{"id":11353,"date":"2020-03-30T08:38:07","date_gmt":"2020-03-30T12:38:07","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11353"},"modified":"2020-03-30T08:38:07","modified_gmt":"2020-03-30T12:38:07","slug":"exploring-gender-imbalance-in-ai-numbers-trends-and-discussions","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/exploring-gender-imbalance-in-ai-numbers-trends-and-discussions\/11353\/","title":{"rendered":"Exploring Gender Imbalance in AI: Numbers, Trends, and Discussions"},"content":{"rendered":"Originally pubished in Medium, March 13, 2020 March is Women\u2019s History Month in the US, the UK and Australia, a time to honour women\u2019s sometimes underrated contributions to society. According to the US National Women\u2019s History Museum, Women\u2019s History Month started in 1978 as a local \u201cWomen\u2019s History Week\u201d celebration in California, with organizers selecting the week to correspond with the March 8 International Women\u2019s Day. The US Congress in 1987 passed Public Law 100\u20139 designating March as the Women\u2019s History Month. The past few decades have seen a steady increase in the number of women studying and <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/exploring-gender-imbalance-in-ai-numbers-trends-and-discussions\/11353\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally pubished in Medium, March 13, 2020 March is Women\u2019s History Month in the US, the UK and Australia, a time to honour women\u2019s sometimes underrated contributions to society. According to the US National Women\u2019s History Museum, Women\u2019s History Month started in 1978 as a local \u201cWomen\u2019s History Week\u201d celebration in California, with organizers selecting [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,59,368,243,1083],"class_list":["post-11353","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-analytics","tag-artificial-intelligence","tag-machine-learning","tag-women-in-ai"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11353","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=11353"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11353\/revisions"}],"predecessor-version":[{"id":11356,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11353\/revisions\/11356"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}