AI versus IP

Rewriting Creativity

Robin Feldman (University of California Hastings College of Law)

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Paperback

Forthcoming
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English

Cambridge University Press
30 July 2025

Intellectual property law; Impact of science & technology on society; Ethical & social aspects of computing; Legal aspects of computing; Artificial intelligence

As artificial intelligence continues to advance, it poses a threat to the very foundations of intellectual property. In AI versus IP, Robin Feldman offers a balanced perspective on the challenges we face at the intersections of AI and IP. The book examines how the advancement of AI threatens to undermine what we choose to protect with intellectual property, such as patents, trademarks, copyrights, and trade secrets, and how it derives its value. Using analogies such as the value of diamonds and the myths that support intangible rights, the book proposes potential solutions to ensure a peaceful co-existence between AI and IP. AI and IP can co-exist, Feldman argues, but only with effort and forethought.

By: Robin Feldman (University of California Hastings College of Law)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
ISBN: 9781009646840
ISBN 10: 1009646842
Pages: 280
Publication Date: 30 July 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Forthcoming

Introduction; Part I. Background on AI and IP: 1. An overview of artificial intelligence; 2. An overview of intellectual property; Part II. Hot Topics in AI and IP: 3. Do training models infringe copyright?; 4. What to do when AI creates; 5. Right of publicity and deep fakes; Part III. The Deeper Problem for IP: 6. Shrinking the pool; 7. Shrinking the value proposition; Part IV. Pathways Forward: 8. The allegory of the diamond; 9. Preserving value by limiting; 10. Preserving value by certification; Conclusion.

Robin Feldman is the Director of the AI Law & Innovation Institute at the University of California Law, San Fransisco. Over the last decade, she has provided technical advice on AI policy to the US government, including to various committees of Congress, the Army Cyber Institute, the GAO, and other federal and state agencies.