Image de couverture de livre

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

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	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
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://arxiv.org/abs/2412.06966