Insight in the work of ISO/IEC JTC1/SC42/JWG6: ISO/IEC 42007
参加登録は下記からお願いします / Registration Link
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)。詳細はこちら。
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). Details here .
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
Ministry of Economy, Trade and Industry (METI)
Japan AI Safety Institute (J-AISI)
National Institute of Advanced Industrial Science and Technology (AIST)
10:15 – 10:30
Ice break
10:30 – 11:30
World model (title: tentative)
14:00 – 15:00
Overview of the AI International Standardization ecosystem (remote)
15:00 – 16:00
AI and data
16:00 – 17:00
Global/European AI policy/strategy (title: tentative) (remote)
Venue: the same room, self-paid (general attendees can participate)
09:00 - 09:30
Open-Source Software in AI
09:30 - 09:55
AI Policy and Standards – Navigating a Changing World (remote)
09:55 - 10:20
UK AI policy/strategy
10:20 - 10:45
Singapore's AI policy/strategy (title: tentative) (remote)
10:45 - 11:10
Canada's AI policy/strategy (remote)
11:10 - 11:35
Shaping the Future of Industry with AI: Korea's Policy and Strategic Direction
11:35 - 12:00
AI standardization in IEEE (title: tentative) (remote)
14:00 - 14:25
Creating Human-Computer Partnerships (remote)
14:25 - 14:50
Collaboration of Human and AI (title: tentative) (remote)
14:50 - 15:15
AI and Quality Management
15:15 - 15:40
Is AI controllable by humans? Standards based approach
15:40 - 16:05
Standardization of human oversight
16:05 - 16:30
Human-machine teaming and its standardization
16:30 - 16:55
Human-Machine Teaming in Beneficial AI Systems (remote)
Agent (1)
09:00 – 09:30
AIST’s approach to AI agent (tentative)
09:30 – 10:00
AI governance in global context (title: tentative)
10:00 – 10:25
AI x Conformity assessment (tentative)
10:25 – 10:50
QI for AI
10:50 – 11:15
Conformity assessment of AI systems - concepts, open questions and some answers
11:15 – 11:40
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
11:40 – 12:05
Current adoption and implementation of ISO/IEC42001
Agent (2)
14:00 – 14:30
NEC's approach to AI agent (tentative)
14:30 – 15:00
From Human-Machine Teaming to Personal AI Agent (tentative)
Healthcare
15:00 – 15:30
AI in Healthcare: Future Perspective
15:30 – 16:00
Standards for AI-enabled Healthcare (remote)
Robotics
16:00 – 16:30
AIST's approach to robots (tentative)
Finance
16:30 – 17:00
Standardization for use of AI in Financial Services (remote)
〒105-0004 東京都港区新橋1-12-9
1-12-9 Shimbashi, Minato-ku, Tokyo 105-0004
TEL: 03-3370-2411 (9:00 – 17:30, 平日 / business days) / FAX: 03-3370-2017
E-MAIL: aisymposium@hip-ltd.co.jp