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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Cooper, A. Feder, Choquette-Choo, Christopher A., Bogen, Miranda, Klyman, Kevin, Jagielski, Matthew, Filippova, Katja, Liu, Ken, Chouldechova, Alexandra, Hayes, Jamie, Huang, Yangsibo, Triantafillou, Eleni, Kairouz, Peter, Mitchell, Nicole Elyse, Mireshghallah, Niloofar, Jacobs, Abigail Z., Grimmelmann, James, Shmatikov, Vitaly, De Sa, Christopher, Shumailov, Ilia, Terzis, Andreas, Barocas, Solon, Vaughan, Jennifer Wortman, boyd, danah, Choi, Yejin, Koyejo, Sanmi, Delgado, Fernando, Liang, Percy, Ho, Daniel E., Samuelson, Pamela, Brundage, Miles, Bau, David, Neel, Seth, Wallach, Hanna, Cyphert, Amy B., Lemley, Mark A., Papernot, Nicolas, Lee, Katherine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
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