The AI Governance Ecosystem

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 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

“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


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


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

Data distribution (incl. government data)

Open Data Catalogue (The government of Japan) / MIC/CS : 2014/9/29

Data Society Alliance

Development and operational tools (MLOps etc.)


FactCheck Navi (provided in Japanese) / FactCheck Initiative Japan

Security Management

The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update / NSTC, US : 2019/6/21


The Need to Improve the Effectiveness of the Whistleblower System (original in Japanese) / CAA : 2019/10/11

“FY 2016 Report on the Actual Status of the Whistleblowing System in the Private Sector (original in Japanese) / CAA : 2017/1

Third-party Committee