3 citations · 9 across the 6 of their papers we have counts for
6 papers
Extracting memorized pieces of (copyrighted) books from open-weight language models
A. Feder Cooper, Mark A. Lemley, Allison Casasola +6
Plaintiffs and defendants in copyright lawsuits over generative AI often make sweeping, opposing claims about the extent to which large language models (LLMs) memorize protected ex…
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen +34
"Machine unlearning" is a popular proposed solution for mitigating the existence of content in an AI model that is problematic for legal or moral reasons, including privacy, copyri…
Report of the 1st Workshop on Generative AI and Law
A. Feder Cooper, Katherine Lee, James Grimmelmann +32
This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw), held in July 2023. A cross-disciplinary group of practitioners and scholars from com…
Is Patent Law Technology Specific?
Dan L. Burk, Mark A. Lemley
Although patent law purports to cover all manner of technologies, we have noticed recent divergence in the standards applied to biotechnology and to software patents: the Federal C…
ICANN and Antitrust
A. Michael Froomkin, Mark A. Lemley
The Internet Corporation for Assigned Names and Numbers (ICANN) is a private non-profit company which, pursuant to contracts with the US government, acts as the de facto regulator…
Antitrust, Intellectual Property and Standard-Setting Organizations
Mark A. Lemley
Standard-setting organizations (SSOs) regularly encounter situations in which one or more companies claim to own proprietary rights that cover a proposed industry standard. The ind…