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Sanmi Koyejo

Stanford University

367 Panama St

Stanford, CA 94305

United States

  • Stanford University

SCHOLARLY PAPERS

4

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1,395

TOTAL CITATIONS

2

Scholarly Papers (4)

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1.

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

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Citation 2

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

Stanford Public Law Working Paper
Number of pages: 30 Posted: 13 Jun 2025 Last Revised: 31 Oct 2025
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Niloofar Mireshghallah, Abigail Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, Danah Boyd, Yejin Choi, Sanmi Koyejo, Fernando Delgado, Percy Liang, Daniel E. Ho, Pamela Samuelson, Yangsibo Huang, Hanna Wallach, Miles Brundage, Amy Cyphert, David Bau, Mark A. Lemley, Seth Neel, Nicolas Papernot and Katherine Lee
Yale University, Google DeepMind, Independent, affiliation not provided to SSRN, Google DeepMind, Google DeepMind, Stanford University, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management, Google DeepMind, Google DeepMind, Google Research, Google Research, University of Washington - Paul G. Allen School of Computer Science & Engineering, University of Michigan at Ann Arbor, Cornell Law School, Cornell University - Cornell Tech NYC, Cornell University - Department of Computer Science, Google DeepMind, Google DeepMind, Microsoft ResearchCornell University, Microsoft Research New York City, Microsoft Research, University of Washington, Stanford University, Cornell University, Stanford University - Department of Computer Science, Stanford University, University of California, Berkeley - School of Law, Google Research, Microsoft Research New York City, Independent, West Virginia University - College of Law, Northeastern Univeristy, Stanford Law School, University of Pennsylvania - Statistics Department, University of Toronto and Cornell University - Department of Computer Science
Downloads 562 (122,393)

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machine learning, generative AI, copyright, privacy, safety, machine unlearning

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

Yale Law & Economics Research Paper, Stanford Public Law Working Paper, WVU College of Law Research Paper No. 2025-004
Number of pages: 35 Posted: 06 Feb 2025 Last Revised: 14 Jun 2025
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, Danah Boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot and Katherine Lee
Yale University, Google DeepMind, Independent, Google DeepMind, Google DeepMind, Stanford University, Independent, Google DeepMind, Google Research, University of Washington - Paul G. Allen School of Computer Science & Engineering, Google DeepMind, Google DeepMind, Google Research, Google Research, Stanford University - Department of Computer Science, Stanford Law School, University of Washington, Stanford University, Cornell University, Cornell Law School, Cornell University - Cornell Tech NYC, Cornell University - Department of Computer Science, Microsoft ResearchCornell University, West Virginia University - College of Law, Stanford Law School, Microsoft Research, Microsoft Research New York City, Independent, Northeastern Univeristy, University of Pennsylvania - Statistics Department, University of Michigan at Ann Arbor, Google DeepMind, Microsoft Research New York City, University of Toronto and Cornell University - Department of Computer Science
Downloads 516 (140,772)
Citation 2

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machine unlearning, privacy, copyright, safety, Generative AI

2.

Ai-Driven Environmental Data Extraction for Energy Sector Assessment

Number of pages: 14 Posted: 25 Oct 2024
Zhenlin Chen, Roujia Zhong, Wennan Long, Haoyu Tang, Anjing Wang, Zemin Eitan Liu, Xuelin Yang, Bo Ren, James Littlefield, Sanmi Koyejo, Mohammad S. Masnadi and Adam Brandt
Stanford University, Stanford University, University of Pittsburgh, Stanford University, affiliation not provided to SSRN, University of Pittsburgh, Stanford University, Aramco Americas, Aramco Research Center, Stanford University, University of Pittsburgh and Stanford University - Department of Energy Resources Engineering
Downloads 117 (613,149)

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Artificial intelligence, large language models, carbon intensity, supervised learning, oil and gas field, greenhouse gas emissions

3.

Extracting Books from Production Language Models

Number of pages: 40 Posted: 12 Jan 2026
Ahmed Ahmed, A. Feder Cooper, Percy Liang and Sanmi Koyejo
Stanford University, Yale University, Stanford University - Department of Computer Science and Stanford University
Downloads 114 (630,858)

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4.

The End of Vibe Adoption: Whitepaper on AI Security & Latest Research

Number of pages: 21 Posted: 03 Apr 2026
Sanmi Koyejo, Rajiv Dattani, Keri Pearlson and Emil Lassen
Stanford University, Independent, Massachusetts Institute of Technology (MIT) - Sloan School of Management and Artificial Intelligence Underwriting Company
Downloads 86 (899,324)

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Artificial Intelligence, AI adoption, Enterprise, AI security, Governance, AI agents, CISO