{"id":14279,"date":"2020-06-24T17:50:00","date_gmt":"2020-06-24T14:50:00","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/tech-community-rallies-against-racial-bias-of-facial-recognition-programs\/"},"modified":"2020-06-24T17:50:00","modified_gmt":"2020-06-24T14:50:00","slug":"tech-community-rallies-against-racial-bias-of-facial-recognition-programs","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/tech-community-rallies-against-racial-bias-of-facial-recognition-programs\/","title":{"rendered":"#Tech community rallies against \u2018racial bias\u2019 of facial-recognition programs"},"content":{"rendered":"

“#Tech community rallies against \u2018racial bias\u2019 of facial-recognition programs<\/strong>”<\/p>\n

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June 24, 2020 |<\/span> 10:50am <\/p>\n

\n Here\u2019s a facial-recognition algorithm that critics say shouldn\u2019t be taken at face value.<\/p>\n

On Tuesday, a group of more than 1,000 tech professionals \u2014 including artificial intelligence, machine learning, law and anthropology researchers \u2014 published a public letter bashing a forthcoming paper detailing the development of a facial-recognition program that claimed to predict if someone would be a criminal.<\/p>\n

The issue? The letter\u2019s many signers agreed that criminality can\u2019t be predicted without prejudice, despite the report\u2019s claim of \u201c80% accuracy and with no racial bias,\u201d and compared the method to long debunked \u201crace science<\/a>.\u201d<\/p>\n

The paper \u2014 by two professors and a graduate student at Harrisburg University in Pennsylvania \u2014 was set be published by Springer Nature in an upcoming collection, Wired reports.<\/p>\n

However, a May press release from the university teasing its publication has since been deleted \u2014 and now, Springer Nature has tweeted that it won\u2019t publish the paper.<\/p>\n

The 1,000-plus group of people who signed the letter, collectively calling themselves the Coalition for Critical Technology<\/a>, say the Harrisburg University study has claims that \u201care based on unsound scientific premises, research, and methods which .\u2009.\u2009. have [been] debunked over the years.\u201d They add that, due to racial biases in US policing, any new algorithm purporting to predict criminality inevitably begets those systemic biases.<\/p>\n

This isn\u2019t the first time a facial-recognition program for criminality has caused alarm. In June, Amazon banned police from using its facial-recognition software, Rekognition, for a year in an effort for Congress to regulate the technology. Studies have shown that Rekognition misidentifies African-American and Asian people more frequently than whites. And in late 2019, a US government-led study concluded that facial-recognition programs misidentify people of color more often \u2014 with \u201cdemographic differentials,\u201d making people of color more vulnerable, in part, to false accusations.<\/p>\n

\u201cCrime is one of the most prominent issues in modern society,\u201d Harrisburg Ph.D. student Jonathan W. Korn \u2014 a former New York police officer \u2014 said in the since-deleted press release, Wired reports. \u201cThe development of machines that are capable of performing cognitive tasks, such as identifying the criminality of [a] person from their facial image, will enable a significant advantage for law enforcement agencies and other intelligence agencies to prevent crime from occurring in their designated areas.\u201d<\/p>\n

Korn and another paper co-author, Nathaniel Ashby, didn\u2019t respond to Wired\u2019s requests for comment. Springer Nature also didn\u2019t respond to their request for comment.\n <\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n

Source<\/a><\/span><\/p>\n

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“#Tech community rallies against \u2018racial bias\u2019 of facial-recognition programs” June 24, 2020 | 10:50am Here\u2019s a facial-recognition algorithm that critics say shouldn\u2019t be taken at face value. On Tuesday, a group of more than 1,000 tech professionals \u2014 including artificial intelligence, machine learning, law and anthropology researchers \u2014 published a public letter bashing a forthcoming…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[1],"tags":[26882],"class_list":["post-14279","post","type-post","status-publish","format-standard","hentry","category-general","tag-tech-community-rallies-against-racial-bias-of-facial-recognition-programs"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/14279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=14279"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/14279\/revisions"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=14279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=14279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=14279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}