カジノネット

HOME THEME PROGRAM REGISTRATION CONTACT ORGANIZER 日本語 A video recording of the symposium is available. THEME   AI quality is getting attention worldwide. Anticipations that AI be used in applications such as autonomous driving and financial credit assessment, which, if go wrong, could cost or ruin people’s life, call for high-quality AI that warrants such critical responsibility. That recognition led to starting development of AI quality criteria and methodologies around the world. The current situation provides Japan with an opportunity to lead and contribute to the international society because quality management has been one of its strengths for decades. This symposium aims to gather AI practitioners, researchers, and policymakers to share views and experiences and discuss coordinated actions to be taken. This symposium is a part of a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). PROGRAM All presentations and discussions will be given in Japanese unless shown otherwise. Opening greetings Satoshi Sekiguchi (Director General, Department of Information Technology and Human Factors, AIST) Invited talk Cultivating Trustworthy AI with the NIST AI Risk Management Framework Reva Schwartz (Research Scientist, Information Technology Laboratory, NIST) English Prerecorded Invited talk European Commission AI standardization request in support of the future AI Act Patrick Bezombes (Vice-chair of the CEN-CENELEC JTC 21 on AI standardization, Convenor of the JTC 21 Strategic Advisory Group) English Prerecorded Invited talk Governance Guidelines for the Implementation of AI Principles Yusuke Iino (Director for Global Cooperation on Governance Strategy, Digital Economy Division, Commerce and Information Policy Bureau, Ministry of Economy, Trade and Industry) Talk Several Aspects of AI International Standardization Ryoichi Sugimura (AIST/Chair of Japan national committee ISO/IEC JTC1/SC42) Talk An overview of AIST’s AI Quality Management Project Yutaka Oiwa (Deputy Director, Digital Architecture Research Center, AIST) Presentation slides (in Japanese, PDF) Panel discussion Making AI quality a hallmark of Japan Moderator Yoshiki Seo (AIST) Panelist Chinami Hamatani (Ad-Sol Nissin Corporation) Kenichi Kobayashi (Fujitsu Limited) Hiroshi Kuwajima (Denso Corporation) Tamao Okamoto (Panasonic Holdings Corporation) Atsushi Yamada (IBM Japan, Ltd.) Extended discussions All participants Closing remarks Mitsuhiro Kishimoto (Director, Digital Architecture Research Center, AIST) REGISTRATION Registration is closed. Deadline : the end of the symposium Zoom URL will be sent to your registered E-mail address. Please be noted that the registration may be closed before the closing date if the number of participants is full. Personal Information Your personal information provided here will be managed by National Institute of Advanced Industrial Science and Technology, Cyber Creative Institute Company Limited and Prime International Co., Ltd., and your data will be used only for the purpose of this Symposium. Unless otherwise agreed by you or requested by law, your personal information will not be disclosed to the third parties except to those who are engaged in this Symposium. If you have any questions or comments on personal information, please contact the Symposium Secretariat. Please register with the following registration form. REGISTRATION --> CONTACT AI Quality Management Symposium secretariat (c/o PRIME International Co., Ltd.) ADDRESS Finch Bldg. 2F, 4-7-27 Higashigotanda, Shinagawa-ku, Tokyo 141-0022, JAPAN TEL・FAX TEL : +81-3-6277-0117, FAX : +81-3-6277-0118 E-mail [email protected] ORGANIZER Organizer Co-Organizer Publications and code produced by the Quality Management of Machine Learning AI project Machine Learning Quality Management Guideline Qunomon (an open testbed for quality management of AI systems) Reference Guide to Machine Learning Quality Management Report on Quality Evaluation/Improvement Technology © Copyright National Institute of Advanced Industrial Science and Technology. All Rights Reserved