lawfare & University of Texas Law School
190 episodes
6 days ago
Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

Hosted on Acast. See acast.com/privacy for more information.

Show more...
Government
News,
Politics,
Tech News
RSS
All content for Scaling Laws is the property of Lawfare & University of Texas Law School and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

Hosted on Acast. See acast.com/privacy for more information.

Show more...
Government
News,
Politics,
Tech News
https://assets.pippa.io/shows/61e878a1419a9b0013b27134/1751056469851-7ca89c10-0303-4832-afd6-41fa8890ede7.jpeg
Caleb Withers on the Cybersecurity Frontier in the Age of AI
Scaling Laws
48 minutes 17 seconds
1 month ago
Caleb Withers on the Cybersecurity Frontier in the Age of AI

Caleb Withers, a researcher at the Center for a New American Security, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss how frontier models shift the balance in favor of attackers in cyberspace. The two discuss how labs and governments can take steps to address these asymmetries favoring attackers, and the future of cyber warfare driven by AI agents.Jack Mitchell, a student fellow in the AI Innovation and Law Program at the University of Texas School of Law, provided excellent research assistance on this episode.


Check out Caleb’s recent research here.


Hosted on Acast. See acast.com/privacy for more information.

Scaling Laws
Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

Hosted on Acast. See acast.com/privacy for more information.