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AI Copyright Lawsuits with Pam Samuelson

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Manage episode 506690094 series 3347538
Content provided by Lawfare and University of Texas Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lawfare and University of Texas Law School 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.

On today's Scaling Laws episode, Alan Rozenshtein sat down with Pam Samuelson, the Richard M. Sherman Distinguished Professor of Law at the University of California, Berkeley, School of Law, to discuss the rapidly evolving legal landscape at the intersection of generative AI and copyright law. They dove into the recent district court rulings in lawsuits brought by authors against AI companies, including Bartz v. Anthropic and Kadrey v. Meta. They explored how different courts are treating the core questions of whether training AI models on copyrighted data is a transformative fair use and whether AI outputs create a “market dilution” effect that harms creators. They also touched on other key cases to watch and the role of the U.S. Copyright Office in shaping the debate.

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182 episodes

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AI Copyright Lawsuits with Pam Samuelson

Scaling Laws

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Manage episode 506690094 series 3347538
Content provided by Lawfare and University of Texas Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lawfare and University of Texas Law School 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.

On today's Scaling Laws episode, Alan Rozenshtein sat down with Pam Samuelson, the Richard M. Sherman Distinguished Professor of Law at the University of California, Berkeley, School of Law, to discuss the rapidly evolving legal landscape at the intersection of generative AI and copyright law. They dove into the recent district court rulings in lawsuits brought by authors against AI companies, including Bartz v. Anthropic and Kadrey v. Meta. They explored how different courts are treating the core questions of whether training AI models on copyrighted data is a transformative fair use and whether AI outputs create a “market dilution” effect that harms creators. They also touched on other key cases to watch and the role of the U.S. Copyright Office in shaping the debate.

Mentioned in this episode:


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

  continue reading

182 episodes

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