{"id":402182,"date":"2017-07-17T00:00:36","date_gmt":"2017-07-17T07:00:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=402182"},"modified":"2022-01-03T12:50:15","modified_gmt":"2022-01-03T20:50:15","slug":"research-focus-private-ai","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/research-focus-private-ai\/","title":{"rendered":"Research in Focus: Private AI"},"content":{"rendered":"<p>For AI to achieve its potential, it requires access to large amounts of often sensitive data, which can pose threats to our privacy. This session, featuring Rich Caruana and Kristin Lauter of Microsoft and Jung Hee Cheon of Seoul National University, outlines approaches that merge cryptology with AI to safeguard privacy when AI algorithms work on health, education, financial, and other sensitive data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For AI to achieve its potential, it requires access to large amounts of often sensitive data, which can pose threats to our privacy. This session, featuring Rich Caruana and Kristin Lauter of Microsoft and Jung Hee Cheon of Seoul National University, outlines approaches that merge cryptology with AI to safeguard privacy when AI algorithms work [&hellip;]<\/p>\n","protected":false},"featured_media":402203,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556,13558],"msr-video-type":[238872],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-402182","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-security-privacy-cryptography","msr-video-type-faculty-summit","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/5-9XuI9vG4Q","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/402182"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/402182\/revisions"}],"predecessor-version":[{"id":402308,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/402182\/revisions\/402308"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/402203"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=402182"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=402182"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=402182"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=402182"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=402182"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=402182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}