This database provides a collection of information sources on related initiatives/practices by players composing the AI Governance Ecosystem. The list will be further developed over the period of study. (For more about the AI Governance Ecosystem, please see the report of the JDLA study group “AI governance and its evaluation”)
Click here for update history
Governance body for policy and rule formation
Formulates principles and develops practices related to AI
Policy & Social system（collaboration with int’l organizations)
OECD. AI Policy Observatory
OECD AI Principles overview / OECD : 2019/5/22
The Global Partnership on Artificial Intelligence (GPAI)
Council of Europe CAHAI
UNESCO AI
UNESCO A Recommendation on the ethics of artificial intelligence / UNESCO : 2019/11
Policy & Social system（rule formation）
AI Strategy 2022 / Cabinet Office : 2022/4/22
The Conference toward AI Network Society – release of 2022 report / MIC : 2022/7/25
“The Guidebook for Corporate Privacy Governance in the Digital Transformation (DX) Era ver.1.3” / METI/MIC : 2023/4/25
“Agile Governance Update -How Governments, Businesses and Civil Society Can Create a Better World By Reimagining Governance” – release of the report / METI : 2022/8/8
- Agile Governance Update -How Governments, Businesses and Civil Society Can Create a Better World By Reimagining Governance, 2022/8/8
- GOVERNANCE INNOVATION Ver.2: A Guide to Designing and Implementing Agile Governance, 2021/7/30
- GOVERNANCE INNOVATION: Redesigning Law and Architecture for Society 5.0, 2020/7/13
“AI Governance in Japan Ver. 1.1” (report from the expert group on how AI should be implemented) / METI : 2021/7/9
Social Principles of Human-Centric AI / CS : 2019/3/29
A European approach to artificial intelligence / EU
The EU Action Plan on Human Rights and Democracy for 2020-2024 / EU : 2020/3/25
The Intellectual Property System Study Group for the Fourth Industrial Revolution- release of the report / METI : 2017/4/19
Ethics Guidelines for Trustworthy AI / EU 2019/4/8
Model AI Governance Framework / PDPC, Singapore : 2019/1/23
10 Principles for Ethical AI / UNI Global Union : 2017/12/11
ASILOMAR AI PRINCIPLES / Future of Life Institute : 2017/2/3
Laws & Regulations
Proposal for a Regulation laying down harmonised rules on artificial intelligence / EU : 2021/4/21
Various guidelines (contract/ethics etc.)
“Governance Guidelines for Implementation of AI Principles Ver. 1.1” Compiled / METI : 2022/1/28
Machine Learning Quality Management Guideline / National Institute of Advanced Industrial Science and Technology (AIST)
Guidebook for Utilization of Camera Images Ver. 3.0 Formulated / METI : 2022/3/22
Responsible Limits on Facial Recognition Use Case: Flow Management / World Economic Forum : 2020/12/14
Contract Guidelines on Utilization of AI and Data / METI : 2018/6
Professional development & Education
AI for Everyone (AI literacy course) (provided in Japanese) DeepLearning.AI/Japan Deep Learning Association
JDLA Deep Learning for GENERAL (provided in Japanese) /Japan Deep Learning Association
Rules & practices of industry
Guidelines on Assessment of AI Reliability in the Field of Plant Safety / METI/MHLW/FDMA : 2021/3/30
Artificial Intelligence Ethical Guidelines / JSAI : 2017/5/3
Principles for Utilization of Human Resources Data(original in Japanese) / People Analytics and HR Technology Association: 2022/4/30
JICDAQ Declaration / JICDAQ : 2020/12/1
Governance body for service providers
Provides service providers with the indicators and standards when they need to develop AI governance
Standardization & Certification
STANDARDS BY ISO/IEC JTC 1/SC 42 Artificial intelligence / ISO/IEC
Study Group on Automated Train Operation Technology : FY2019 Summary (original in Japanese) / MLIT : 2020/7/3
Ethically Aligned Design First Edition / IEEE：2019/3/25
Audit & Assurance
Artificial Intelligence – Considerations for the Profession of Internal Auditing / The Institute of Internal Auditors (IIA) : 2017/10/16
Insurance (third-party insurance)
Accident investigation
Progress Report on the Investigation of Railway Personal Injury Accidents (original in Japanese) / MLIT : 2020/2/27
AI service provider/developer
Individual company or organization, AI governance entity
Management
Organizational management
AI Governance Survey / Deloitte Touche Tohmatsu LCC : 2022/4
AI service
AI Service and Risk Coordination Study Group / Institute for Future Initiatives, the University of Tokyo
Users
AI service users
Business use
Daily life use
Third-party (data provider)
Third-party providing data for AI service development
Data provision
Governance body for Users
Provides users with protection and assurance in the event of AI-related problems or incidents.
Mutual info. sharing (policy/citizens/NGOs)
Partnership on AI
The Artificial Intelligence Incident Database
Case examples of the Product Liability Act (original in Japanese) / CAA
User support/UI/UX
Insurance (first-party insurance)
consumer protection
Notification System of Consumer Safety Act / CAA
Environment management body (for cyberspace and physical space)/ Third-party organization
Monitors the data and algorithms required for AI services, and provides a security environment, and “third-party organization” that responds to incidents