{"id":20430,"date":"2019-11-25T08:36:16","date_gmt":"2019-11-25T16:36:16","guid":{"rendered":"https:\/\/lapost.us\/?p=20430"},"modified":"2019-11-26T08:36:33","modified_gmt":"2019-11-26T16:36:33","slug":"building-trust-into-ai","status":"publish","type":"post","link":"https:\/\/lapost.us\/?p=20430","title":{"rendered":"Building Trust Into AI"},"content":{"rendered":"
\n
\n
\n
AI Fairness 360 is a comprehensive open source toolkit to help researchers and developers detect, understand, and mitigate unwanted algorithmic bias in data sets and machine learning models throughout the AI application lifecycle.<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n

\"\"<\/a><\/p>\n

<\/div>\n<\/div>\n<\/div>\n
<\/div>\n
\n
\n

As featured in IBM’s 2018 Corporate Responsibility Report<\/a><\/p>\n<\/div>\n

\n
\n
\n
\n

Artificial intelligence and machine learning are becoming foundational technologies used to inform decisions that make a big difference in the world. As a result, addressing issues of bias and fairness in these systems and applications is essential. \u201cAI is now being used in many different consequential applications, from natural language interaction to flagging compliance challenges. The issue is in building machine learning models that we trust,\u201d says Kush Varshney, IBM researcher and founding co-director of\u00a0IBM Science for Social Good<\/a>.<\/p>\n

One of IBM\u2019s core\u00a0Trust and Transparency Principles<\/a>\u00a0is that new technology, including AI, must be transparent and explainable. IBM\u2019s\u00a0AI Fairness 360<\/a>\u00a0contains more than 70 fairness metrics and 10 state-of-the-art bias mitigation algorithms designed to translate algorithmic research from the lab into practices as farreaching as finance, human capital management, healthcare, and education.<\/p>\n

Lack of trust and transparency in machine learning and AI models can impede their ability to deliver significant and measurable benefits for enterprise at scale. The AI Fairness 360 toolkit and other IBM Trusted AI efforts aim to bring more fairness and accountability into the equation and enable businesses to tap into historic levels of opportunity while remaining aligned with our core human values.<\/p>\n

Learn more in IBM’s\u00a02018 Corporate Responsibility Report<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI Fairness 360 is a comprehensive...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,9,12],"tags":[],"class_list":["post-20430","post","type-post","status-publish","format-standard","hentry","category-business","category-opinion","category-science-tech"],"_links":{"self":[{"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/posts\/20430","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lapost.us\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20430"}],"version-history":[{"count":2,"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/posts\/20430\/revisions"}],"predecessor-version":[{"id":20432,"href":"https:\/\/lapost.us\/index.php?rest_route=\/wp\/v2\/posts\/20430\/revisions\/20432"}],"wp:attachment":[{"href":"https:\/\/lapost.us\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lapost.us\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lapost.us\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}