{"id":13436,"date":"2024-03-08T16:04:41","date_gmt":"2024-03-08T21:04:41","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13436"},"modified":"2025-10-22T04:22:57","modified_gmt":"2025-10-22T08:22:57","slug":"we-definitely-messed-up-why-did-google-ai-tool-make-offensive-historical-images","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/we-definitely-messed-up-why-did-google-ai-tool-make-offensive-historical-images\/13436\/","title":{"rendered":"\u2018We Definitely Messed Up\u2019: Why Did Google AI Tool Make Offensive Historical Images?"},"content":{"rendered":"Originally published in The Guardian, March 8, 2024.\u00a0 Experts say Gemini was not thoroughly tested, after image generator depicted variety of historical figures as people of color. Google\u2019s co-founder Sergey Brin has kept a low profile since quietly returning to work at the company. But the troubled launch of Google\u2019s artificial intelligence model Gemini resulted in a rare public utterance recently: \u201cWe definitely messed up.\u201d Brin\u2019s\u00a0comments, at an AI \u201chackathon\u201d event on 2 March, follow a slew of social media posts showing Gemini\u2019s image generation tool depicting a variety of historical figures \u2013 including popes, founding fathers of <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/we-definitely-messed-up-why-did-google-ai-tool-make-offensive-historical-images\/13436\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in The Guardian, March 8, 2024.\u00a0 Experts say Gemini was not thoroughly tested, after image generator depicted variety of historical figures as people of color. Google\u2019s co-founder Sergey Brin has kept a low profile since quietly returning to work at the company. But the troubled launch of Google\u2019s artificial intelligence model Gemini resulted [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,1350,243],"class_list":["post-13436","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-image-generator","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13436","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=13436"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13436\/revisions"}],"predecessor-version":[{"id":13437,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13436\/revisions\/13437"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}