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.
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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:
Direct beneficiaries:
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 : Technology/innovation enabler (e.g. interoperability standards) | Risk mitigation (e.g. consumer and social protection)
  • Challenge(s) addressed : Risks to human freedom and autonomy  | Accountability and responsibility (e.g liability for unethical use and misuse) | Consumer protection | Transparency and explainability | Risks to democratic values (e.g. freedom of expression, assembly, association, right to diverse information) | Risks to human safety (e.g. prevention of physical and mental harm) | Data protection and right to privacy | Risks to fairness (e.g. non-discrimination, gender equality, fairness and diversity) | Digital security
  • 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 : Jul 5, 2024
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