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Steven Adler, former OpenAI safety researcher, author of Clear-Eyed AI on Substack, and independent AGI-readiness researcher, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Fellow at Lawfare, to assess the current state of AI testing and evaluations. The two walk through Steven’s views on industry efforts to improve model testing and what he thinks regulators ought to know and do when it comes to preventing AI harms.
Thanks to Leo Wu for research assistance!
Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.
To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.
Support this show http://supporter.acast.com/lawfare.
Hosted on Acast. See acast.com/privacy for more information.
By The Lawfare Institute4.7
61796,179 ratings
Steven Adler, former OpenAI safety researcher, author of Clear-Eyed AI on Substack, and independent AGI-readiness researcher, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Fellow at Lawfare, to assess the current state of AI testing and evaluations. The two walk through Steven’s views on industry efforts to improve model testing and what he thinks regulators ought to know and do when it comes to preventing AI harms.
Thanks to Leo Wu for research assistance!
Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.
To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.
Support this show http://supporter.acast.com/lawfare.
Hosted on Acast. See acast.com/privacy for more information.

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