Governance Guidelines for Implementation of AI Principles Ver. 1.1
The Governance Guidelines for Implementation of AI Principles provide action targets and practical examples to assist companies in designing and implementing AI governance systems based on human-centric AI principles. The document covers conditions and risk analysis, goal setting, system design, implementation, evaluation, and re-analysis within an agile governance framework. It is designed as a living document to support voluntary corporate efforts and foster multi-stakeholder understanding.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
AI system developers, operators, and data providers seeking structured guidance on implementing responsible AI governance practices.
What the document contains
The document covers comprehensive guidelines for implementing AI principles through structured action targets, practical examples, and gap analysis methods. It addresses conditions and risk analysis, goal setting, AI management system design, operational implementation, external evaluation, and the continuous re-analysis of risks.
The guidelines are not legally binding and do not guarantee compliance with existing laws or regulations.
- Companies developing and operating AI systems should analyze positive and negative impacts, social acceptance, and their own AI proficiency under top management leadership.
- Organizations should consider setting AI governance goals aligned with the Human-Centric Social Principles of AI, or provide rationale if no specific goals are set.
- Companies must incorporate gap analysis between AI governance goals and their current operational state into an AI management system.
- AI literacy should be strategically improved for management, operators, and developers through appropriate internal or external training resources.
- Companies should ensure transparency and readiness for external explanation regarding the implementation and operating status of their AI management systems.
· A. Introduction · B. Definitions · C. AI Governance Guidelines · D. Experts Involved in the AI Governance Guidelines · E. Bibliography · F. Appendix 1 (List of Action Targets) · G. Appendix 2 (Practical Examples for Gap Analysis between AI Governance Goals and Current State) · H. Appendix 3 (Supplement: Implementation of Agile Governance)
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Action Target 4-1: Companies that develop and operate AI systems should, under the leadership of top management, make sure that they are ready for explanation about the implementation status
C. AI Governance Guidelines, 4. Implementation
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
In the practical implementation of AI principles, particularly as it relates to the practical implementation of the privacy principle, we understand that we need to pay attention to not only AI model building
C. AI Governance Guidelines, 3. System design (1) ①
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Action Target 4-2: Companies that develop and operate AI systems should, under the leadership of top management, monitor and record the status of preliminary and full-scale operations
C. AI Governance Guidelines, 4. Implementation (2)
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Even if a company establishes structures, etc. in accordance with the Guidelines, it does not necessarily mean that the company complies with relevant laws
A. Introduction, 2. Legal Effect of the Guidelines
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Action Target 3-1: Companies that develop and operate AI systems should, under the leadership of top management, identify a gap between AI governance goals and current state
C. AI Governance Guidelines, 3. System design
screening score · 2026-10-23