Uploaded August 2023 | Updated September 2026, 4 hours ago
Abstract: There are now 10 lawsuits, most of them brought as class actions, challenging generative AI developers on copyright, privacy, and other grounds. The most common claim is that ingesting in-copyright works as data for training models for generative AI systems is illegal, as are outputs claimed as infringements of copyright's derivative work right. This talk assesses the strengths and weaknesses of the legal claims & what remedies are being sought if plaintiffs succeed.
Speaker: Pamela Samuelson/Berkeley Law Professor
Bio: https://www.law.berkeley.edu/our-faculty/faculty-profiles/pamela-samuelson/#tab_profile
Abstract: There are now 10 lawsuits, most of them brought as class actions, challenging generative AI developers on copyright, privacy, and other grounds. The most common claim is that ingesting in-copyright works as data for training models for generative AI systems is illegal, as are outputs claimed as infringements of copyright's derivative work right. This talk assesses the strengths and weaknesses of the legal claims & what remedies are being sought if plaintiffs succeed.
Speaker: Pamela Samuelson/Berkeley Law Professor
Bio: https://www.law.berkeley.edu/our-faculty/faculty-profiles/pamela-samuelson/#tab_profile
