AI標準化国際シンポジウム2025
N方よしのエコシステムに向けてInternational Symposium on AI Standards 2025
Towards WinN Eco-systems AI through standards

開催日時:2025年11月25日 (火) ~ 27日(木)
Date: 25 November (Tue) – 27 November (Thu), 2025
開催場所:AP新橋
Venue: AP Shimbashi
主催:産総研人工知能標準化委員会(経済産業省の委託事業により開催)
Organizer: AI Standardization committee, National Institute of Advanced Industrial Science and Technology (AIST),
entrusted by the Ministry of Economy, Trade and Industry (METI)
開催形式:ハイブリッド(Face-to-face + リモート聴講)
Participation: hybrid (face-to-face + remote)
言語:英語
Language: English

参加登録は下記からお願いします / Registration Link


参加登録フォーム / Registration Form (参加〆切:11/17 (火))

補完イベント:欧州AI法対応整合標準群の逐条解説勉強会のお知らせ本シンポジウムでご講演頂けなかった専門家をお招きして本シンポジウムを補完する勉強会を開催します。具体的には、欧州AI法対応の中心的な整合標準AI trustworthiness frameworkをエディタとして策定したDr. Piercosma Bisconti氏ほかに来日いただき、リモートからの解説も交え、整合標準の逐条解説をいただきます。12/10, 11に産総研臨海センター別館11階を予定します。物理での参加のみ受け付けます。ご関心のある方はこちらから参加登録ください (〆切: 12/03)。

Supplementary Event (Face-to-face only): Study Session for article-by-article explanation of harmonized standards of the EU AI ActWe will hold a supplementary study session featuring experts who were unable to present at the main symposium. Specifically, Dr. Piercosma Bisconti, who served as an editor in developing AI trustworthiness framework, the critical harmonized standard for EU AI act, and others will visit Japan. With experts from remote side, they will provide an article-by-article explanation of the harmonized standards. The session is scheduled for 10, 11 December at the 11th floor of the Annex, AIST Tokyo Waterfront. In-person attendance only. Interested parties should register here (Deadline: December 3)

開催趣旨 / Objective

国際標準はグローバルな課題の解決に有用なツールである。国境を容易に越えることができ、グローバルなビジネスやエコシステムの基盤としやすいためである。

AIはその典型である。AIはあらゆる分野を変革しつつあるが、その安全性、データの取り扱い、信頼性、人間との関係など、グローバルな課題が山積している。この解決に向け国際、各国政府、民間等々様々な場で議論が行われ、実践が試みられてきた。標準化もそうしたエコシステムの中でその役割を果たしてきた。

日本はこうした理解に基づきISO/IEC JTC1/SC42を中心にAIの様々な標準化活動に参画してきた。その結果、分野横断・業界横断の様々な標準が完成し、例えばマネジメント標準ISO/IEC 42001について認証が開始されている。

AIはいま、エージェントなど新しい概念が登場し、またロボティクスなど新しい応用分野が開拓されることで標準化対象が拡大しつつある。また分野横断の標準を参考にしつつ、各業界ごとの標準、例えばISO/IEC 42001を参考とした業界特化のマネジメント標準の議論が始まっている

本シンポジウムではこれらの動きを俯瞰し、従来の活動の成果を振り返り、今後の方向性について議論する。

過去のシンポジウム : 人工知能標準化国際シンポジウム:Trustworthy AI 実現へ向けたAI標準化

ternational standards are useful tools for solving global issues. This is because they can easily cross borders and serve as the foundation for global business and ecosystems.

AI is a typical example. AI is transforming every field, but there are many global issues to be addressed, such as safety, data handling, trustworthiness, and relationship with humans. Discussions have been held and practical measures have been attempted in various international/national, public/private organisations to resolve these issues. Standardisation has also played its role in such ecosystems.

Based on this understanding, Japan has participated in various AI standardisation activities, in particular in ISO/IEC JTC1/SC42. As a result, various cross-sector and cross-industry standards have been developed, and certification has begun for the management standard ISO/IEC 42001, for example.

AI is now expanding its scope of standardisation with the emergence of new concepts such as agents and the development of new application areas such as robotics. Meanwhile, discussions on sector-specific standards, such as management standards based on ISO/IEC 42001, are beginning, drawing on cross-sectoral standards.

This symposium will provide an overview of these developments, review the achievements of past activities, and discuss future directions.

Past symposium 2024: International Symposium on AI Standards: towards trustworthy AI through standards

Program

25 November 2025 (Tuesday) 09:00 – 10:00: Opening

Ministry of Economy, Trade and Industry (METI)

Japan AI Safety Institute (J-AISI)

National Institute of Advanced Industrial Science and Technology (AIST)

25 November 2025 (Tuesday) 10:00 – 12:00: AI in society and ecosystem (1) Chair: Dr. Roy Sugimura (AIST)

Ice break

Dr. Roy Sugimura (Supervisory Innovation Coordinator, AIST) Chair, Japan mirror committee, ISO/IEC JTC1/SC42

World model (title: tentative)

Dr. Yasuhiro Katagiri (Director, Artificial Intelligence Research Centre (AIRC), AIST)

25 November 2025 (Tuesday) 14:00 – 17:00: AI in society and ecosystem (2) Chair: Dr. Roy Sugimura (Supervisory Innovation Coordinator, AIST)

Overview of the AI International Standardization ecosystem (remote)

Mr. Wael William Diab (Chair, ISO/IEC JTC1/SC42)

AI and data

Dr. Kyoung sook Kim (Deputy Director, Intelligent Platform Research Institute (IPRI), AIST) Ex-convenor, ISO/IEC JTC1/SC42/WG2 (data)
Editor, ISO/IEC 5259-2 (Data quality for analytics and machine learning (ML) — Part 2: Data quality measures)

Global/European AI policy/strategy (title: tentative) (remote)

Dr. Sebastian Hallensleben (Chair, CEN-CENELEC JTC21)

25 November 2025 (Tuesday) 17:30 – 19:30: Banquet

Venue: the same room, self-paid (general attendees can participate)

26 November 2025 (Wednesday) 09:00 – 12:00: AI in society and ecosystem (3) Chair: Prof. Takashi Egawa (AIST / Keio-U)

Open-Source Software in AI

Mr. Jim Zemlin (Executive Director, Linux Foundation) (recorded) Mr. Noriaki Fukuyasu (VP of Japan Operations, Linux Foundation)

AI Policy and Standards – Navigating a Changing World (remote)

Mr. John Calhoon (Director of Standards Engagement, Microsoft) US Head of Delegate, ISO/IEC JTC1/SC42

UK AI policy/strategy

Dr. Adam Leon Smith (Chair, AIQI consortium) Co-convenor, ISO/IEC JTC1/SC42/JWG2 (joint w/ SC7 (testing))

Singapore's AI policy/strategy (title: tentative) (remote)

Mr. Benjamin Chua Senior Manager (AI Governance), Infocomm Media Development Authority, Singapore

Canada's AI policy/strategy (remote)

Mr. Olivier Blais (Co-founder and VP, Moov AI) Olivier Blais is the Co-founder and VP Artificial Intelligence of Moov AI, a Publicis Groupe company and a Canadian leader in artificial intelligence and data solutions, having led strategic AI initiatives for over 100 clients across the country.
quality of AI systems, where he led a team of 50 experts from various countries. He also serves as Chair of the Canadian Mirror Committee on AI at ISO/IEC, ensuring that Canadian expertise has a strong influence on global AI governance efforts.
He is also Co-Chair of the Government of Canada’s Advisory Council on Artificial Intelligence, a strategic role aimed at shaping national decisions on the technological, ethical, and economic dimensions of AI.

Shaping the Future of Industry with AI: Korea's Policy and Strategic Direction

Prof. Dr. Young-Im Cho (Gachon Univ.) Professor in the Department of Computer Engineering at Gachon University, Korea. Head of Delegation (HoD) for Korea in ISO/IEC JTC 1/SC 42 on Artificial Intelligence.
Project Editor (PE) of ISO/IEC 42111 and ISO/IEC 25258. Convenor of WG 5 on BCI Data within ISO/IEC JTC 1/SC 43.
Chair of the Standards Subcommittee of the Ministry of Trade, Industry and Energy's Committee for the Promotion of New AI Industries.

AI standardization in IEEE (title: tentative) (remote)

Mr. Srikanth Chandrasekaran (Sr Director, IEEE) Sri has been associated with the IEEE since 2012 focusing on developing key standardisation programs in emerging areas focusing on building end-to-end trustworthy devices and systems with emphasis on cybersecurity, identity and privacy through his practice. Sri also heads the standardization efforts for the Asia Pacific region and leads Business Operations for IEEE's office in India. Sri and his team in India also drive the IEEE Blended Learning Program (BLP) initiative, an eLearning platform, focused on bridging skills gap for students and lateral skilling of industry professionals.
Prior to joining IEEE, Sri was associated with Freescale Semiconductor Inc. (formerly Motorola Inc.) for 17 years, managing a global Electronic Design Automation R&D team.
Sri received the Accellera Technical Excellence Award in 2009 for his leadership and contributions to design automation standardisation. Sri holds a Bachelor of Science degree in Physics from Madras University, India and Master's degree in Electrical Communication from Indian Institute of Science, Bangalore, India.

26 November 2025 (Wednesday) 14:00 – 17:00: Towards trusted AI (1): limitation of human, AI, and the collaboration Chair: David Filip (Senior Director, Huawei Ireland Research Centre)

Human factors and AI (title: tentative) (remote)

Prof. Dr. Wendy Mackay (Research Director, Classe Exceptionnelle, Inria)

Collaboration of Human and AI (title: tentative) (remote)

Prof. Dr. Makoto Takahashi (Tohoku-U)

AI and Quality Management

Dr. Yutaka Oiwa (Deputy director, Intelligent Platform Research Institute (IPRI), AIST)

Is AI controllable by humans? Standards based approach

Dr. David Filip (Convenor, ISO/IEC JTC1/SC42/WG3 AI Trustworthiness) Senior Director of Standards and Industry Development, Huawei Ireland Research Centre
Dr. Filip serves as ISO/IEC JTC 1 PAS Mentor, ISO/IEC JTC 1 Systems integration facilitator, National chair, NSAI TC 02/SC 18 AI and thus Head of the Irish national delegation to ISO/IEC JTC 1/SC 42 AI & CEN-CENELEC JTC 21 AI, ISO/IEC JTC 1/SC 42 liaison to /SC 38, ISO/TC 37 and many others. He works as Senior Director of Standards and Industry Development at Huawei Technologies Ireland.

Standardization of human oversight

Prof. Takashi Egawa (Invited researcher, AIST / Keio-U) Editor, ISO/IEC 42105 (Guidance for human oversight of AI systems)

Human-machine teaming and its standardization

Dr. Yuchang Cheng (Senior Research Manager, Fujitsu Ltd.) Secretary, ISO/IEC JTC1/SC42/WG4 (use cases and applications)
Project editor, ISO/IEC TR 24030:2021, 24030:2024 (AI -- use cases), ISO/IEC 5338 (AI system life cycle processes), ISO/IEC 25589 (framework for human-machine teaming)

AI x Conformity assessment (tentative)

Prof. Dr. Steve Kwan (Professor Emeritus, San Jose State University)

27 November 2025 (Thursday) 09:00 – 12:00: Towards trusted AI (2): governance and management Chair: Prof. Yonosuke Harada (Professor Emeritus, Institute of Information Security)

AI governance in global context (title: tentative)

Prof. Dr. Tagui Ichikawa (Institute of Innovation Research, Hitotsubashi-U)

Conformance testing of AI and around (tentative)

Dr. Hiroki Takamura (JQA)

QI for AI

Dr. Adam L Smith (Chair, AIQI consortium) Co-convenor, ISO/IEC JTC1/SC42/JWG2 (joint w/ JTC1/SC7 (testing))

Conformity assessment of AI systems - concepts, open questions and some answers

Ms. Martina Paul (Co-convenor, ISO/IEC JTC1/SC42/JWG6 (joint w/ ISO CASCO)

Insight in the work of ISO/IEC JTC1/SC42/JWG6: ISO/IEC 42007 as one answer of building a framework for AI system conformity assessment schemes

Ms. Susanne Kuch (DAkkS) Project Editor of ISO/IEC 42007, High-level framework and guidance for the development of conformity assessment schemes for AI systems.
Coordinator of the German joint initiative for digitalisation of the quality infrastructure "QI-Digital"

Current adoption and implementation of ISO/IEC42001

Prof. Yonosuke Harada (Professor Emeritus, Institute of Information Security) Ex-Convenor, ISO/IEC JTC1/SC42/JWG1 (joint w/ SC40 (IT governance))
Project lead, ISO/IEC PWI 42114 (Guidelines for auditing of AI management system based on ISO/IEC 42001)

27 November 2025 (Thursday) 14:00 – 17:00: Future of AI and its standardization Chair: Dr. Fumihiro Maruyama (Invited Senior Researcher, AIST)

Agent

AIST's approach to AI agent (tentative)

Dr. Masahiro Hamasaki (Team Leader, Agentic AI Research Team, AI Research Center, AIST)

NEC's approach to AI agent (tentative)

Dr. Satoshi Morinaga (NEC Corporation)

From Human-Machine Teaming to Personal AI Agent (tentative)

Dr. Fumihiro Maruyama (Invited Senior Researcher, AIST) Ex-convenor, ISO/IEC JTC 1/SC 42/WG 4 (Use cases and applications)
Ex-secretary, ISO/IEC JTC 1/SC 42 Japan Mirror Committee
Special advisor on AI education, Chuo Computer & Communication College Group

Healthcare

AI in Healthcare: Future Perspective

Prof. Dr. Shusaku Tsumoto, M.D., Ph.D. (Professor of Medical Informatics, Shimane University) Convenor, ISO/IEC JTC1/JWG3 (joint w/ ISO/TC215 (AI enabled health informatics))
Ex-president, Japanese Society for Artificial Intelligence

Standards for AI-enabled Healthcare (remote)

Peter Williams (Executive Director, Oracle) Co-editor, ISO/IEC TR 18988 (Application of AI technologies in health informatics)
Oracle's Executive Director, Healthcare Industry for Japan and Asia-Pacific. Prior to joining Oracle, he held senior health IT executive roles in State and Federal Government.
Chair of Standards Australia's Technical Subcommittee on AI in Healthcare. Co-convenor of ISO TC215 Task Force 5 on AI in Health Informatics and a member of ISO/IEC SC42 Joint Working Group 3, AI in Healthcare.
Foundation Fellow of the Australasian Institute of Digital Health.

Robotics

AIST's approach to robots (tentative)

Dr. Yoshihiro Nakabo (Deputy Director, Integrated Research Center for Wellbeing, AIST)

Finance

Standardization for use of AI in Financial Services (remote)

Aditya Mohan (Standards Development Manager, National Standardization body of Ireland) Aditya Mohan is Standards Development Manager at National Standardization body of Ireland and is Co-Chair of Joint Working Group 7 {between ISO SC42 (AI) and TC68 (Fin. Services)}. He represents Ireland at European AI Board in Standards WG and at GPAI (OECD). He has been active contributor to his national government's position while drafting of EU AIA and now with its implementation. He has been associated with Standardization work at ISO / SC42 and CEN / JTC21 and TC 307 committees. Aditya has worked at IBM in middleware platforms 'Lotus' and 'WebSphere' and on the AI platform 'Watson' as a Solution Architect and has Technology patents and publications.

会場案内 / Venue

AP 新橋 3階 / 3rd floor AP, Shimbashi

〒105-0004 東京都港区新橋1-12-9
1-12-9 Shimbashi, Minato-ku, Tokyo 105-0004

事務局(株式会社ヒップ内)/ Enquiry

TEL: 03-3370-2411 (9:00 – 17:30, 平日 / business days) / FAX: 03-3370-2017

E-MAIL: aisymposium@hip-ltd.co.jp

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