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HEADLINE: AI Regulation Debate: Premature Laws vs. Emerging Norms GUEST NAME: Kevin Frazier SUMMARY: Kevin Frazier critiques the legislative rush to regulate AI, arguing that developing norms might be more effective than premature laws. He notes that bill

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Manage episode 513866941 series 96788
Content provided by Audioboom and John Batchelor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Audioboom and John Batchelor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
HEADLINE: AI Regulation Debate: Premature Laws vs. Emerging Norms GUEST NAME: Kevin Frazier SUMMARY: Kevin Frazier critiques the legislative rush to regulate AI, arguing that developing norms might be more effective than premature laws. He notes that bills like California's AB 1047, which demands factual accuracy, fundamentally misunderstand AI's generative nature. Imposing vague standards, as seen in New York's RAISE Act, risks chilling innovation and preventing widespread benefits, like affordable legal or therapy tools. Frazier emphasizes that AI policy should be grounded in empirical data rather than speculative fears.
1958
  continue reading

51687 episodes

Artwork
iconShare
 
Manage episode 513866941 series 96788
Content provided by Audioboom and John Batchelor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Audioboom and John Batchelor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
HEADLINE: AI Regulation Debate: Premature Laws vs. Emerging Norms GUEST NAME: Kevin Frazier SUMMARY: Kevin Frazier critiques the legislative rush to regulate AI, arguing that developing norms might be more effective than premature laws. He notes that bills like California's AB 1047, which demands factual accuracy, fundamentally misunderstand AI's generative nature. Imposing vague standards, as seen in New York's RAISE Act, risks chilling innovation and preventing widespread benefits, like affordable legal or therapy tools. Frazier emphasizes that AI policy should be grounded in empirical data rather than speculative fears.
1958
  continue reading

51687 episodes

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