{"id":794036,"date":"2021-11-16T08:00:14","date_gmt":"2021-11-16T16:00:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=794036"},"modified":"2021-11-09T12:06:28","modified_gmt":"2021-11-09T20:06:28","slug":"fireside-chat-opportunities-and-challenges-in-human-oriented-ai","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/fireside-chat-opportunities-and-challenges-in-human-oriented-ai\/","title":{"rendered":"Fireside chat: Opportunities and challenges in human-oriented AI"},"content":{"rendered":"<p>A key challenge in developing novel AI technology is to ensure that resulting approaches and their applications fit well within the human environments they will be applied in. Recent research at Microsoft develops new approaches and insights into how AI techniques like machine learning and reinforcement learning can model more human-like AI behavior and provide new insights, experiences, and learning opportunities in game settings. In this fireside chat, Principal Researcher Siddhartha Sen (Microsoft Research NYC) and Senior Principal Researcher Katja Hofmann (Microsoft Research Cambridge) will discuss how their teams\u2019 respective work on Maia Chess and Project Paidia pave the way for more human-aware AI\u2014and where they see exciting opportunities and key challenges on the road to human-compatible AI.<\/p>\n<p>Learn more about the 2021 Microsoft Research Summit: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/Aka.ms\/researchsummit\">https:\/\/Aka.ms\/researchsummit<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A key challenge in developing novel AI technology is to ensure that resulting approaches and their applications fit well within the human environments they will be applied in. Recent research at Microsoft develops new approaches and insights into how AI techniques like machine learning and reinforcement learning can model more human-like AI behavior and provide [&hellip;]<\/p>\n","protected":false},"featured_media":794039,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-video-type":[261263,261311],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-794036","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-video-type-research-summit-2021","msr-video-type-reinforcement-learning","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/k3shJfEzzVA","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/794036"}],"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":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/794036\/revisions"}],"predecessor-version":[{"id":794042,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/794036\/revisions\/794042"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/794039"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=794036"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=794036"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=794036"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=794036"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=794036"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=794036"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=794036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}