{"id":3498,"date":"2014-04-04T19:17:54","date_gmt":"2014-04-04T19:17:54","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3498"},"modified":"2014-04-04T19:17:54","modified_gmt":"2014-04-04T19:17:54","slug":"knowing-half-battle-combating-big-datas-dark-side-data-literacy","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/knowing-half-battle-combating-big-datas-dark-side-data-literacy\/3498\/","title":{"rendered":"Knowing Is Half the Battle: Combating Big Data\u2019s Dark Side Through Data Literacy"},"content":{"rendered":"The White House Office of Science and Technology Policy is nearing the end of its 90-day review of big data and privacy. Soon, industry leaders, privacy advocates, engineers, and developers expect to learn regulators\u2019 key questions and priorities for balancing innovation in predictive analytics while protecting against harm or discrimination. But one topic has received comparatively little attention: the role of federal policies to support data literacy. As our regime of predictive analytics expands, we need a better system of accountability\u2014and that requires public knowledge about data collection and analysis. What information is collected about us? How is <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/knowing-half-battle-combating-big-datas-dark-side-data-literacy\/3498\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The White House Office of Science and Technology Policy is nearing the end of its 90-day review of big data and privacy. Soon, industry leaders, privacy advocates, engineers, and developers expect to learn regulators\u2019 key questions and priorities for balancing innovation in predictive analytics while protecting against harm or discrimination. But one topic has received [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-3498","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3498","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=3498"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3498\/revisions"}],"predecessor-version":[{"id":3499,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3498\/revisions\/3499"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3498"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3498"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}