{"id":101996,"date":"2016-11-19T23:24:20","date_gmt":"2016-11-19T23:24:20","guid":{"rendered":"https:\/\/gerdtestpress.online\/?guid=9b4f12423264270f9846f67e28baf35b"},"modified":"2016-11-19T23:24:20","modified_gmt":"2016-11-19T23:24:20","slug":"troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features","status":"publish","type":"post","link":"https:\/\/futuristgerd.com\/de\/2016\/11\/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features\/","title":{"rendered":"Beunruhigende Studie besagt, dass k\u00fcnstliche Intelligenz anhand von Gesichtsmerkmalen vorhersagen kann, wer kriminell sein wird"},"content":{"rendered":"<div class=\"posthaven-post-body\">\n<div>\u201cKate Crawford, an AI researcher with Microsoft Research New York, MIT, and NYU, told The Intercept, \u201cI\u2018d call this paper literal phrenology, it\u2019s just using modern tools of supervised machine learning instead of calipers. It\u2019s dangerous pseudoscience.\u201d<\/p>\n<p>Crawford cautioned that \u201cas we move further into an era of police body cameras and predictive policing, it\u2019s important to critically assess the problematic and unethical uses of machine learning to make spurious correlations,\u201d adding that it\u2019s clear the authors \u201cknow it\u2019s ethically and scientifically problematic, but their \u2018curiosity\u2019 was more important.\u201d\u201d<\/p>\n<p>Troubling Study Says Artificial Intelligence Can Predict Who Will Be Criminals Based on Facial Features<br \/><a href=\"https:\/\/theintercept.com\/2016\/11\/18\/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features\/\">https:\/\/theintercept.com\/2016\/11\/18\/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features\/<\/a><br \/>via Instapaper<\/div>\n<div>\n        <\/p>\n<div class=\"posthaven-gallery\" id=\"posthaven_gallery[1116627]\">\n<p class=\"posthaven-file posthaven-file-image posthaven-file-state-processed\">\n          <img decoding=\"async\" class=\"posthaven-gallery-image\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1803668\/y9n1R9Z18-lqh4Rrx86fGaiBNpA\/medium_image1.PNG\" \/>\n        <\/p>\n<p class=\"posthaven-file posthaven-file-image posthaven-file-state-processed\">\n          <img decoding=\"async\" class=\"posthaven-gallery-image\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1803667\/bHzzlllgfEuOPL6ON9tVQXhNG-4\/medium_image2.PNG\" \/>\n        <\/p>\n<\/p><\/div>\n<p><\/p>\n<div><\/div>\n<div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<div>\n<div>\"Kate Crawford, KI-Forscherin bei Microsoft Research New York, am MIT und an der NYU, sagte gegen\u00fcber The Intercept: \"Ich w\u00fcrde diese Arbeit als buchst\u00e4bliche Phrenologie bezeichnen, sie verwendet nur moderne Werkzeuge des \u00fcberwachten maschinellen Lernens anstelle von Messschiebern. Das ist gef\u00e4hrliche Pseudowissenschaft.\"<\/p>\n<p>Crawford warnte, dass \"wir uns weiter in die \u00c4ra der Polizeik\u00f6rperkameras und der vorausschauenden Polizeiarbeit hineinbewegen und es wichtig ist, die problematische und unethische Verwendung des maschinellen Lernens zur Herstellung falscher Korrelationen kritisch zu bewerten\", und f\u00fcgte hinzu, dass es klar ist, dass die Autoren \"wissen, dass es ethisch und wissenschaftlich problematisch ist, aber ihre 'Neugier' war wichtiger\".<\/p>\n<p>Beunruhigende Studie besagt, dass k\u00fcnstliche Intelligenz anhand von Gesichtsmerkmalen vorhersagen kann, wer kriminell sein wird<br \/><a href=\"https:\/\/theintercept.com\/2016\/11\/18\/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features\/\">https:\/\/theintercept.com\/2016\/11\/18\/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features\/<\/a><br \/>\u00fcber Instapaper<\/div>\n<div>\n<\/p>\n<div>\n<p>\n          <img decoding=\"async\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1803668\/y9n1R9Z18-lqh4Rrx86fGaiBNpA\/medium_image1.PNG\"><\/p>\n<p>\n          <img decoding=\"async\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1803667\/bHzzlllgfEuOPL6ON9tVQXhNG-4\/medium_image2.PNG\"><\/p>\n<\/p><\/div>\n<p><\/p>\n<div><\/div>\n<div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"author":38,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_analytify_skip_tracking":false,"footnotes":""},"categories":[1116],"tags":[],"class_list":["post-101996","post","type-post","status-publish","format-standard","hentry","category-digital-ethics","masonry-post","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"acf":[],"_links":{"self":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/posts\/101996","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/comments?post=101996"}],"version-history":[{"count":0,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/posts\/101996\/revisions"}],"wp:attachment":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/media?parent=101996"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/categories?post=101996"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/tags?post=101996"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}