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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
Miranda Bogen
Matthew Jagielski
Katja Filippova
Ken Ziyu 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 A. Delgado
James Grimmelmann
Vitaly Shmatikov
Christopher De Sa
Solon Barocas
Amy Cyphert
Mark A. Lemley
danah boyd
J. W. Vaughan
Miles Brundage
David Bau
Seth Neel
Abigail Z. Jacobs
Andreas Terzis
Hanna M. Wallach
Nicolas Papernot
Katherine Lee
    AILaw
    MU
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Papers citing "Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice"

1 / 1 papers shown
Title
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
46
0
0
27 Feb 2025
1