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Watch a thought-provoking lecture from UC Berkeley's Pam Samuelson examining the complex intersection of copyright law and generative AI technologies. Explore the landscape of thirty ongoing lawsuits challenging the legality of training AI models with copyrighted materials, with particular focus on fair use defense strategies. Learn about current judicial decisions, remaining legal challenges, and why existing precedents may not fully support AI developers' positions. Understand the significant stakes involved, including potential large damage awards and court orders for model destruction. Gain insight into how these legal battles could impact academic research and AI development, including aspects currently overlooked by courts. Delve into critical discussions about alignment, trust, watermarking, and broader copyright issues affecting Large Language Models in the evolving AI landscape.
Syllabus
Will Copyright Derail Generative AI Technologies?
Taught by
Simons Institute