{"id":657243,"date":"2020-05-14T14:37:16","date_gmt":"2020-05-14T21:37:16","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=657243"},"modified":"2025-08-06T11:52:53","modified_gmt":"2025-08-06T18:52:53","slug":"tracworkshop","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/tracworkshop\/","title":{"rendered":"Trustworthy and Robust AI Collaboration (TRAC) Workshop"},"content":{"rendered":"\n\n<p><strong>By invitation only.<\/strong><\/p>\n<p>Questions? Contact our <a href=\"mailto:jenmy@microsoft.com\">Event PM<\/a>.<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>The Trustworthy and Robust AI collaboration (TRAC) between <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">MIT CSAIL<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/\" target=\"_blank\" rel=\"noopener\">Microsoft Research<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> is working towards fostering advances on robustness and trustworthy AI, which spans safety & reliability, intelligibility, and accountability.\u202fThe collaboration seeks to address concerns about the trustworthiness of AI systems, including rising concerns with the safety, fairness, and transparency of technologies.<\/p>\n<p>The 3rd TRAC workshop will be run as a virtual event. It will feature a number of short talks providing an update on the TRAC collaborations, as well as an opportunity to do deep dives in the projects below:<\/p>\n<ul>\n<li><b>Stefanie Jegelka<\/b>, ML with theoretical guarantees<\/li>\n<li><b>Aleksander Madry<\/b>, Towards ML you can rely on<\/li>\n<li><b>Ankur Moitra<\/b>, Robustness meets Algorithms<\/li>\n<li><b>Daniela Rus<\/b>, Efficient and Explainable ML Algorithms using Coresets<\/li>\n<li><b>Tamara Broderick<\/b>, Bayesian ML: uncertainty and robustness at scale<\/li>\n<li><b>Vinod Vaikuntanathan, Yael Kalai<\/b>, Distributed, Private and Efficient Machine Learning<\/li>\n<li><b>Martin Rinard, Shuvendu Lahiri\/Madan Musuvathi<\/b>, State-Based Approaches for Verifying and Testing Neural Networks<\/li>\n<li><b>Mohammad Alizadeh, Siddhartha Sen<\/b>, Safe Online Reinforcement Learning in Networked Systems<\/li>\n<li><b>Cathy Wu, Alekh Agarwal\/Adith Swaminathan<\/b>, Off-policy evaluation for risk-aware autonomous systems<\/li>\n<li><b>John Guttag, Eric Horvitz<\/b>, Exploration of robust machine learning for high-stakes predictions<\/li>\n<\/ul>\n<p>Information on The Trustworthy and Robust AI collaboration (TRAC) between MIT CSAIL and Microsoft Research along with past workshops can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/trac.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. <\/p>\n<h3>Microsoft\u2019s Event Code of Conduct<\/h3>\n<p>Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. This includes virtual events Microsoft hosts and participates in, where we seek to create a respectful, friendly, and inclusive experience for all participants. As such, we do not tolerate harassing or disrespectful behavior, messages, images, or interactions by any event participant, in any form, at any aspect of the program including business and social activities, regardless of location.<\/p>\n<p>We do not tolerate any behavior that is degrading to any gender, race, sexual orientation or disability, or any behavior that would violate\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/legal\/compliance\/default.aspx\" target=\"_blank\" rel=\"noopener\">Microsoft\u2019s Anti-Harassment and Anti-Discrimination Policy, Equal Employment Opportunity Policy, or Standards of Business Conduct<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. In short, the entire experience must meet our culture standards. We encourage everyone to assist in creating a welcoming and safe environment. Please\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\" target=\"_blank\" rel=\"noopener\">report<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0any concerns, harassing behavior, or suspicious or disruptive activity. Microsoft reserves the right to ask attendees to leave at any time at its sole discretion.<\/p>\n<div style=\"height: 20px\"><\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Report a concern\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tReport a concern\t<\/a>\n\n\t<\/div>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><b>Each day&#8217;s agenda starts at 9:30am PDT sharp.<\/b><\/p>\n<div style=\"height: 8px\"><\/div>\n<h2>Monday, June 22, 2020<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/people.csail.mit.edu\/costis\/\" target=\"_blank\" rel=\"noopener\">Constantinos Daskalakis<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nRobust Learning from Censored Data<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/people.csail.mit.edu\/tbroderick\/\" target=\"_blank\" rel=\"noopener\">Tamara Broderick<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nApproximate Cross-Validation for Complex Models<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/moitra\/\" target=\"_blank\" rel=\"noopener\">Ankur Moitra<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nClassification under Misspecification, and Implications for Fairness<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/maggie-makar\" target=\"_blank\" rel=\"noopener\">Maggie Makar<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nLearnability of Contagious Infections Under Incomplete Testing<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/kai-jia\" target=\"_blank\" rel=\"noopener\">Kai Jia<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nExploiting Verified Neural Networks via Floating Point Numerical Error<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.mit.edu\/~lucasl\/\" target=\"_blank\" rel=\"noopener\">Lucas Liebenwein<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nProvable Filter Pruning for Efficient Neural Networks<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b> and <b><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.youtube.com\/watch?v=pZ7XojW0pMo&feature=youtu.be\" target=\"_blank\" rel=\"noopener\">Tamara Broderick&#8217;s Lightning Talk<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<ul>\n<li>Real-world ML Safety and Reliability<\/li>\n<li>Coping with Biases in Data, with a Focus on ML for Healthcare (including the COVID-19-related efforts)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:30-1:00<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Report Out<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<div style=\"height: 35px\"><\/div>\n<h2>Tuesday, June 23, 2020<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hal3\/\" target=\"_blank\" rel=\"noopener\">Hal Daum\u00e9 III<\/a>, Microsoft<br \/>\nLanguage (technology) is Power<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yael\/\" target=\"_blank\" rel=\"noopener\">Yael Kalai<\/a>, Microsoft<br \/>\nLearning with Arbitrary Adversarial Test Examples<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/stefje\/\" target=\"_blank\" rel=\"noopener\">Stefanie Jegelka<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nUnsupervised Risk Estimation with Domain-Invariant Predictors<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/hadisalman.com\/\" target=\"_blank\" rel=\"noopener\">Hadi Salman<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Microsoft<br \/>\nDo Adversarially Robust ImageNet Models Transfer Better?<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/pouya-hamadanian\" target=\"_blank\" rel=\"noopener\">Pouya Hamadanian<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nTowards Safe Online Reinforcement Learning in Computer Systems<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/idss.mit.edu\/staff\/cathy-wu\/\" target=\"_blank\" rel=\"noopener\">Cathy Wu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<br \/>\nPolicy transfer across networks: towards understanding AI impacts in urban-scale systems<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<ul>\n<li>Human-ML Interface: Interpretability\/Explainability<\/li>\n<li>Adversarially Robust ML<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">12:30-12:50<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Report Out<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:50-1:00<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Closing Remarks and Next Steps<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<b><\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-and-closing-remarks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<div style=\"height: 35px\"><\/div>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Trustworthy and Robust AI collaboration (TRAC) between MIT CSAIL and Microsoft Research is working towards fostering advances on robustness and trustworthy AI, which spans safety & reliability, intelligibility, and accountability.\u202fThe collaboration seeks to address concerns about the trustworthiness of AI systems, including rising concerns with the safety, fairness, and transparency of technologies. The 3rd TRAC workshop will be run as a virtual event. <\/p>\n","protected":false},"featured_media":665064,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2020-06-22","msr_enddate":"2020-06-23","msr_location":"Virtual","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"9:30 AM\u20131:00 PM PDT","msr_hide_region":true,"msr_private_event":true,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-region":[256048],"msr-event-type":[210063],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-657243","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-global","msr-event-type-workshop","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Trustworthy and Robust AI Collaboration (TRAC) Workshop\",\"backgroundColor\":\"grey\",\"image\":{\"id\":665064,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2.jpg\",\"alt\":\"\"}} \/-->\n\n<!-- wp:msr\/content-tabs --><!-- wp:msr\/content-tab {\"title\":\"About\"} --><!-- wp:freeform --><p><strong>By invitation only.<\/strong><\/p>\n<p>Questions? Contact our <a href=\"mailto:jenmy@microsoft.com\">Event PM<\/a>.<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>The Trustworthy and Robust AI collaboration (TRAC) between <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">MIT CSAIL<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/\" target=\"_blank\" rel=\"noopener\">Microsoft Research<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> is working towards fostering advances on robustness and trustworthy AI, which spans safety &amp; reliability, intelligibility, and accountability.\u202fThe collaboration seeks to address concerns about the trustworthiness of AI systems, including rising concerns with the safety, fairness, and transparency of technologies.<\/p>\n<p>The 3rd TRAC workshop will be run as a virtual event. It will feature a number of short talks providing an update on the TRAC collaborations, as well as an opportunity to do deep dives in the projects below:<\/p>\n<ul>\n<li><b>Stefanie Jegelka<\/b>, ML with theoretical guarantees<\/li>\n<li><b>Aleksander Madry<\/b>, Towards ML you can rely on<\/li>\n<li><b>Ankur Moitra<\/b>, Robustness meets Algorithms<\/li>\n<li><b>Daniela Rus<\/b>, Efficient and Explainable ML Algorithms using Coresets<\/li>\n<li><b>Tamara Broderick<\/b>, Bayesian ML: uncertainty and robustness at scale<\/li>\n<li><b>Vinod Vaikuntanathan, Yael Kalai<\/b>, Distributed, Private and Efficient Machine Learning<\/li>\n<li><b>Martin Rinard, Shuvendu Lahiri\/Madan Musuvathi<\/b>, State-Based Approaches for Verifying and Testing Neural Networks<\/li>\n<li><b>Mohammad Alizadeh, Siddhartha Sen<\/b>, Safe Online Reinforcement Learning in Networked Systems<\/li>\n<li><b>Cathy Wu, Alekh Agarwal\/Adith Swaminathan<\/b>, Off-policy evaluation for risk-aware autonomous systems<\/li>\n<li><b>John Guttag, Eric Horvitz<\/b>, Exploration of robust machine learning for high-stakes predictions<\/li>\n<\/ul>\n<p>Information on The Trustworthy and Robust AI collaboration (TRAC) between MIT CSAIL and Microsoft Research along with past workshops can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/trac.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. <\/p>\n<h3>Microsoft\u2019s Event Code of Conduct<\/h3>\n<p>Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. This includes virtual events Microsoft hosts and participates in, where we seek to create a respectful, friendly, and inclusive experience for all participants. As such, we do not tolerate harassing or disrespectful behavior, messages, images, or interactions by any event participant, in any form, at any aspect of the program including business and social activities, regardless of location.<\/p>\n<p>We do not tolerate any behavior that is degrading to any gender, race, sexual orientation or disability, or any behavior that would violate\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/legal\/compliance\/default.aspx\" target=\"_blank\" rel=\"noopener\">Microsoft\u2019s Anti-Harassment and Anti-Discrimination Policy, Equal Employment Opportunity Policy, or Standards of Business Conduct<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. In short, the entire experience must meet our culture standards. We encourage everyone to assist in creating a welcoming and safe environment. Please\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\" target=\"_blank\" rel=\"noopener\">report<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0any concerns, harassing behavior, or suspicious or disruptive activity. Microsoft reserves the right to ask attendees to leave at any time at its sole discretion.<\/p>\n<div style=\"height: 20px\"><\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Report a concern\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tReport a concern\t<\/a>\n\n\t<\/div>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Agenda\"} --><!-- wp:freeform --><p><b>Each day&#8217;s agenda starts at 9:30am PDT sharp.<\/b><\/p>\n<div style=\"height: 8px\"><\/div>\n<h2>Monday, June 22, 2020<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/people.csail.mit.edu\/costis\/\" target=\"_blank\" rel=\"noopener\">Constantinos Daskalakis<\/a>, Massachusetts Institute of Technology<br \/>\nRobust Learning from Censored Data<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/people.csail.mit.edu\/tbroderick\/\" target=\"_blank\" rel=\"noopener\">Tamara Broderick<\/a>, Massachusetts Institute of Technology<br \/>\nApproximate Cross-Validation for Complex Models<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/moitra\/\" target=\"_blank\" rel=\"noopener\">Ankur Moitra<\/a>, Massachusetts Institute of Technology<br \/>\nClassification under Misspecification, and Implications for Fairness<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/maggie-makar\" target=\"_blank\" rel=\"noopener\">Maggie Makar<\/a>, Massachusetts Institute of Technology<br \/>\nLearnability of Contagious Infections Under Incomplete Testing<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/kai-jia\" target=\"_blank\" rel=\"noopener\">Kai Jia<\/a>, Massachusetts Institute of Technology<br \/>\nExploiting Verified Neural Networks via Floating Point Numerical Error<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.mit.edu\/~lucasl\/\" target=\"_blank\" rel=\"noopener\">Lucas Liebenwein<\/a>, Massachusetts Institute of Technology<br \/>\nProvable Filter Pruning for Efficient Neural Networks<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b> and <b><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.youtube.com\/watch?v=pZ7XojW0pMo&amp;feature=youtu.be\" target=\"_blank\" rel=\"noopener\">Tamara Broderick&#8217;s Lightning Talk<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<ul>\n<li>Real-world ML Safety and Reliability<\/li>\n<li>Coping with Biases in Data, with a Focus on ML for Healthcare (including the COVID-19-related efforts)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:30-1:00<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Report Out<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<div style=\"height: 35px\"><\/div>\n<h2>Tuesday, June 23, 2020<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hal3\/\" target=\"_blank\" rel=\"noopener\">Hal Daum\u00e9 III<\/a>, Microsoft<br \/>\nLanguage (technology) is Power<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yael\/\" target=\"_blank\" rel=\"noopener\">Yael Kalai<\/a>, Microsoft<br \/>\nLearning with Arbitrary Adversarial Test Examples<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/stefje\/\" target=\"_blank\" rel=\"noopener\">Stefanie Jegelka<\/a>, Massachusetts Institute of Technology<br \/>\nUnsupervised Risk Estimation with Domain-Invariant Predictors<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/hadisalman.com\/\" target=\"_blank\" rel=\"noopener\">Hadi Salman<\/a>, Microsoft<br \/>\nDo Adversarially Robust ImageNet Models Transfer Better?<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.csail.mit.edu\/person\/pouya-hamadanian\" target=\"_blank\" rel=\"noopener\">Pouya Hamadanian<\/a>, Massachusetts Institute of Technology<br \/>\nTowards Safe Online Reinforcement Learning in Computer Systems<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/idss.mit.edu\/staff\/cathy-wu\/\" target=\"_blank\" rel=\"noopener\">Cathy Wu<\/a>, Massachusetts Institute of Technology<br \/>\nPolicy transfer across networks: towards understanding AI impacts in urban-scale systems<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:<\/p>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<div style=\"height: 8px\"><\/div>\n<ul>\n<li>Human-ML Interface: Interpretability\/Explainability<\/li>\n<li>Adversarially Robust ML<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">12:30-12:50<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Report Out<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:50-1:00<\/td>\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Closing Remarks and Next Steps<\/td>\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology<\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<b><\/p>\n<div style=\"height: 8px\"><\/div>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-and-closing-remarks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<div style=\"height: 35px\"><\/div>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- \/wp:msr\/content-tabs -->","tab-content":[{"id":0,"name":"About","content":"The Trustworthy and Robust AI collaboration (TRAC) between <a href=\"https:\/\/www.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">MIT CSAIL<\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/\" target=\"_blank\" rel=\"noopener\">Microsoft Research<\/a> is working towards fostering advances on robustness and trustworthy AI, which spans safety &amp; reliability, intelligibility, and accountability.\u202fThe collaboration seeks to address concerns about the trustworthiness of AI systems, including rising concerns with the safety, fairness, and transparency of technologies.\r\n\r\nThe 3rd TRAC workshop will be run as a virtual event. It will feature a number of short talks providing an update on the TRAC collaborations, as well as an opportunity to do deep dives in the projects below:\r\n<ul>\r\n \t<li><b>Stefanie Jegelka<\/b>, ML with theoretical guarantees<\/li>\r\n \t<li><b>Aleksander Madry<\/b>, Towards ML you can rely on<\/li>\r\n \t<li><b>Ankur Moitra<\/b>, Robustness meets Algorithms<\/li>\r\n \t<li><b>Daniela Rus<\/b>, Efficient and Explainable ML Algorithms using Coresets<\/li>\r\n \t<li><b>Tamara Broderick<\/b>, Bayesian ML: uncertainty and robustness at scale<\/li>\r\n \t<li><b>Vinod Vaikuntanathan, Yael Kalai<\/b>, Distributed, Private and Efficient Machine Learning<\/li>\r\n \t<li><b>Martin Rinard, Shuvendu Lahiri\/Madan Musuvathi<\/b>, State-Based Approaches for Verifying and Testing Neural Networks<\/li>\r\n \t<li><b>Mohammad Alizadeh, Siddhartha Sen<\/b>, Safe Online Reinforcement Learning in Networked Systems<\/li>\r\n \t<li><b>Cathy Wu, Alekh Agarwal\/Adith Swaminathan<\/b>, Off-policy evaluation for risk-aware autonomous systems<\/li>\r\n \t<li><b>John Guttag, Eric Horvitz<\/b>, Exploration of robust machine learning for high-stakes predictions<\/li>\r\n<\/ul><br><br>\r\n\r\nInformation on The Trustworthy and Robust AI collaboration (TRAC) between MIT CSAIL and Microsoft Research along with past workshops can be found <a href=\"http:\/\/trac.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">here<\/a>. \r\n\r\n<h3>Microsoft\u2019s Event Code of Conduct<\/h3>\r\nMicrosoft\u2019s mission is to empower every person and every organization on the planet to achieve more. This includes virtual events Microsoft hosts and participates in, where we seek to create a respectful, friendly, and inclusive experience for all participants. As such, we do not tolerate harassing or disrespectful behavior, messages, images, or interactions by any event participant, in any form, at any aspect of the program including business and social activities, regardless of location.\r\n\r\nWe do not tolerate any behavior that is degrading to any gender, race, sexual orientation or disability, or any behavior that would violate\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/legal\/compliance\/default.aspx\" target=\"_blank\" rel=\"noopener\">Microsoft\u2019s Anti-Harassment and Anti-Discrimination Policy, Equal Employment Opportunity Policy, or Standards of Business Conduct<\/a>. In short, the entire experience must meet our culture standards. We encourage everyone to assist in creating a welcoming and safe environment. Please\u00a0<a href=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\" target=\"_blank\" rel=\"noopener\">report<\/a>\u00a0any concerns, harassing behavior, or suspicious or disruptive activity. Microsoft reserves the right to ask attendees to leave at any time at its sole discretion.\r\n<div style=\"height: 20px\"><\/div>\r\n<div>[msr-button text=\"Report a concern\" url=\"https:\/\/app.convercent.com\/en-us\/Anonymous\/IssueIntake\/LandingPage\/65d3b907-0933-e611-8105-000d3ab03673\" new-window=\"true\" ]<\/div>"},{"id":1,"name":"Agenda","content":"<b>Each day's agenda starts at 9:30am PDT sharp.<\/b>\r\n<div style=\"height: 8px\"><\/div>\r\n<h2>Monday, June 22, 2020<\/h2>\r\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\r\n<tbody>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"http:\/\/people.csail.mit.edu\/costis\/\" target=\"_blank\" rel=\"noopener\">Constantinos Daskalakis<\/a>, Massachusetts Institute of Technology\r\nRobust Learning from Censored Data\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"http:\/\/people.csail.mit.edu\/tbroderick\/\" target=\"_blank\" rel=\"noopener\">Tamara Broderick<\/a>, Massachusetts Institute of Technology\r\nApproximate Cross-Validation for Complex Models\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/people.csail.mit.edu\/moitra\/\" target=\"_blank\" rel=\"noopener\">Ankur Moitra<\/a>, Massachusetts Institute of Technology\r\nClassification under Misspecification, and Implications for Fairness\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.csail.mit.edu\/person\/maggie-makar\" target=\"_blank\" rel=\"noopener\">Maggie Makar<\/a>, Massachusetts Institute of Technology\r\nLearnability of Contagious Infections Under Incomplete Testing\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.csail.mit.edu\/person\/kai-jia\" target=\"_blank\" rel=\"noopener\">Kai Jia<\/a>, Massachusetts Institute of Technology\r\nExploiting Verified Neural Networks via Floating Point Numerical Error\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"http:\/\/www.mit.edu\/~lucasl\/\" target=\"_blank\" rel=\"noopener\">Lucas Liebenwein<\/a>, Massachusetts Institute of Technology\r\nProvable Filter Pruning for Efficient Neural Networks\r\n<div style=\"height: 8px\"><\/div>\r\n<b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b> and <b><a href=\"https:\/\/www.youtube.com\/watch?v=pZ7XojW0pMo&amp;feature=youtu.be\" target=\"_blank\" rel=\"noopener\">Tamara Broderick's Lightning Talk<\/a><\/b><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<ul>\r\n<li>Real-world ML Safety and Reliability<\/li>\r\n<li>Coping with Biases in Data, with a Focus on ML for Healthcare (including the COVID-19-related efforts)<\/li>\r\n<\/ul><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:30-1:00<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Report Out<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-day-1\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\r\n<\/tr>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div style=\"height: 35px\"><\/div>\r\n<div style=\"height: 35px\"><\/div>\r\n<h2>Tuesday, June 23, 2020<\/h2>\r\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 8px;text-align: left;border-bottom: 1px solid #000000\">\r\n<tbody>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Time (PDT) <\/strong><\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Session <\/strong><\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><strong> Speaker \/ Talk Title <\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">9:30-9:35<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Welcome and Introduction<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><a href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">9:35-10:10<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Opening Talk<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hal3\/\" target=\"_blank\" rel=\"noopener\">Hal Daum\u00e9 III<\/a>, Microsoft\r\nLanguage (technology) is Power\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-welcome-and-introduction-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:10-10:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">10:15-11:05<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Lightning Talks<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yael\/\" target=\"_blank\" rel=\"noopener\">Yael Kalai<\/a>, Microsoft\r\nLearning with Arbitrary Adversarial Test Examples\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/people.csail.mit.edu\/stefje\/\" target=\"_blank\" rel=\"noopener\">Stefanie Jegelka<\/a>, Massachusetts Institute of Technology\r\nUnsupervised Risk Estimation with Domain-Invariant Predictors\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/hadisalman.com\/\" target=\"_blank\" rel=\"noopener\">Hadi Salman<\/a>, Microsoft\r\nDo Adversarially Robust ImageNet Models Transfer Better?\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.csail.mit.edu\/person\/pouya-hamadanian\" target=\"_blank\" rel=\"noopener\">Pouya Hamadanian<\/a>, Massachusetts Institute of Technology\r\nTowards Safe Online Reinforcement Learning in Computer Systems\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/idss.mit.edu\/staff\/cathy-wu\/\" target=\"_blank\" rel=\"noopener\">Cathy Wu<\/a>, Massachusetts Institute of Technology\r\nPolicy transfer across networks: towards understanding AI impacts in urban-scale systems\r\n<div style=\"height: 8px\"><\/div>\r\n<b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-lightning-talks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:05-11:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">11:15-12:15<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Breakout Sessions<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\">Select One:\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<div style=\"height: 8px\"><\/div>\r\n<ul>\r\n<li>Human-ML Interface: Interpretability\/Explainability<\/li>\r\n<li>Adversarially Robust ML<\/li>\r\n<\/ul><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:15-12:30<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Break<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">12:30-12:50<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 0px solid #000000\">Report Out<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 0px solid #000000\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">12:50-1:00<\/td>\r\n<td style=\"width: 20%;padding: 8px;border-bottom: 1px solid #000000\">Closing Remarks and Next Steps<\/td>\r\n<td style=\"width: 60%;padding: 8px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noopener\">Eric Horvitz<\/a>, Microsoft and <a href=\"http:\/\/danielarus.csail.mit.edu\/\" target=\"_blank\" rel=\"noopener\">Daniela Rus<\/a>, Massachusetts Institute of Technology\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/people.csail.mit.edu\/madry\/\" target=\"_blank\" rel=\"noopener\">Aleksander M\u0105dry<\/a>, Massachusetts Institute of Technology and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Microsoft<b>\r\n<div style=\"height: 8px\"><\/div>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/trac-workshop-2020-report-out-and-closing-remarks-day-2\/\" target=\"_blank\" rel=\"noopener\">Watch this session on-demand<\/a><\/b><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div style=\"height: 35px\"><\/div>\r\n<div style=\"height: 35px\"><\/div>"}],"msr_startdate":"2020-06-22","msr_enddate":"2020-06-23","msr_event_time":"9:30 AM\u20131:00 PM PDT","msr_location":"Virtual","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"June 22, 2020","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-960x540.jpg\" class=\"img-object-cover\" alt=\"electrical circuits in the shape of a brain\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/05\/TRAC_1920x720_v2-1280x720.jpg 1280w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","event_excerpt":"The Trustworthy and Robust AI collaboration (TRAC) between MIT CSAIL and Microsoft Research is working towards fostering advances on robustness and trustworthy AI, which spans safety &amp; reliability, intelligibility, and accountability.\u202fThe collaboration seeks to address concerns about the trustworthiness of AI systems, including rising concerns with the safety, fairness, and transparency of technologies. The 3rd TRAC workshop will be run as a virtual event.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[669012,669024,669033,669087,669285,669297,669309],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/657243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/657243\/revisions"}],"predecessor-version":[{"id":1146966,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/657243\/revisions\/1146966"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/665064"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=657243"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=657243"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=657243"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=657243"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=657243"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=657243"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=657243"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=657243"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=657243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}