| Revision as of 09:31, 10 December 2024 editBoyTheKingCanDance (talk | contribs)Extended confirmed users, Page movers, New page reviewers, Pending changes reviewers172,331 edits Added tags to the page using Page Curation (unreferenced)Tag: PageTriage← Previous edit | Revision as of 09:33, 10 December 2024 edit undoBoyTheKingCanDance (talk | contribs)Extended confirmed users, Page movers, New page reviewers, Pending changes reviewers172,331 edits 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.”).Next edit → | ||
| Line 1: | Line 1: | ||
| {{unreferenced|date=December 2024}} | {{unreferenced|date=December 2024}} | ||
| '''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unlearning''' is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up.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 ], the European Union's privacy regulation commonly known as the "right to be forgotten" (RTBF), introduced in 2014. | '''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unlearning''' is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up.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 ], the European Union's privacy regulation commonly known as the "right to be forgotten" (RTBF), introduced in 2014. | |||
| == References == | == References == | ||
Revision as of 09:33, 10 December 2024
 | 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unlearning is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up.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
 | This article needs additional or more specific categories. Please help out by adding categories to it so that it can be listed with similar articles. (December 2024) |