Talk Title: “Generative AI Meets Copyright”
Speaker: Pamela Samuelson, Richard M. Sherman Distinguished Professor of Law, UC Berkeley
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Abstract: The question that has intrigued copyright professionals since the mid-1960s is whether computer-generated texts and images would be eligible for this law’s protection. Early on, the consensus was that artificial intelligence (AI) is just a tool, like a camera, so humans could claim copyright in machine-generated outputs to which they made contributions. Now the consensus is that AI-generated texts and images are not copyrightable for the lack of a human author. The urgent questions today focus on whether ingesting in-copyright works as training data is copyright infringement and whether the outputs of AI programs are infringing derivative works of the ingested images. Four recent lawsuits, one involving GitHub’s Copilot and three involving Stable Diffusion, will address these issues.
Speaker Bio: Pamela Samuelson has been a member of the UC Berkeley School of Law faculty since 1996. She has written and spoken extensively about the challenges that new information technologies pose for traditional legal regimes, especially for intellectual property law. She is a member of the American Academy of Arts & Sciences, a fellow of the Association for Computing Machinery (ACM), a contributing editor of Communications of the ACM, a past fellow of the John D. & Catherine T. MacArthur Foundation, a member of the American Law Institute, and an honorary professor of the University of Amsterdam.
About the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab.
About the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Free and open to the public, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series.
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