{"id":86659,"date":"2024-01-03T17:05:16","date_gmt":"2024-01-03T22:05:16","guid":{"rendered":"https:\/\/aaai.org\/?page_id=86659"},"modified":"2024-09-10T16:55:24","modified_gmt":"2024-09-10T20:55:24","slug":"invited-speakers","status":"publish","type":"page","link":"https:\/\/aaai.org\/aaai-24-conference\/invited-speakers\/","title":{"rendered":"AAAI-24 Invited Speakers"},"content":{"rendered":"\n<div class=\"wp-block-genesis-blocks-gb-columns gb-slate-section-hero-title gpb-slate-section-hero-title gb-layout-columns-1 one-column gb-has-background-dim gb-has-background-dim-20 has-brand-color-2-background-color gb-has-custom-text-color alignfull\" style=\"color:#f5f5f5;background-position:48% 72%\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-1 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-2 gb-2-col-wideleft alignfull\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-0 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column gb-is-vertically-aligned-top\"><div class=\"gb-block-layout-column-inner\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-2 gb-2-col-wideright\" style=\"padding-right:1em;padding-left:1em\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-1 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\"><div class=\"wp-block-image hide-on-mobile\">\n<figure class=\"alignright size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"277\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/05\/AAAI-24_Mark-Inverse-300x277.png\" alt=\"\" class=\"wp-image-76191\" style=\"width:90px;height:undefinedpx\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/05\/AAAI-24_Mark-Inverse-300x277.png 300w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/05\/AAAI-24_Mark-Inverse-1024x945.png 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/05\/AAAI-24_Mark-Inverse-768x709.png 768w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/05\/AAAI-24_Mark-Inverse.png 1300w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h1 class=\"wp-block-heading no-rule has-brand-color-7-color has-text-color\">The 38th Annual AAAI Conference on Artificial Intelligence<\/h1>\n\n\n\n<p class=\"date-time has-brand-color-7-color has-text-color\">February 20-27, 2024  |  Vancouver, Canada<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div class=\"wp-block-cover alignfull\" style=\"min-height:300px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(90deg,rgb(0,57,115) 0%,rgba(155,81,224,0) 44%)\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"667\" class=\"wp-block-cover__image-background wp-image-75369\" alt=\"\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/04\/Vancouver-1157634917-1000x667-1.jpg\" style=\"object-position:28% 51%\" data-object-fit=\"cover\" data-object-position=\"28% 51%\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/04\/Vancouver-1157634917-1000x667-1.jpg 1000w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/04\/Vancouver-1157634917-1000x667-1-300x200.jpg 300w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/04\/Vancouver-1157634917-1000x667-1-768x512.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/04\/Vancouver-1157634917-1000x667-1-600x400.jpg 600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:55%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n<div class=\"menu-current-conference-midpage-container\"><ul id=\"menu-current-conference-midpage\" class=\"conference-menu\"><li id=\"menu-item-86418\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86418\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/\">AAAI-24<\/a><\/li>\n<li id=\"menu-item-83890\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-83890\"><a href=\"#\">Attend<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-87215\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-87215\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-photos\/\">AAAI-24 Photos<\/a><\/li>\n\t<li id=\"menu-item-79979\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79979\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-accommodations\/\">Accommodations &#038; Travel<\/a><\/li>\n\t<li id=\"menu-item-86734\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86734\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-job-fair\/\">Job Fair<\/a><\/li>\n\t<li id=\"menu-item-87184\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-87184\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-lunch-with-a-fellow\/\">Lunch with a Fellow<\/a><\/li>\n\t<li id=\"menu-item-86478\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86478\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-onsite-childcare\/\">Onsite Childcare<\/a><\/li>\n\t<li id=\"menu-item-80010\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-80010\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/registration\/\">Registration and Visa Information<\/a><\/li>\n\t<li id=\"menu-item-86699\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-86699\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-student-scholarhip-volunteer-program\/\">Student Scholarship and Volunteer Program<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-83886\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-83886\"><a href=\"#\">Program<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-90086\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-90086\"><a href=\"https:\/\/aaai.org\/about-aaai\/aaai-awards\/aaai-24-paper-awards\/\">AAAI-24 Paper Awards<\/a><\/li>\n\t<li id=\"menu-item-86885\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-86885\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/program-overview\/\">AAAI-24 Program Overview and Schedule<\/a><\/li>\n\t<li id=\"menu-item-86896\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86896\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/invited-speakers\/\">AAAI-24 Invited Talks<\/a><\/li>\n\t<li id=\"menu-item-87015\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-87015\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-panels\/\">AAAI-24 Panels<\/a><\/li>\n\t<li id=\"menu-item-86780\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86780\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-technical-program\/\">AAAI-24 Technical Program<\/a><\/li>\n\t<li id=\"menu-item-85220\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-85220\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-bridge-program\/\">Bridge Program<\/a><\/li>\n\t<li id=\"menu-item-86757\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86757\"><a href=\"https:\/\/aaai.org\/aaai-conference\/demos-24-program\/\">Demonstration Program<\/a><\/li>\n\t<li id=\"menu-item-86733\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86733\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-diversity-inclusion-activities\/\">Diversity &#038; Inclusion Activities<\/a><\/li>\n\t<li id=\"menu-item-86758\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86758\"><a href=\"https:\/\/aaai.org\/aaai-conference\/dc-24-program\/\">Doctoral Consortium Program<\/a><\/li>\n\t<li id=\"menu-item-86807\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86807\"><a href=\"https:\/\/aaai.org\/aaai-conference\/eaai-24-program\/\">EAAI-24 Program<\/a><\/li>\n\t<li id=\"menu-item-86368\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86368\"><a href=\"https:\/\/aaai.org\/aaai-conference\/iaai-24-program\/\">IAAI-24 Program<\/a><\/li>\n\t<li id=\"menu-item-86979\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86979\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-journal-track\/\">Journal Track<\/a><\/li>\n\t<li id=\"menu-item-86813\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86813\"><a href=\"https:\/\/aaai.org\/aaai-conference\/nfh-24-program\/\">New Faculty Highlights Program<\/a><\/li>\n\t<li id=\"menu-item-86726\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86726\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-student-abstracts\/\">Student Abstracts and Poster Program<\/a><\/li>\n\t<li id=\"menu-item-86759\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86759\"><a href=\"https:\/\/aaai.org\/aaai-conference\/smt-24-program\/\">Senior Member Presentation Program<\/a><\/li>\n\t<li id=\"menu-item-86652\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-86652\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-tutorial-and-lab-forum\/\">Tutorial and Lab Forum<\/a><\/li>\n\t<li id=\"menu-item-86960\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-86960\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/undergraduate-consortium-program\/\">Undergraduate Consortium Program<\/a><\/li>\n\t<li id=\"menu-item-83889\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-83889\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-workshop-program\/\">Workshop Program<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-83891\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-83891\"><a href=\"#\">Sponsors<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-80569\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-80569\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-sponsors\/\">AAAI-24 Sponsors<\/a><\/li>\n\t<li id=\"menu-item-79539\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79539\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-sponsor-program\/\">Become a Sponsor<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-79918\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-79918\"><a href=\"#\">Policies &#038; Guidelines<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-79921\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79921\"><a href=\"https:\/\/aaai.org\/aaai-conferences-and-symposia\/aaai-code-of-conduct-for-conferences-and-events\/\">AAAI Code of Conduct for Conferences and Events<\/a><\/li>\n\t<li id=\"menu-item-79920\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79920\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/ethical-guidelines-for-aaai-24-reviewers\/\">Ethical Guidelines for AAAI-24 Reviewers<\/a><\/li>\n\t<li id=\"menu-item-83915\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-83915\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/policies-for-aaai-24-authors\/\">Policies for AAAI-24 Authors<\/a><\/li>\n\t<li id=\"menu-item-85203\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-85203\"><a href=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/01\/Publications_Ethics_and_Malpractice_Statement.pdf\">Publications Ethics and Malpractice Statement<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-90341\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-90341\"><a href=\"#\">Organization<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-79544\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79544\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/conference-organizers\/\">Conference Organizers<\/a><\/li>\n\t<li id=\"menu-item-90344\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-90344\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-program-committee\/\">Program Committee<\/a><\/li>\n\t<li id=\"menu-item-90343\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-90343\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-senior-program-committee\/\">Senior Program Committee<\/a><\/li>\n\t<li id=\"menu-item-90342\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-90342\"><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-senior-program-committee\/#area-chairs\">Area Chairs<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-76412\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-76412\"><a href=\"#\">Calls<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-76452\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76452\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-call-for-proposals\/\">Main Technical Track<\/a><\/li>\n\t<li id=\"menu-item-76465\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76465\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/call-for-the-special-track-on-ai-for-social-impact\/\">Special Track on AI for Social Impact<\/a><\/li>\n\t<li id=\"menu-item-76498\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76498\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/call-for-the-special-track-on-safe-and-robust-ai\/\">Special Track on Safe, Robust and Responsible AI<\/a><\/li>\n\t<li id=\"menu-item-76476\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76476\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/bridge-program-call-for-proposals\/\">Bridge Program<\/a><\/li>\n\t<li id=\"menu-item-76434\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76434\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/demonstration-program-call-for-proposals\/\">Demonstration Program<\/a><\/li>\n\t<li id=\"menu-item-79871\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79871\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-call-for-diversity-and-inclusion-activities\/\">Diversity and Inclusion Activities<\/a><\/li>\n\t<li id=\"menu-item-79548\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79548\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/doctoral-consortium-call-for-proposals\/\">Doctoral Consortium: Call for Proposals<\/a><\/li>\n\t<li id=\"menu-item-76483\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76483\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/eaai-24-call-for-participation\/\">EAAI-24 Call for Participation<\/a><\/li>\n\t<li id=\"menu-item-76525\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76525\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/iaai-24-call-for-participation\/\">IAAI-24 Call for Participation<\/a><\/li>\n\t<li id=\"menu-item-79866\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-79866\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/aaai-24-new-faculty-highlights\/\">New Faculty Highlights<\/a><\/li>\n\t<li id=\"menu-item-76564\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76564\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/senior-member-presentation-track\/\">Senior Member Presentation Track<\/a><\/li>\n\t<li id=\"menu-item-76446\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76446\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/student-abstract-and-poster-program-call-for-proposals\/\">Student Abstract and Poster Program<\/a><\/li>\n\t<li id=\"menu-item-76428\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76428\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/tutorialandlabforumcall24\/\">Tutorial and Lab Forum<\/a><\/li>\n\t<li id=\"menu-item-80498\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-80498\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/undergraduate-consortium\/\">Undergraduate Consortium<\/a><\/li>\n\t<li id=\"menu-item-76500\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-76500\"><a href=\"https:\/\/aaai.org\/aaai-24-conference\/workshops-call-for-proposals\/\">Workshops<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-1 gb-1-col-equal alignwide\" style=\"padding-top:2em;padding-bottom:4em\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-5 gb-is-responsive-column\" style=\"max-width:1280px\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<h1 class=\"wp-block-heading\">AAAI-24\/IAAI-24\/EAAI-24 Invited Speakers<\/h1>\n\n\n\n<p><em>Sponsored by the Association for the Advancement of Artificial Intelligence<\/em><br><strong>February 22-25, 2024<\/strong> | Vancouver Convention Centre \u2013 West Building | Vancouver, BC, Canada<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Thursday, February 22<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\">8:30AM &#8211; 9:25AM<\/h5>\n\n\n\n<p>Welcome and Opening Plenary Session<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">5:05PM &#8211; 7:00PM<\/h5>\n\n\n\n<p><strong>AAAI Award for AI for the Benefit of Humanity<\/strong><br><a href=\"#Tambe\">ML+Optimization:&nbsp;Driving Social Impact in&nbsp; public health and conservation, <em>Milind Tambe<\/em><\/a><\/p>\n\n\n\n<p><strong>AAAI Invited Talk<\/strong><br><a href=\"#Bronstein\">Geometric ML: from Euclid to drug design, <em>Michael Bronstein<\/em><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Friday, February 23<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\">8:30AM &#8211; 9:25AM<\/h5>\n\n\n\n<p><strong>2024 Robert S. Engelmore Memorial Lecture Award<\/strong><br><a href=\"#Urtasun\">Accelerating AVs with the next generation of generative AI, <em>Raquel Urtasun<\/em><\/a><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">9:30AM &#8211; 10:30AM<\/h5>\n\n\n\n<p><strong>AAAI Invited Talk<\/strong><br><a href=\"#Kraus\">Smart Advice: Intelligent Agents Assisting Humans in the Super AI Era, <em>Sarit Kraus<\/em><\/a><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">5:05PM &#8211; 7:00PM<\/h5>\n\n\n\n<p><strong>AAAI\/IAAI Invited Talk<\/strong><br><a href=\"#LeCun\">Objective-Driven AI: Towards Machines that Can Learn, Reason, and Plan <em>Yann LeCun<\/em><\/a><\/p>\n\n\n\n<p><strong>AAAI Invited Talk<\/strong><br><a href=\"#Spelke\">How Children Learn, <em>Elizabeth S. Spelke<\/em><\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Saturday, February 24<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\">8:30AM &#8211; 9:25AM<\/h5>\n\n\n\n<p><strong>IAAI Invited Talk<\/strong><br><a href=\"#Fox\">Toward&nbsp;Foundational&nbsp;Robot&nbsp;Manipulation&nbsp;Skills, <em>Dieter Fox<\/em><\/a><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2:00PM &#8211; 3:00PM<\/h5>\n\n\n\n<p><strong>AAAI\/EAAI Patrick Henry Winston Outstanding Educator Award<\/strong><br><a href=\"#LittmanIsbell\">AI Education in the Age of AI,<em> Charles Isbell and Michael Littman <\/em><\/a><\/p>\n\n\n\n<p><strong>AAAI<\/strong> <strong>Classic Paper Award<\/strong><\/p>\n\n\n\n<p>Maximum Entropy Inverse Reinforcement Learning, <em>Brian Ziebart, Andrew Maas, Andrew Bagnell, Anind Dey<\/em><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">3:45PM &#8211; 4:30PM<\/h5>\n\n\n\n<p>AAAI Organizational &amp; Conference Awards<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">4:30PM &#8211; 6:00PM<\/h5>\n\n\n\n<p><a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-panels\/\">Panel: Implications of LLMs<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sunday, February 25<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\">8:30AM &#8211; 9:25AM<\/h5>\n\n\n\n<p><strong>AAAI Invited Talk<\/strong><br><em><a href=\"#Kaelbling\">The Role of Rationality in Modern AI, Leslie Pack Kaelbling<\/a><\/em><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">5:05PM &#8211; 6:00PM<\/h5>\n\n\n\n<p><strong>AAAI Invited Talk<\/strong><br><a href=\"#fung\">Machines Make Up Stuff: Why Do Generative Models Hallucinate?, <em>Pascale Fung<\/em><\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-brand-color-2-color has-alpha-channel-opacity has-brand-color-2-background-color has-background is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Tambe\"><strong>AAAI Award for AI for the Benefit Humanity <\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Tambe\">ML+Optimization:&nbsp;Driving Social Impact in&nbsp;public health and conservation<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Milind Tambe,<\/em> <em>Harvard University\/Google Research<\/em><\/h5>\n\n\n\n<p>For more than 15 years, my team and I have been focused on AI for social impact, deploying end-to-end systems in areas of public health, conservation and public safety. In this talk, I will highlight the results from our deployments for social impact in public health and conservation, as well as required innovations in integrating machine learning and optimization. Within public health, I will present recent results from our work in India with the world\u2019s two largest mobile health programs for maternal and child care that have served millions of beneficiaries. Additionally, I will highlight results from an earlier project on HIV prevention among youth experiencing homelessness in Los Angeles. Turning to conservation, I will highlight efforts for protecting endangered wildlife in national parks around the globe. To address challenges of ML+optimization&nbsp; common to all of these applications, we have advanced the state of the art in decision-focused learning, restless multi-armed bandits, influence maximization in social networks and green security games. In pushing this research agenda, our ultimate goal is to empower local communities and non-profits to directly benefit from advances in AI tools and techniques.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-683x1024.jpg\" alt=\"\" class=\"wp-image-86901\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-683x1024.jpg 683w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-200x300.jpg 200w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-768x1152.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-1024x1536.jpg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-1365x2048.jpg 1365w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Tambe_Summer2019-13-small-scaled.jpg 1707w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><a href=\"https:\/\/seas.harvard.edu\/person\/milind-tambe\">Milind Tambe<\/a>&nbsp;is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Principal Scientist and Director for \u201cAI for Social Good\u201d at Google Research. He is recipient of the IJCAI&nbsp; John McCarthy Award, &nbsp;AAAI Feigenbaum Prize, AAAI Robert S. Engelmore Memorial Lecture Award, AAMAS ACM Autonomous Agents Research Award, &nbsp;INFORMS Wagner prize for excellence in Operations Research practice and MORS&nbsp; Rist Prize. He is a fellow of AAAI and ACM.&nbsp; For his work on AI and public safety, he has received Columbus Fellowship Foundation Homeland security award and commendations and certificates of appreciation from the US Coast Guard, the Federal Air Marshals Service and airport police at the city of Los Angeles.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Bronstein\"><strong>AAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Bronstein\">Geometric ML: from Euclid to drug design<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Michael Bronstein, University of Oxford<\/em><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"762\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-762x1024.jpg\" alt=\"\" class=\"wp-image-86660\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-762x1024.jpg 762w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-223x300.jpg 223w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-768x1032.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-1143x1536.jpg 1143w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-1524x2048.jpg 1524w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/michael-portrait-scaled.jpg 1905w\" sizes=\"auto, (max-width: 762px) 100vw, 762px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Michael Bronstein<\/strong> is the DeepMind Professor of AI at the University of Oxford. He previously served as Head of Graph Learning Research at Twitter, professor at Imperial College London, and held visiting appointments at Stanford, MIT, and Harvard. He is the recipient of the Royal Society Wolfson Research Merit Award, Royal Academy of Engineering Silver Medal, Turing World-Leading AI Research Fellowship, five ERC grants, two Google Faculty Research Awards, and two Amazon AWS ML Research Awards. He is a Member of the Academia Europaea, Fellow of IEEE, IAPR, BCS, and ELLIS, ACM Distinguished Speaker, and World Economic Forum Young Scientist. In addition to his academic career, Michael is a serial entrepreneur and founder of multiple startup companies, including Novafora, Invision (acquired by Intel in 2012), Videocites, and Fabula AI (acquired by Twitter in 2019).&nbsp;<\/p>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>IAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Fox\">Toward&nbsp;Foundational&nbsp;Robot&nbsp;Manipulation&nbsp;Skills<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Dieter Fox, NVIDIA<\/em><\/h5>\n\n\n\n<p>The last years have seen astonishing progress in the capabilities of generative AI&nbsp;techniques, particularly in the areas of language and visual understanding. Key to the success of these models is the availability of very large sets of images and text along with models that are able to digest such large datasets.&nbsp; Unfortunately, we have not been able to replicate this success in the context of robotics, where robots still struggle to perform seemingly simple tasks such as&nbsp;manipulating&nbsp;objects in the real world.&nbsp; A crucial reason for this problem is the lack of data suitable to train powerful, general models for robot decision making and control.<\/p>\n\n\n\n<p>In this talk, I will describe our ongoing efforts toward developing the models and generating the kind of data that might enable us to train&nbsp;foundational&nbsp;robot&nbsp;manipulation&nbsp;skills.&nbsp; To generate large amounts of demonstration data, we sample many object rearrangement tasks in physically realistic simulation environments, generate high quality solutions for them, and then train perception-driven&nbsp;manipulation&nbsp;skills&nbsp;that can be used in unknown, real-world environments.&nbsp; We believe that such&nbsp;skills along with&nbsp;generative AI reasoning can provide robots with the capabilities necessary to succeed across a wide range of applications.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"819\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/DieterFox-2023-819x1024.jpg\" alt=\"\" class=\"wp-image-86923\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/DieterFox-2023-819x1024.jpg 819w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/DieterFox-2023-240x300.jpg 240w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/DieterFox-2023-768x960.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/DieterFox-2023.jpg 1050w\" sizes=\"auto, (max-width: 819px) 100vw, 819px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Dieter Fox<\/strong> is Senior Director of Robotics Research at NVIDIA and Professor in the Paul G. Allen School of Computer Science &amp; Engineering at the University of Washington, where he heads the UW Robotics and State Estimation Lab. Dieter obtained his Ph.D. from the University of Bonn, Germany.&nbsp; His research is in robotics and artificial intelligence, with a focus on state estimation and perception applied to problems such as robot&nbsp;manipulation, mapping, and object detection and tracking. He has published more than 200 technical papers and is the co-author of the textbook \u201cProbabilistic Robotics\u201d. He is a Fellow of the IEEE, AAAI, and ACM, and recipient of the 2020 Pioneer in Robotics and Automation Award and the 2023 John McCarthy Award.&nbsp; Dieter also received several best paper awards at major robotics, AI, and computer vision conferences. He was an editor of the IEEE Transactions on Robotics, program co-chair of the 2008 AAAI Conference on Artificial Intelligence, and program chair of the 2013 Robotics: Science and Systems conference.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"fung\">Machines Make Up Stuff: Why Do Generative Models Hallucinate?&nbsp;<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Pascale Fung, The Hong Kong University of Science &amp; Technology<\/em><\/h5>\n\n\n\n<p>Generative AI models such as ChatGPT and Stable Diffusion have greatly accelerated the development and adoption of AI applications. However, one of the key challenges today is AI hallucination &#8211; generative models tend to confabulate plausible even authoritative sounding responses that are incorrect and non-factual, leading to downstream harm if not mitigated. Some findings showed that close to 30% of chatbot responses are hallucinations. Why do they hallucinate? And why popular methods such as RLHF and safety fine-tuning cannot completely mitigate this problem?&nbsp; In this talk, I will give an overview of the known causes of hallucination and methods to mitigate them, including in multimodal and multilingual scenarios. I will also talk about the remaining challenges and future directions in AI hallucination research.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"817\" height=\"961\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Pascale-Fung.jpeg\" alt=\"\" class=\"wp-image-87041\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Pascale-Fung.jpeg 817w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Pascale-Fung-255x300.jpeg 255w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Pascale-Fung-768x903.jpeg 768w\" sizes=\"auto, (max-width: 817px) 100vw, 817px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Pascale Fung is a Chair Professor at the&nbsp;<a href=\"http:\/\/www.ece.ust.hk\/\">Department of Electronic &amp; Computer Engineering<\/a>&nbsp;at&nbsp;<a href=\"http:\/\/www.ust.hk\/\">The Hong Kong University of Science &amp; Technology<\/a>&nbsp;(HKUST), and a visiting professor at the&nbsp;<a href=\"http:\/\/www.cafa.edu.cn\/en\/\">Central Academy of Fine Arts<\/a>&nbsp;in Beijing. She is the Director of HKUST&nbsp;<a href=\"http:\/\/caire.ust.hk\/\">Centre for AI Research<\/a>&nbsp;(CAiRE) at HKUST. She is a Fellow of the AAAI, ACL, IEEE and ISCA. She is an expert on the&nbsp;<a href=\"http:\/\/www3.weforum.org\/docs\/WEF_Global_Future_Councils_2016-2018_Concept_Note.pdf?ET_CID=1014392&amp;ET_RID=001b000000WKRizAAH&amp;__AdditionalEmailAttribute3=\">Global Future Council<\/a>&nbsp;for AI of the World Economic Forum. She represents HKUST on&nbsp;<a href=\"https:\/\/www.partnershiponai.org\/\">Partnership on AI to Benefit People and Society<\/a>. She is on the&nbsp;<a href=\"https:\/\/signalprocessingsociety.org\/our-story\/board-governors\">Board of Governors<\/a>&nbsp;of the IEEE Signal Processing Society. She is a member of the IEEE Working Group to develop an&nbsp;<a href=\"https:\/\/standards.ieee.org\/project\/2863.html\">IEEE standar<\/a>d &#8211;&nbsp;Recommended Practice for Organizational Governance of Artificial Intelligence. She was the Distinguished Consultant on RAI at Meta in 2022 and a Faculty Visiting Researcher at Google in fall 2023. She served as Editor and Associate Editor for Computer Speech and Language, IEEE\/ACM Transactions on Audio, Speech and Language Processing, Transactions for ACL, Journal of Machine Learning and others. Her team has won&nbsp;<a href=\"http:\/\/pascale.home.ece.ust.hk\/\">several best and outstanding paper awards<\/a>&nbsp;at ACL, ACL and NeurIPS workshops. She is listed as one of the Forbes 50 over 50 Asia 2024.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"LittmanIsbell\"><strong>AAAI\/EAAI Patrick Henry Winston Outstanding Educator Award<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"LittmanIsbell\">AI Education in the Age of AI<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Charles Isbell, University of Wisconsin-Madison and  Michael L. Littman, Brown University<\/em><\/h5>\n\n\n\n<p>Charles and Michael are engaged in a decades-long conversation on AI, education, and AI education, exploring where it has been, where it could go, and why it is such a central part of so much that we all do. Occasionally that conversation has found its way into research and educational spaces, including two ongoing online classes in ML and RL taken by about 3300 students each year, a couple of music videos, and a series of educational videos on computing. They believe that this topic is so important and so serious that it must be addressed with a playful frame of mind\u2014no one makes their best decisions and learns effectively when they think the well-being of the world is at stake. In this presentation, Charles and Michael continue their conversation with EAAI with the help of a moderator, answering questions about their approach to AI education and their outlook for the future. They promise to take it just as seriously as they do everything else&#8230; and probably there won\u2019t be any singing.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-1024x683.jpg\" alt=\"\" class=\"wp-image-86862\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-1024x683.jpg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-300x200.jpg 300w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-768x512.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-1536x1024.jpg 1536w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-2048x1365.jpg 2048w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/Charles_Isbell-600x400.jpg 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Charles Lee Isbell Jr.<\/strong>&nbsp;is an American computationalist, researcher, and educator. He is Provost and Vice Chancellor for Academic Affairs at the&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/University_of_Wisconsin%E2%80%93Madison\">University of Wisconsin\u2013Madison<\/a>. Before joining the faculty there, he was a professor at the&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Georgia_Institute_of_Technology_College_of_Computing\">Georgia Institute of Technology College of Computing<\/a>&nbsp;starting in 2002, and served as John P. Imlay, Jr.&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Dean_(education)\">Dean<\/a>&nbsp;of the College from July 2019 to July 2023. His research interests focus on&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Machine_learning\">machine learning<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Artificial_intelligence\">artificial intelligence<\/a>, particularly interactive and human-centered AI. He has published over 100 scientific papers.<sup><a href=\"https:\/\/en.wikipedia.org\/wiki\/Charles_Lee_Isbell_Jr.#cite_note-1\">[1]<\/a><\/sup>&nbsp;In addition to his research work, Isbell has been an advocate for increasing access to and diversity in higher education.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-768x1024.jpeg\" alt=\"\" class=\"wp-image-86863\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-768x1024.jpeg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-225x300.jpeg 225w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-1152x1536.jpeg 1152w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-1536x2048.jpeg 1536w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/michaelhead-scaled.jpeg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Michael L. Littman<\/strong> is University Professor of Computer Science at Brown University, where he studies machine learning and decision-making under uncertainty. He has earned multiple university-level awards for teaching and his research has been recognized with three best-paper awards and three influential paper awards. Littman is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He is currently serving as Division Director for Information and Intelligent Systems at the National Science Foundation. His book &#8220;Code to Joy: Why Everyone Should Learn a Little Programming&#8221; (MIT Press) was released Fall 2023.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kaelbling\"><strong>AAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kaelbling\">The Role of Rationality in Modern AI<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>&nbsp;Leslie Pack Kaelbling, MIT<\/em><\/h5>\n\n\n\n<p>The classical approach to AI was to design systems that were rational at run-time: they had explicit representations of beliefs, goals, and plans and ran inference algorithms, online, to select actions. The rational approach was criticized (by the behaviorists) and modified (by the probabilists) but persisted in some form. Now the overwhelming success of the connectionist approach in so many areas presents evidence that the rational view may no longer have a role to play in AI. I will examine this question from several perspectives, including whether the rationality is present at design-time and\/or at run-time, and whether systems with run-time rationality might be useful from the perspectives of computational efficiency, cognitive modeling and safety. I will present some current research focused on understanding the roles of learning in runtime-rational systems with the ultimate aim of constructing general-purpose human-level intelligent robots.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-1024x1024.jpg\" alt=\"\" class=\"wp-image-86859\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-1024x1024.jpg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-300x300.jpg 300w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-150x150.jpg 150w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-768x768.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-1536x1536.jpg 1536w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-2048x2048.jpg 2048w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-75x75.jpg 75w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/lpk_headshot_lowres-600x600.jpg 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Leslie<\/strong> is a Professor at MIT. She has an undergraduate degree in Philosophy and a PhD in Computer Science from Stanford, and was previously on the faculty at Brown University. She was the founding editor-in-chief of the Journal of Machine Learning Research. Her research agenda is to make intelligent robots using methods including estimation, learning, planning, and reasoning. She is not a robot.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kaelbling\"><strong>AAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kraus\">Smart Advice: Intelligent Agents Assisting Humans in the &nbsp;Super AI Era<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Sarit Kraus, Bar-Ilan University<\/em><\/h5>\n\n\n\n<p>The capabilities, autonomy, and efficiency of software and physical agents have increased remarkably in recent times.&nbsp; However, the rapid advancement of these intelligent systems presents significant challenges for humans when they need to interact, coordinate, or collaborate with them. Intelligent advising agents providing guidance to people in such situations can enhance their decision-making and alleviate cognitive load. Alongside identifying valuable advice, these assisting agents must also deliver explanations to convince humans that the provided advice is advantageous and trustworthy. In the presentation, we will highlight the challenges that emerge when humans need to collaborate with drones, autonomous vehicles, and intelligent systems for negotiation and mediation. Additionally, we will introduce several approaches for developing assisting agents aimed at enhancing human performance and satisfaction.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"581\" height=\"526\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/sarit-office-1.jpg\" alt=\"\" class=\"wp-image-86986\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/sarit-office-1.jpg 581w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/sarit-office-1-300x272.jpg 300w\" sizes=\"auto, (max-width: 581px) 100vw, 581px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Sarit Kraus is a Professor of Computer Science at Bar-Ilan University.&nbsp;<a>Her research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques with optimization and game theory methods. In particular, she studies the development of&nbsp;<\/a>intelligent agents that can interact proficiently with people and with robots.<br>For her work, she received many prestigious awards. She&nbsp;was awarded the IJCAI Computers and Thought Award, the IJCAI Research Excellent Award, the ACM SIGART Agents Research Award, the&nbsp;ACM Athena Lecturer,&nbsp;the EMET prize, and was twice the winner of the IFAAMAS influential paper award. She is an ACM, AAAI and&nbsp;EurAI&nbsp;fellow and a recipient of the advanced ERC grant. She is an elected member of the Israel Academy of Sciences and Humanities.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kaelbling\"><strong>AAAI\/IAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"LeCun\">Objective-Driven AI: Towards Machines that can Learn, Reason, and Plan<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Yann LeCun, Meta-FAIR &amp; New York University<\/em><\/h5>\n\n\n\n<p>How could machines learn as efficiently as humans and animals? How could machines learn how the world works and acquire common sense? How could machines learn to reason and plan? Current AI architectures, such as Auto-Regressive Large Language Models fall short.&nbsp; I will propose a modular cognitive architecture that may constitute a path towards answering these questions.&nbsp; The centerpiece of the architecture is a predictive world model that allows the system to predict the consequences of its actions and to plan a sequence of actions that optimize a set of objectives.&nbsp; The objectives include guardrails that guarantee the system&#8217;s controllability and safety.&nbsp; The world model employs a Hierarchical Joint Embedding Predictive Architecture (H-JEPA) trained with self-supervised learning.&nbsp; The JEPA learns abstract representations of the percepts that are simultaneously maximally informative and maximally predictable.&nbsp; The corresponding working paper is available here:&nbsp;<a href=\"https:\/\/openreview.net\/forum?id=BZ5a1r-kVsf\">https:\/\/openreview.net\/forum?id=BZ5a1r-kVsf<\/a><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-1024x683.jpeg\" alt=\"\" class=\"wp-image-86925\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-1024x683.jpeg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-300x200.jpeg 300w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-768x512.jpeg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-1536x1024.jpeg 1536w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-2048x1365.jpeg 2048w, https:\/\/aaai.org\/wp-content\/uploads\/2024\/01\/HI_YannLeCun_KimberlyMWang_14-600x400.jpeg 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Yann LeCun<\/strong> is VP &amp; Chief AI Scientist at Meta and Silver Professor at NYU affiliated with the Courant Institute of Mathematical Sciences &amp; the Center for Data Science. He was the founding Director of FAIR and of the NYU Center for Data Science. He received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Universit\u00e9. After a postdoc in Toronto he joined AT&amp;T Bell Labs in 1988, and AT&amp;T Labs in 1996 as Head of Image Processing Research. He joined NYU as a professor in 2003 and Meta\/Facebook in 2013. His interests include AI, machine learning, computer perception, robotics, and computational neuroscience. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for &#8220;conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing&#8221;, a member of the National Academy of Sciences, the National Academy of Engineering, the French Acad\u00e9mie des Sciences. <a href=\"http:\/\/yann.lecun.com\">http:\/\/yann.lecun.com<\/a> <\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Spelke\"><strong>AAAI Invited Talk<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Spelke\">How Children Learn<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Elizabeth S. Spelke, Harvard University<\/em><\/h5>\n\n\n\n<p>In their first years and with no instruction, children learn one or more natural languages; they develop a host of skills for moving themselves and manipulating objects; they learn the paths connecting places in their homes, the bonds connecting people in their social networks, and the forms and functions of everyday objects; and they deploy concepts of number, geometry, and causality that continue to guide the reasoning of adults, including mathematicians.&nbsp; How children do this is a great, unanswered question, but research on human infants, children, adults, and non-human animals, using diverse methods from the cognitive, brain, and computational sciences, provides some hints.&nbsp; It reveals at least seven domain-specific cognitive systems that emerge and function in infancy:&nbsp; six systems of core knowledge that are shared with other animals and represent places, objects, animate beings, social beings, number and geometry, and a seventh system that likely is unique to humans and underlies language learning during the first year.&nbsp; These automatic, unconscious, fixed systems function throughout life and provide inputs to the malleable, conscious perceptions and thoughts that power our endlessly inventive human minds.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"771\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-771x1024.jpg\" alt=\"\" class=\"wp-image-86661\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-771x1024.jpg 771w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-226x300.jpg 226w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-768x1020.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-1157x1536.jpg 1157w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-1542x2048.jpg 1542w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/11\/Spelke-headshot-11-26-23-scaled.jpg 1928w\" sizes=\"auto, (max-width: 771px) 100vw, 771px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Elizabeth Spelke<\/strong> is the Marshall L. Berkman Professor of Psychology and an investigator at Center for Brains, Minds and Machines in Cambridge, MA.&nbsp; She studies the innate cognitive capacities that emerge in human infancy, summarized in her book, <em>What Babies Know <\/em>(2022)<em>, <\/em>as well as children\u2019s capacities for fast and flexible learning. With cognitive and comparative neuroscientists, she investigates whether the cognitive mechanisms driving young children\u2019s learning are shared by other animals and continue to function in older children and adults.&nbsp; With computational cognitive scientists, she probes the mechanisms that give rise to intelligence.&nbsp; With economists, she leverages findings from the developmental cognitive sciences to create and evaluate interventions to enhance the learning of children worldwide, and she uses findings from field research evaluating the interventions to deepen understanding of how humans learn.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Urtasun\"><strong>2024 Robert S. Engelmore Memorial Lecture Award<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Urtasun\">Accelerating AVs with the next generation of generative AI<\/h2>\n\n\n\n<h5 class=\"wp-block-heading\"><em>Raquel Urtasun, Waabi<\/em> <\/h5>\n\n\n\n<p>Despite meaningful progress over the past few decades, advances in the self-driving industry have plateaued. Traditional approaches are incredibly labor- and capital-intensive, relying on hand-engineered systems and millions of real-world testing miles. Generative AI offers the much-needed new path to unlocking autonomous vehicles at scale and changing the way these systems work.<\/p>\n\n\n\n<p>In this lecture, Waabi CEO and Founder Raquel Urtasun will discuss how leveraging generative AI will evolve the way autonomous driving systems are developed and trained, resulting in faster, safer, and more scalable deployment of transformative self-driving technology worldwide.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"1024\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-683x1024.jpg\" alt=\"\" class=\"wp-image-86856\" style=\"width:158px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-683x1024.jpg 683w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-200x300.jpg 200w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-768x1152.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-1024x1536.jpg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-1365x2048.jpg 1365w, https:\/\/aaai.org\/wp-content\/uploads\/2023\/12\/RaquelUrtasun-Waabi-02-scaled.jpg 1707w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Raquel Urtasun<\/strong> is the Founder and CEO of Waabi, an AI company building the next generation of self-driving technology. Waabi is the culmination of Raquel\u2019s 20-year career in AI and 10 years of experience building self-driving solutions. Raquel is also a Full Professor in the Department of Computer Science at the <a href=\"http:\/\/web.cs.toronto.edu\/home.htm\">University of Toronto<\/a>, a co-founder of the<a href=\"http:\/\/vectorinstitute.ai\/\"> Vector Institute<\/a> for AI, and the recipient of several high-profile awards including a Longuet-Higgins Prize, an Everingham Prize, an NSERC EWR Steacie Award, two NVIDIA Pioneers of AI Awards, three Google Faculty Research Awards, an Amazon Faculty Research Award, two Best Paper Runner up Prize awards at CVPR in 2013 and 2017 and more.<\/p>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":12,"featured_media":0,"parent":75368,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_eb_attr":"","ub_ctt_via":"","_genesis_hide_title":true,"_genesis_hide_breadcrumbs":true,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"full-width-content","footnotes":"[]"},"class_list":{"0":"post-86659","1":"page","2":"type-page","3":"status-publish","5":"entry"},"acf":[],"featured_image_src":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.4 - 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