{"id":11519,"date":"2020-07-26T15:33:10","date_gmt":"2020-07-26T19:33:10","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11519"},"modified":"2020-07-26T15:33:10","modified_gmt":"2020-07-26T19:33:10","slug":"mit-apologizes-permanently-pulls-offline-huge-dataset-that-taught-ai-systems-to-use-racist-misogynistic-slurs","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/mit-apologizes-permanently-pulls-offline-huge-dataset-that-taught-ai-systems-to-use-racist-misogynistic-slurs\/11519\/","title":{"rendered":"MIT Apologizes, Permanently Pulls Offline Huge Dataset That Taught AI Systems To Use Racist, Misogynistic Slurs"},"content":{"rendered":"Originally published in The Register, July 1, 2020 Top uni takes action after El Reg highlights concerns by academics. Special report MIT has taken offline its highly cited dataset that trained AI systems to potentially describe people using racist, misogynistic, and other problematic terms. The database was removed this week after The Register alerted the American super-college. MIT also urged researchers and developers to stop using the training library, and to delete any copies. &#8220;We sincerely apologize,&#8221; a professor told us. The training set, built by the university, has been used to teach machine-learning models to automatically identify <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/mit-apologizes-permanently-pulls-offline-huge-dataset-that-taught-ai-systems-to-use-racist-misogynistic-slurs\/11519\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in The Register, July 1, 2020 Top uni takes action after El Reg highlights concerns by academics. Special report MIT has taken offline its highly cited dataset that trained AI systems to potentially describe people using racist, misogynistic, and other problematic terms. The database was removed this week after The Register alerted the [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-11519","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=11519"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11519\/revisions"}],"predecessor-version":[{"id":11520,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11519\/revisions\/11520"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11519"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11519"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}