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

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

9 December 2024

A. Feder Cooper

Christopher A. Choquette-Choo

Matthew Jagielski

Katja Filippova

Alexandra Chouldechova

Niloofar Mireshghallah

Eleni Triantafillou

Nicole Mitchell

Fernando A. Delgado

James Grimmelmann

Vitaly Shmatikov

Christopher De Sa

Abigail Z. Jacobs

Hanna M. Wallach

Nicolas Papernot

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

2 / 2 papers shown

Title
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU Àlex Pujol Vidal Sergio Escalera Kamal Nasrollahi T. Moeslund MU 64 0 0 19 Mar 2025
Societal Alignment Frameworks Can Improve LLM Alignment Karolina Stañczak Nicholas Meade Mehar Bhatia Hattie Zhou Konstantin Böttinger ... Timothy P. Lillicrap Ana Marasović Sylvie Delacroix Gillian K. Hadfield Siva Reddy 176 0 0 27 Feb 2025