This is an old revision of this page, as edited by BoyTheKingCanDance (talk | contribs) at 09:33, 10 December 2024 (Creating a proper lede as per WP:LAYOUT and MOS:LEAD (which states: “The lead should stand on its own as a concise overview of the article's topic.”).). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Revision as of 09:33, 10 December 2024 by BoyTheKingCanDance (talk | contribs) (Creating a proper lede as per WP:LAYOUT and MOS:LEAD (which states: “The lead should stand on its own as a concise overview of the article's topic.”).)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff) | This article does not cite any sources. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Machine unlearning" – news · newspapers · books · scholar · JSTOR (December 2024) (Learn how and when to remove this message) |
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unlearning is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up.
History
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.
References
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