{"id":798309,"date":"2021-04-15T11:21:23","date_gmt":"2021-04-15T11:21:23","guid":{"rendered":"https:\/\/telecomlive.in\/web\/2021\/04\/15\/twitter-launches-initiative-to-analyze-its-algorithm-fairness-on-social-media\/"},"modified":"2021-04-15T11:21:23","modified_gmt":"2021-04-15T11:21:23","slug":"twitter-launches-initiative-to-analyze-its-algorithm-fairness-on-social-media","status":"publish","type":"post","link":"https:\/\/telecomlive.in\/web\/2021\/04\/15\/twitter-launches-initiative-to-analyze-its-algorithm-fairness-on-social-media\/","title":{"rendered":"Twitter launches initiative to analyze its algorithm fairness on social media"},"content":{"rendered":"<p>Twitter said Wednesday it was launching an initiative on &#8220;responsible machine learning&#8221; that will include reviews of algorithmic fairness on the social media platform.<\/p>\n<p>The California messaging service said the plan aims to offer more transparency in its artificial intelligence and tackle &#8220;the potential harmful effects of algorithmic decisions.&#8221;<\/p>\n<p>The move comes amid heightened concerns over algorithms used by online services, which some say can promote violence or extremist content or reinforce racial or gender bias.<\/p>\n<p>&#8220;Responsible technological use includes studying the effects it can have over time,&#8221; said a blog post by Jutta Williams and Rumman Chowdhury of Twitter&#8217;s ethics and transparency team.<\/p>\n<p>&#8220;When Twitter uses (machine learning), it can impact hundreds of millions of tweets per day and sometimes, the way a system was designed to help could start to behave differently than was intended.&#8221;<\/p>\n<p>The initiative calls for &#8220;taking responsibility for our algorithmic decisions&#8221; with the aim of &#8220;equity and fairness of outcomes,&#8221; according to the researchers.<\/p>\n<p>&#8220;We&#8217;re also building explainable ML solutions so you can better understand our algorithms, what informs them, and how they impact what you see on Twitter.&#8221;<\/p>\n<p>Williams and Chowdhury said the team would be sharing what it learns with outside researchers &#8220;to improve the industry&#8217;s collective understanding of this topic, help us improve our approach, and hold us accountable.&#8221;<\/p>\n<p>The Twitter move follows a series of controversies at Google&#8217;s AI ethics team which resulted in the firing of two top researchers and the resignation of a high-ranking scientist.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Twitter said Wednesday it was launching an initiative on &#8220;responsible machine learning&#8221; that will include reviews of algorithmic fairness on the social media platform. The California messaging service said the plan aims to offer more transparency in its artificial intelligence and tackle &#8220;the potential harmful effects of algorithmic decisions.&#8221; The move comes amid heightened concerns over algorithms used by online services, which some say can promote violence or extremist content or reinforce racial or gender bias. &#8220;Responsible technological use includes studying the effects it can have over time,&#8221; said a blog post by Jutta Williams and Rumman Chowdhury of Twitter&#8217;s [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-798309","post","type-post","status-publish","format-standard","hentry","category-it-2"],"acf":[],"_links":{"self":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/798309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/comments?post=798309"}],"version-history":[{"count":0,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/798309\/revisions"}],"wp:attachment":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/media?parent=798309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/categories?post=798309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/tags?post=798309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}