This is an old revision of this page, as edited by DancingPhilosopher (talk | contribs) at 09:29, 10 December 2024. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Revision as of 09:29, 10 December 2024 by DancingPhilosopher (talk | contribs)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)Machine unlearning is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up. Early research efforts were largely motivated by Article 17 of the GDPR, the European Union's privacy regulation commonly known as the "right to be forgotten" (RTBF), introduced in 2014.
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