{"id":11539,"date":"2019-03-11T12:15:37","date_gmt":"2019-03-11T17:15:37","guid":{"rendered":"https:\/\/vieux.ivado.ca?post_type=tribe_events&#038;p=11539"},"modified":"2020-01-27T11:21:40","modified_gmt":"2020-01-27T16:21:40","slug":"ivado-mila-summer-school-on-bias-in-ai","status":"publish","type":"tribe_events","link":"https:\/\/vieux.ivado.ca\/en\/events\/ivado-mila-summer-school-on-bias-in-ai\/","title":{"rendered":"IVADO-Mila Summer School on Bias in AI"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Algorithms, and the data they process, play an increasingly important role in decisions with significant consequences for human welfare. While algorithmic decision-making processes have the potential to lead to fairer and more objective decisions, emerging research suggests that they can also lead to unequal and unfair treatments and outcomes for certain groups or individuals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This Summer School is an attempt to engage multi-disciplinary teams of researchers and practitioners to explore the social and technical dimensions of bias, discrimination and fairness in machine learning and algorithm design. The course focuses specifically (although not exclusively) on gender, race and socioeconomic based bias and data-driven predictive models leading to decisions.<\/span><\/p>\n<p>A basic understanding of machine learning is strongly recommended.<\/p>\n<h3><b>Objectives<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Understanding bias and discrimination<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Exploring the harms from bias in machine learning (discriminatory effects of algorithmic decision-making) <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Identifying the sources of bias and discrimination in machine learning <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Mitigating bias in machine learning (strategies for addressing bias)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Recommendations to guide the ethical development and evaluation of algorithms<\/span><\/li>\n<\/ul>\n<h3>Confirmed Speakers<\/h3>\n<ul>\n<li><span lang=\"EN-US\">Behrouz Babaki<\/span><span lang=\"EN-US\">, IVADO Post-Doc at Polytechnique Montreal<\/span><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fdiaz\/\">Fernando Diaz<\/a>,\u00a0Principal Researcher and lead of the Montreal FATE Research Group at Microsoft<\/li>\n<li><a href=\"https:\/\/www.montrealdeclaration-responsibleai.com\/\">Marc-Antoine Dilhac<\/a>, Professor of Philosophy at the Universit\u00e9 de Montr\u00e9al, Chair Holder \u2013 Canada Research Chair in\u202fPublic Ethics and Political Theory, Leader of the Montreal Declaration Responsible AI Development Committee<\/li>\n<li><a href=\"https:\/\/professeurs.uqam.ca\/professeur?c=faucher.luc\">Luc Faucher<\/a>,\u00a0Professor of Philosophy at the Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al<\/li>\n<li><span lang=\"EN-US\">Golnoosh Farnadi<\/span><span lang=\"EN-US\">, IVADO Post-Doc at Polytechnique Montreal<\/span><\/li>\n<li>Moritz Hardt, Assistant Professor,\u00a0Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre Kiciman<\/a>,\u00a0Principal Researcher at Microsoft Research AI<\/li>\n<li><a href=\"https:\/\/ai.google\/research\/people\/105608\">Margaret Mitchell<\/a>, Senior Research Scientist,\u00a0Google Research and Machine Intelligence<\/li>\n<li><a href=\"https:\/\/www.law.utoronto.ca\/faculty-staff\/staff\/petra-molnar\">Petra Molnar<\/a>,\u00a0Lawyer and Researcher, International Human Rights Program, University of Toronto Faculty of Law<\/li>\n<li><a href=\"https:\/\/news.engineering.utoronto.ca\/this-u-of-t-engineering-student-is-holding-companies-accountable-for-biased-ai-facial-technology\/\">Deborah Raji<\/a>,\u00a0Engineering Science Student at the University of Toronto<\/li>\n<li>Tania Saba,\u00a0Professor of Industrial Relations at Universit\u00e9 de Montr\u00e9al, Chair Holder \u2013 BMO Diversity and Governance,\u00a0Universit\u00e9 de Montr\u00e9al<\/li>\n<li><a href=\"https:\/\/dsapp.uchicago.edu\/projects\/aequitas\/\">Pedro Saleiro<\/a>,\u00a0Post-doc, Aequitas, Center for Data Science and Public Policy,\u00a0University of Chicago<\/li>\n<li><a href=\"https:\/\/www.tragicdesign.com\/\">Cynthia Savard Saucier<\/a>,\u00a0Director UX at Shopify and author of Author of Tragic Design (O&#8217;Reilly)<\/li>\n<li><a href=\"https:\/\/droit.umontreal.ca\/en\/faculty\/the-team\/professors\/details\/in\/in15004\/sg\/Nicolas%20Vermeys\/\">Nicolas Vermeys<\/a>,\u00a0Professor of Law at the Universit\u00e9 de Montr\u00e9al and Assistant Director of the Cyberjustice Laboratory<\/li>\n<li>RC Woodmass,\u00a0Founder of Queerit and Product Designer at Crescendo<\/li>\n<li>Research Interns at Mila and co-founders of <a href=\"https:\/\/sites.google.com\/view\/biaslyai\">Biasly AI<\/a>:\u00a0Andrea Eunbee Jang, Yasmeen Hitti and Carolyne Pelletier<\/li>\n<\/ul>\n<h3><b>Preliminary Program<\/b><\/h3>\n<h4><strong>Day 1: Bias and inclusion in AI<\/strong><\/h4>\n<ul>\n<li>Opening remarks<\/li>\n<li>Keynote and Introduction<\/li>\n<li>Understanding bias and discrimination<\/li>\n<li>AI and social justice<\/li>\n<li>The tech diversity problem<\/li>\n<li>Introduction to Machine Learning and automated decision-making (optional)<\/li>\n<\/ul>\n<h4><strong>Day 2:\u00a0Fairness in pre-processing<\/strong><\/h4>\n<ul>\n<li>Introduction<\/li>\n<li>Bloc 1: Fairness in pre-processing (fairness in data)\n<ul>\n<li><i>Technical session<\/i><\/li>\n<li><i>Case studies<\/i><\/li>\n<li>Hands-on<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>Day 3: Fairness in processing and post-processing<\/strong><\/h4>\n<ul>\n<li>Bloc 2: Fairness in processing\/Fairness in design\n<ul>\n<li><i>Technical session<\/i><\/li>\n<li><i>Case studies<\/i><\/li>\n<\/ul>\n<\/li>\n<li>Bloc 3: Fairness in post-processing\/Fairness in decision\n<ul>\n<li><i>Technical session<\/i><\/li>\n<li><i>Case studies<\/i><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>Day 4 &#8211; Governance, recommendations and future directions<\/strong><\/h4>\n<ul>\n<li>Community-driven initiatives:\n<ul>\n<li style=\"font-weight: 400;\">Montreal Declaration for a Responsible Development of Artificial Intelligence<\/li>\n<li style=\"font-weight: 400;\">Other initiatives (TBD)<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\">Bias in the private sector: Challenges and recommendations<\/li>\n<li>Bias in the public sector: Challenges and recommendations<\/li>\n<li style=\"font-weight: 400;\">Closing Panel discussion<\/li>\n<\/ul>\n<h3>Registration<\/h3>\n<p>Registration will open on March 11th at 12h00.<\/p>\n<ul>\n<li>Government and industry employees:&nbsp;$1500<\/li>\n<li>Non-profit organization (NPO):&nbsp;$400<\/li>\n<li>Student:&nbsp;$200<\/li>\n<\/ul>\n<p>IVADO also offers\u00a0<b>fee waivers<\/b>\u00a0to eligible students, which covers the\u00a0<b>registration fee<\/b>\u00a0for the Summer School. To be eligible, please fill the following form available in <a href=\"https:\/\/goo.gl\/forms\/npP77GGga5wLfL4J3\">English<\/a> or <a href=\"https:\/\/goo.gl\/forms\/uV9wmWcn91TIwCJG3\">French<\/a>\u00a0before March 29, 2019.<\/p>\n<h3>Organizing Committee<\/h3>\n<ul>\n<li>Jihane Lamouri, Diversity coordinator, IVADO<\/li>\n<li>Golnoosh Farnadi, Postdoc researcher, IVADO<\/li>\n<li>Martin Gibert, Ethics researcher, IVADO<\/li>\n<li>Brian Moore, Training coordinator, IVADO<\/li>\n<\/ul>\n<h3>Contact<\/h3>\n<p>For any inquiries, please contact us at formations@ivado.ca.<\/p>\n<h3><a href=\"https:\/\/www.eventbrite.ca\/e\/ivado-mila-summer-school-bias-and-discrimination-in-artificial-intelligence-registration-56063152398\">Registration &gt;&gt;<\/a><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Algorithms, and the data they process, play an increasingly important role in decisions with significant consequences for human welfare. While algorithmic decision-making processes have the potential to lead to fairer&#8230; <\/p>\n<div class=\"clear\"><\/div>\n<p><a href=\"https:\/\/vieux.ivado.ca\/en\/events\/ivado-mila-summer-school-on-bias-in-ai\/\" class=\"gdlr-button with-border excerpt-read-more\">Read More<\/a><\/p>\n","protected":false},"author":14,"featured_media":11540,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>IVADO-Mila Summer School on Bias in AI - IVADO<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IVADO-Mila Summer School on Bias in AI - IVADO\" \/>\n<meta property=\"og:description\" content=\"Algorithms, and the data they process, play an increasingly important role in decisions with significant consequences for human welfare. 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