{"id":5467,"date":"2022-03-03T17:10:00","date_gmt":"2022-03-03T17:10:00","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2022\/03\/03\/new-mit-technique-aims-to-boost-fairness-within-machine-learning-models-healthitanalytics-com\/"},"modified":"2022-03-03T17:10:00","modified_gmt":"2022-03-03T17:10:00","slug":"new-mit-technique-aims-to-boost-fairness-within-machine-learning-models-healthitanalytics-com","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2022\/03\/03\/new-mit-technique-aims-to-boost-fairness-within-machine-learning-models-healthitanalytics-com\/","title":{"rendered":"New MIT Technique Aims to Boost Fairness Within Machine-Learning Models &#8211; HealthITAnalytics.com"},"content":{"rendered":"<p>Author: <\/p>\n<div>\n<ol>\n<li>\n<a href=\"https:\/\/healthitanalytics.com\/news\/new-mit-technique-aims-to-boost-fairness-within-machine-learning-models\" target=\"_blank\" rel=\"noopener\">New MIT Technique Aims to Boost Fairness Within Machine-Learning Models<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">HealthITAnalytics.com<\/font>\n<\/li>\n<li>\n<a href=\"https:\/\/scitechdaily.com\/can-ai-machine-learning-models-overcome-biased-datasets\/\" target=\"_blank\" rel=\"noopener\">Can AI Machine-Learning Models Overcome Biased Datasets?<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">SciTechDaily<\/font>\n<\/li>\n<li>\n<a href=\"https:\/\/news.mit.edu\/2022\/unbias-machine-learning-0301\" target=\"_blank\" rel=\"noopener\">Injecting fairness into machine-learning models | MIT News | Massachusetts Institute of Technology<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">MIT News<\/font>\n<\/li>\n<li>\n<a href=\"https:\/\/www.eurekalert.org\/news-releases\/945050\" target=\"_blank\" rel=\"noopener\">Injecting fairness into machine-learning models<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">EurekAlert<\/font>\n<\/li>\n<li>\n<a href=\"https:\/\/www.marktechpost.com\/2022\/02\/28\/researchers-from-mit-and-harvard-finds-when-and-how-a-machine-learning-model-is-capable-of-overcoming-dataset-bias\/\" target=\"_blank\" rel=\"noopener\">Researchers From MIT and Harvard Finds When and How a Machine-Learning Model is Capable of Overcoming Dataset Bias<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">MarkTechPost<\/font>\n<\/li>\n<li><strong><a href=\"https:\/\/news.google.com\/stories\/CAAqNggKIjBDQklTSGpvSmMzUnZjbmt0TXpZd1NoRUtEd2phcmVEUUJCRUF2VUhmd2Q0Zkx5Z0FQAQ?oc=5\" target=\"_blank\" rel=\"noopener\">View Full Coverage on Google News<\/a><\/strong><\/li>\n<\/ol>\n<\/div>\n<p><a href=\"https:\/\/healthitanalytics.com\/news\/new-mit-technique-aims-to-boost-fairness-within-machine-learning-models\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: New MIT Technique Aims to Boost Fairness Within Machine-Learning Models\u00a0\u00a0HealthITAnalytics.com Can AI Machine-Learning Models Overcome Biased Datasets?\u00a0\u00a0SciTechDaily Injecting fairness into machine-learning models | MIT [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2022\/03\/03\/new-mit-technique-aims-to-boost-fairness-within-machine-learning-models-healthitanalytics-com\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":456,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5467"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=5467"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5467\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/465"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=5467"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=5467"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=5467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}