Japan AI Guidelines
Japanese Social Principles of Human-Centric AI
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Framework Domains (11)
Governance
| Code | Title |
|---|---|
| JP-AIG-11 | AI System Inventory |
| JP-AIG-18 | Stakeholder Engagement |
Incident Response
| Code | Title |
|---|---|
| JP-AIG-16 | Incident Reporting and Learning |
Japan AI Guidelines: AI Accountability & Oversight
Human oversight and accountability for AI (Japan AI Guidelines)
| Code | Title |
|---|---|
| JP-AI-16 | Human oversight mechanisms |
| JP-AI-17 | Accountability framework for AI systems |
| JP-AI-18 | AI incident reporting and response |
| JP-AI-19 | Regulatory compliance for AI |
| JP-AI-20 | Third-party AI audit requirements |
Japan AI Guidelines: AI Data Governance
Governing data used in AI systems (Japan AI Guidelines)
| Code | Title |
|---|---|
| JP-AI-11 | Training data quality and governance |
| JP-AI-12 | Data bias assessment and mitigation |
| JP-AI-13 | Data provenance and lineage tracking |
| JP-AI-14 | Privacy protection in AI training data |
| JP-AI-15 | Data retention for AI models |
Japan AI Guidelines: AI Risk Management
Managing risks associated with AI systems (Japan AI Guidelines)
| Code | Title |
|---|---|
| JP-AI-01 | AI risk identification and assessment |
| JP-AI-02 | AI system categorization by risk level |
| JP-AI-03 | Bias detection and mitigation |
| JP-AI-04 | AI model validation and testing |
| JP-AI-05 | Ongoing AI risk monitoring |
Japan AI Guidelines: AI Safety & Security
Ensuring AI system safety and security (Japan AI Guidelines)
| Code | Title |
|---|---|
| JP-AI-21 | AI system robustness and resilience |
| JP-AI-22 | Adversarial attack protection |
| JP-AI-23 | AI model security and integrity |
| JP-AI-24 | Safe AI deployment procedures |
| JP-AI-25 | AI system lifecycle management |
Japan AI Guidelines: AI Transparency & Explainability
Ensuring transparency in AI decision-making (Japan AI Guidelines)
| Code | Title |
|---|---|
| JP-AI-06 | AI system documentation requirements |
| JP-AI-07 | Algorithmic transparency measures |
| JP-AI-08 | Explainability requirements for high-risk AI |
| JP-AI-09 | User notification of AI interactions |
| JP-AI-10 | Record-keeping for AI decisions |
Operations
| Code | Title |
|---|---|
| JP-AIG-13 | Human Oversight Controls |
| JP-AIG-14 | Model Evaluation and Monitoring |
Principle
| Code | Title |
|---|---|
| JP-AIG-01 | Human Centric AI Principle |
| JP-AIG-02 | Safety Principle |
| JP-AIG-03 | Fairness Principle |
| JP-AIG-04 | Privacy Principle |
| JP-AIG-05 | Security Principle |
| JP-AIG-06 | Transparency Principle |
| JP-AIG-07 | Accountability Principle |
| JP-AIG-08 | Education and Literacy Principle |
| JP-AIG-09 | Fair Competition Principle |
| JP-AIG-10 | Innovation Principle |
Risk Management
| Code | Title |
|---|---|
| JP-AIG-12 | Pre Deployment Risk Assessment |
| JP-AIG-15 | Generative AI Specific Risks |
Vendor Management
| Code | Title |
|---|---|
| JP-AIG-17 | Third Party AI Supplier Assurance |
Your Compliance Coverage
If you comply with Japan AI Guidelines, you already cover:
ISO 42001
33%
14 controls mapped
Compare →Australia AI Ethics Framework
33%
14 controls mapped
Compare →China AI Regulations
33%
14 controls mapped
Compare →+ 591 more: Brazil AI Framework (33%), EU AI Act (33%)
See all 594 mapped frameworks ↓Maps to 594 other frameworks
Frequently Asked Questions
What is Japan AI Guidelines?
Japan AI Guidelines is a compliance framework from Japan with 11 domains and 43 controls. Japanese Social Principles of Human-Centric AI It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does Japan AI Guidelines have?
Japan AI Guidelines has 43 controls organised across 11 domains. The largest domains are Principle (10 controls), Japan AI Guidelines: AI Accountability & Oversight (5 controls), Japan AI Guidelines: AI Data Governance (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does Japan AI Guidelines map to?
Japan AI Guidelines maps to 594 other compliance frameworks. The top mapping partners are ISO 42001 (33% coverage), Australia AI Ethics Framework (33% coverage), China AI Regulations (33% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with Japan AI Guidelines compliance?
Start your Japan AI Guidelines compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about Japan AI Guidelines requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 43 controls and track your progress.
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