{"id":980,"date":"2019-12-26T23:42:02","date_gmt":"2019-12-26T14:42:02","guid":{"rendered":"http:\/\/ai-elsi.org\/?p=980"},"modified":"2019-12-26T23:42:02","modified_gmt":"2019-12-26T14:42:02","slug":"info-symposium-and-statement-on-machine-learning-and-fairness","status":"publish","type":"post","link":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/archives\/980","title":{"rendered":"Symposium and Statement on Machine Learning and Fairness"},"content":{"rendered":"<p>Japan Society for Artificial Intelligence, Ethics Committee;\u00a0Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group; and IEICE, Information-Based Induction Sciences and Machine Learning Group released &#8220;Statement on Machine Learning and Fairness&#8221; and will organize a symposium.<\/p>\n<h2>Statement on Machine Learning and Fairness<\/h2>\n<p>We, a group of researchers studying Machine Learning technologies and their applications (Japan Society for Artificial Intelligence, Ethics Committee; Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group; and IEICE, Information-Based Induction Sciences and Machine Learning Group, hereinafter referred to as \u201cwe\u201d) acknowledge that Machine Learning may interact with concepts of fairness in a way that is problematic. We would like to share our thoughts on how we believe the issue should be addressed and make the following two important points:<br \/>\n(1) Machine learning is nothing more than a tool to assist human decision making, and<br \/>\n(2) We are committed to improving fairness in society by studying possible uses of Machine Learning<\/p>\n<h5 style=\"text-align: center\"><strong>All statement is available <span style=\"color: #ff0000\"><a style=\"color: #ff0000\" href=\"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/archives\/948\">here<\/a><\/span>, PDF is available <a href=\"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-content\/uploads\/sites\/19\/2019\/12\/Statement-on-ML-and-Fairness.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: #ff0000\">here<\/span><\/a>.<\/strong><\/h5>\n<h2>Symposium<\/h2>\n<p>Date: 9th January 2020<br \/>\nTime: 18:00 &#8211; 20:30 (hall opens from 17:30)<br \/>\nVenue: <a href=\"https:\/\/www.hit-u.ac.jp\/hall\/accessen.html\" target=\"_blank\" rel=\"noopener noreferrer\">Hitotsubashi Hall,National Center of Sciences Building<\/a> 2F,2-1-2 Hitotsubashi,Chiyoda-ku,Tokyo 101-8439<br \/>\nRegistration: No registration required. Free to attend.<\/p>\n<h4>Program<\/h4>\n<p>18:00-18:20 Opening and introduction of the statement<br \/>\n18:20-18:50 <a href=\"http:\/\/www.kamishima.net\/\" target=\"_blank\" rel=\"noopener noreferrer\">Toshihiro Kamishima<\/a>: Machine Learning and Fairness<br \/>\n18:50-19:10 <a href=\"https:\/\/researchmap.jp\/sakura\/?lang=english\" target=\"_blank\" rel=\"noopener noreferrer\">Osamu Sakura<\/a>: Considering Technology in Society<br \/>\n19:10-19:30 <a href=\"https:\/\/arisaema0.wordpress.com\/cv\/\" target=\"_blank\" rel=\"noopener noreferrer\">Arisa Ema<\/a>: Social Responsibility of Science Communities on AI and Fairness<br \/>\n19:30-19:40 Break<br \/>\n19:40-20:30 Panel Discussion and Q&amp;A<br \/>\nModerator\uff1a<a href=\"https:\/\/researchmap.jp\/nakagawa3\/\" target=\"_blank\" rel=\"noopener noreferrer\">Hiroshi Nakagawa<\/a><br \/>\nPanelist: Toshihiro Kamishima, Osamu Sakura, Arisa Ema<br \/>\nAn event report is available <a href=\"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/archives\/1041\">here<\/a>.<\/p>\n<h4>Organized by:<\/h4>\n<ul>\n<li>Japan Society for Artificial Intelligence, Ethics Committee<\/li>\n<li>Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group<\/li>\n<li>IEICE, Information-Based Induction Sciences and Machine Learning Group<\/li>\n<\/ul>\n<h4>Supported by:<\/h4>\n<ul>\n<li>IEEE Computer Society Tokyo\/Japan Joint Chapter, Kansai Chapter, Fukuoka Chapter<\/li>\n<li>IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems<\/li>\n<li>The Future Society<\/li>\n<li>AI Business Promotion Consortium<\/li>\n<li>Japan Deep Learning Association<\/li>\n<li>The Japan DataScientist Society<\/li>\n<li>Japan Institute of Law and Information Systems<\/li>\n<li>Japan Association for the Contemporary and Applied Philosophy<\/li>\n<li>Japanese Society for Science and Technology Studies<\/li>\n<li>Japan Association for Philosophy of Science<\/li>\n<li>Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology,<\/li>\n<li>AI Science Research and Development Promotion Center, National Institute of Information and Communications Technology<\/li>\n<li>Center for Advanced Intelligence Project, RIKEN<\/li>\n<li>Information Processing Society of Japan<\/li>\n<li>Association of Law and Information Systems<\/li>\n<li>National Institute of Informatics<\/li>\n<li>The Institute of Statistical Mathematics<\/li>\n<li>Transdisciplinary Federation of Science and Technology<\/li>\n<li>The Japanese Society of Social Psychology<\/li>\n<li>The Japan Statistical Society<\/li>\n<li>Japan Law and Economics Association<\/li>\n<\/ul>\n<h2>Comment Form and a Reference<\/h2>\n<h4>Comment Form<\/h4>\n<p>We welcome comments and questions related to Machine Learning and Fairness. We would like to involve many opinions as possible and would like to introduce it to the symposium to start a dialogue on Machine Learning and Fairness in Japan.<\/p>\n<h5 style=\"text-align: center\">We welcome comments and questions to <span style=\"color: #ff0000\"><a style=\"color: #ff0000\" href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScn8r8YeAZbFtVLY5ULUTnSucBtsussUnsbKHglEYI5QD6npA\/viewform\" target=\"_blank\" rel=\"noopener noreferrer\">&#8220;Comment Form&#8221;<\/a><\/span><\/h5>\n<h4>Reference<\/h4>\n<p>Toshihiro Kamishima, one of the panelists of the symposium published an introductory article &#8220;Fairness in Machine Learning and Data Mining&#8221;. The article can be available from 10 December 2019.<br \/>\nArtificial Intelligence, Vol. 34, No. 2 (2019 March)<br \/>\n&#8220;Fairness in Machine Learning and Data Mining&#8221;<\/p>\n<h5 style=\"text-align: center\">The article is available <span style=\"color: #ff0000\"><a style=\"color: #ff0000\" href=\"http:\/\/id.nii.ac.jp\/1004\/00009673\/\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a><\/span> (in Japanese).<\/h5>\n<h4>Contact:<\/h4>\n<p>Maruyama: hm2@preferred.jp<br \/>\n&nbsp;<br \/>\n&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"Japan Society for Artificial Intelligence, Ethics Committee;\u00a0Japan Society for Software Science and Technology &#8230;","protected":false},"author":17,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2,3],"tags":[],"_links":{"self":[{"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/posts\/980"}],"collection":[{"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/comments?post=980"}],"version-history":[{"count":0,"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/posts\/980\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/media?parent=980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/categories?post=980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/ai-elsi\/wp-json\/wp\/v2\/tags?post=980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}