{"id":8944,"date":"2017-09-23T07:50:31","date_gmt":"2017-09-23T11:50:31","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8944"},"modified":"2017-10-09T23:02:04","modified_gmt":"2017-10-10T03:02:04","slug":"gaydar-study-real-dangers-big-data","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/gaydar-study-real-dangers-big-data\/8944\/","title":{"rendered":"The AI \u201cGaydar\u201d Study and the Real Dangers of Big Data"},"content":{"rendered":"Originally published in The New Yorker Editor&#8217;s note: Keep in mind that the high &#8220;accuracies&#8221; such as 81%, as reported by this research up front, are misleading. The model is effective, with a lift around 7 at 10%, but the &#8220;accuracy&#8221; measure is over a hypothetical sample that is 50\/50 positive\/negative, which is not the case in the general distribution (sourcing such a sample would require another non-existent model in the first place). However, our intent in including coverage of this work is to share the ethical ramifications rather than the technical performance. Every\u00a0face does not tell a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/gaydar-study-real-dangers-big-data\/8944\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in The New Yorker Editor&#8217;s note: Keep in mind that the high &#8220;accuracies&#8221; such as 81%, as reported by this research up front, are misleading. The model is effective, with a lift around 7 at 10%, but the &#8220;accuracy&#8221; measure is over a hypothetical sample that is 50\/50 positive\/negative, which is not 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],"tags":[],"class_list":["post-8944","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8944","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=8944"}],"version-history":[{"count":8,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8944\/revisions"}],"predecessor-version":[{"id":8995,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8944\/revisions\/8995"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}