AI GOVERNANCE GUIDELINES FOR IMPLEMENTATION OF AI PRINCIPLES VER. 1.1
AI原則実践のためのガバナンス・ガイドライン ver. 1.1
Start date :2021
End date :
Name of responsible governmental body :
- Ministry of Economy, Trade and Industry (METI;経済産業省)
Description :
- This Guideline summarizes what to do to put the Social Principles of Human-Centric AI (decided by the Council for Integrated Innovation Strategy) into practice.
Objectives:
- This Guideline provides practical guidance for AI system operators as well as AI system developers.
OECD AI principle adressed:
- Inclusive growth, sustainable development and well-being
- Human-centred values and fairness
- Transparency and explainability
- Robustness, security and safety
- Accountability
- Providing an enabling policy environment for AI
- International co-operation for trustworthy AI
Relevant policy area covered:
- Corporate governance
- Digital economy
- Innovation
- Public governance
Related to a theme:
Estimated budget expenditure (range per year):
- Not applicable
Background including shifts in the policy initiative:
- N.A
Policy initiative is a structural reform:
- No
Evaluated:
- No
Link to evaluation or reports:
- N.A
Public access URL:
Funding from the private sector:
- No
Type of evaluation:
- N.A
Evaluation provides input to:
- N.A
Evaluation performed by:
- N.A
Policy instruments :
Emerging AI-related regulation
- Type : Emerging AI-related regulation
- Name in English : AI Governance Guidelines for Implementation of AI Principles Ver. 1.0
- Country : Japan
- Role of government : Risk mitigation (e.g. consumer and social protection) | Technology/innovation enabler (e.g. interoperability standards)
- Challenge(s) addressed : Digital security | Risks to fairness (e.g. non-discrimination, gender equality, fairness and diversity) | Transparency and explainability | Risks to human safety (e.g. prevention of physical and mental harm) | Risks to democratic values (e.g. freedom of expression, assembly, association, right to diverse information) | Data protection and right to privacy | Consumer protection | Accountability and responsibility (e.g liability for unethical use and misuse) | Risks to human freedom and autonomy
- Relevance to well-being : Knowledge and skills
- Type(s) of regulation : Self-regulation (e.g. codes of conduct, guidelines, standards)
- International agreement : Non-binding instruments (e.g. memorandums of understanding, AI principles, standards)
- Regulatory approach : Performance or output-based regulation (e.g. safety thresholds, principle-based legislation)
- Level of governance : National
- Approach to monitor compliance : Regulated parties are simply required to share compliance data (no regulator support)
Last updated : Sep 6, 2022
