{"id":12257,"date":"2021-08-26T08:08:53","date_gmt":"2021-08-26T12:08:53","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12257"},"modified":"2021-08-26T08:08:53","modified_gmt":"2021-08-26T12:08:53","slug":"twitter-ai-bias-contest-shows-beauty-filters-hoodwink-the-algorithm","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/twitter-ai-bias-contest-shows-beauty-filters-hoodwink-the-algorithm\/12257\/","title":{"rendered":"Twitter AI Bias Contest Shows Beauty Filters Hoodwink the Algorithm"},"content":{"rendered":"Originally published in CNET.com, Aug 9, 2021. The service&#8217;s algorithm for cropping photos favors people with slimmer, younger faces and lighter skin. A researcher at Switzerland&#8217;s EPFL technical university won a $3,500 prize for determining that a key Twitter algorithm favors faces that look slim and young and with skin that is lighter-colored or with warmer tones. Twitter announced on Sunday it awarded the prize to\u00a0Bogdan Kulynych, a graduate student examining privacy, security, AI and society. Twitter sponsored the contest to find problems in the &#8220;saliency&#8221; algorithm it uses to crop the photos it shows on your Twitter <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/twitter-ai-bias-contest-shows-beauty-filters-hoodwink-the-algorithm\/12257\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in CNET.com, Aug 9, 2021. The service&#8217;s algorithm for cropping photos favors people with slimmer, younger faces and lighter skin. A researcher at Switzerland&#8217;s EPFL technical university won a $3,500 prize for determining that a key Twitter algorithm favors faces that look slim and young and with skin that is lighter-colored or with [&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":[879,1104,368,857,243,8],"class_list":["post-12257","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-ai-bias","tag-artificial-intelligence","tag-data-analysis","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12257","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=12257"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12257\/revisions"}],"predecessor-version":[{"id":12259,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12257\/revisions\/12259"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12257"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12257"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}