{"id":13678,"date":"2024-11-21T03:55:54","date_gmt":"2024-11-21T08:55:54","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13678"},"modified":"2024-12-12T07:42:26","modified_gmt":"2024-12-12T12:42:26","slug":"4-ways-machine-learning-can-perpetuate-injustice-and-what-to-do-about-it","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/4-ways-machine-learning-can-perpetuate-injustice-and-what-to-do-about-it\/13678\/","title":{"rendered":"4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It"},"content":{"rendered":"Originally published in\u00a0Built In, July 12, 2024 When ML has the very real power to gatekeep opportunities from minority groups, employing it properly and ethically should be your number one goal. When you use machine learning, you aren\u2019t just optimizing models and streamlining business. You\u2019re governing. In effect, ML models embody and implement policies that control access to opportunities and resources, such as credit, employment, housing \u2014 and even freedom, when it comes to arrest-prediction models that inform parole and sentencing. Insurance risk models determine what each policyholder must pay, and targeted marketing determines who gains discounts, exclusive <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/4-ways-machine-learning-can-perpetuate-injustice-and-what-to-do-about-it\/13678\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0Built In, July 12, 2024 When ML has the very real power to gatekeep opportunities from minority groups, employing it properly and ethically should be your number one goal. When you use machine learning, you aren\u2019t just optimizing models and streamlining business. You\u2019re governing. In effect, ML models embody and implement policies that [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-13678","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13678","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\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13678"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13678\/revisions"}],"predecessor-version":[{"id":13709,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13678\/revisions\/13709"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}