Japan AI Guidelines
Japanese Social Principles of Human-Centric AI
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Framework Domains (13)
JP AI Accountability + Governance
| Code | Title |
|---|---|
| JP-AIG-Accountability-Governance-AI-Inventory-Stakeholder-Engagement-Board-Reporting-Tone-at-Top | Japan AI Guidelines Accountability + Governance + AI Inventory + Stakeholder Engagement + Board Reporting + Tone at Top + AI Ethics Committee + DPO + AI Officer + Regulatory Compliance + Multi-Stakeholder |
JP AI Continuous Monitoring + Lifecycle
| Code | Title |
|---|---|
| JP-AIG-Continuous-Monitoring-Lifecycle-Model-Evaluation-Performance-Drift-Post-Deployment | Japan AI Guidelines Continuous Monitoring + AI System Lifecycle Management + Model Evaluation + Performance Drift + Concept Drift + Post-Deployment + Retraining Triggers + Safe Update + Decommissioning + Model Card Versioning |
JP AI Data Governance
| Code | Title |
|---|---|
| JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-Protection | Japan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle |
JP AI Fairness + Bias
| Code | Title |
|---|---|
| JP-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-Heritage | Japan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness |
JP AI Generative + Foundation Models
| Code | Title |
|---|---|
| JP-AIG-Generative-AI-Foundation-Model-Specific-Risks-Hallucination-Watermarking-Copyright-LLM-Multimodal | Japan AI Guidelines Generative AI + Foundation Model Specific Risks + Hallucination + Watermarking + Copyright + LLM + Multimodal + Prompt Injection + Jailbreak + Model Extraction + Pre-Deployment Capability Evaluation + AISI Frontier AI |
JP AI Human Oversight
| Code | Title |
|---|---|
| JP-AIG-Human-Oversight-Control-In-the-Loop-On-the-Loop-Article-22-GDPR-Equivalent-Automated-Decision-Restrictions | Japan AI Guidelines Human Oversight + Human-in-the-Loop + Human-on-the-Loop + Human-out-of-Loop + Article 22 GDPR Equivalent APPI Automated Decision Restrictions + Override Capability + Pause Functionality + Audit Trail |
JP AI Incident Reporting
| Code | Title |
|---|---|
| JP-AIG-Incident-Reporting-Response-AISI-METI-Notification-G7-Hiroshima-Reporting-Mechanism-Voluntary | Japan AI Guidelines AI Incident Reporting + Response + AISI/METI Notification + G7 Hiroshima Reporting Mechanism + Voluntary + AI Incident Database + OECD AI Incidents Monitor + Sector Regulator Notification + Coordinated Vulnerability Disclosure |
JP AI Risk-Based Categorisation
| Code | Title |
|---|---|
| JP-AIG-Risk-Based-AI-System-Categorisation-Tiered-Approach-EU-AI-Act-Aligned-Generative-Foundation-Models | Japan AI Guidelines Risk-Based AI System Categorisation + Tiered Approach + EU AI Act Aligned + Generative AI + Foundation Models + High-Risk + Limited-Risk + Minimal-Risk + AISI Capability-Based Thresholds |
JP AI Safety + AISI
| Code | Title |
|---|---|
| JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-Teaming | Japan AI Guidelines Safety + Validation + Testing + Robustness + AISI AI Safety Institute (14 Feb 2024) + Pre-Deployment Evaluation + Red Teaming + Capability Evaluations + AI Incident Database + Safe Deployment + AI Safety Reports |
JP AI Scope + Society 5.0 + Strategy
| Code | Title |
|---|---|
| JP-AIG-Scope-METI-MIC-AI-Guidelines-Business-v1.0-April2024-Society-5.0-Cabinet-Office-AI-Strategy-Council | Japan AI Guidelines Scope + METI/MIC AI Guidelines for Business v1.0 (April 2024) + Society 5.0 + Cabinet Office AI Strategy Council + 10 Principles 2019 Heritage + Education + Literacy + Fair Competition + Innovation Principles |
JP AI Security + Adversarial
| Code | Title |
|---|---|
| JP-AIG-Security-Adversarial-Attack-Protection-Prompt-Injection-Data-Poisoning-Model-Extraction-AISI-Red-Team | Japan AI Guidelines Security + Adversarial Attack Protection + Prompt Injection + Data Poisoning + Model Extraction + Membership Inference + AISI Red-Team + MLSecOps + Supply Chain Security + Foundation Model Vulnerabilities |
JP AI Third-Party + Supply Chain
| Code | Title |
|---|---|
| JP-AIG-Third-Party-AI-Supplier-Assurance-Foundation-Model-Provider-AISI-Evaluation-Voluntary-Audit | Japan AI Guidelines Third-Party AI Supplier Assurance + Foundation Model Provider + AISI Evaluation + Voluntary Audit + ISO/IEC 42001 AI Management System + Sub-Processor + Cloud AI Service Provider + Open Source AI Governance |
JP AI Transparency + Documentation
| Code | Title |
|---|---|
| JP-AIG-Transparency-Documentation-Model-Card-System-Card-Tier-Based-Disclosure-Hiroshima-Code-of-Conduct | Japan AI Guidelines Transparency + Documentation + Model Card + System Card + Datasheet + Tier-Based Disclosure + Hiroshima Code of Conduct + AI Generated Content + Watermarking + C2PA + User Notification |
Your Compliance Coverage
If you comply with Japan AI Guidelines, you already cover:
ISO/IEC 23894:2023
46%
6 controls mapped
Compare →NIST Privacy Framework
38%
5 controls mapped
Compare →ISO/IEC 27557:2022 - Organisational Privacy Risk Management
38%
5 controls mapped
Compare →+ 125 more: IEC 62443 (38%), NIST AI Risk Management Framework (AI RMF 1.0) (38%)
See all 128 mapped frameworks ↓Maps to 128 other frameworks
Frequently Asked Questions
What is Japan AI Guidelines?
Japan AI Guidelines is a compliance framework from Japan with 13 domains and 13 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 13 controls organised across 13 domains. The largest domains are JP AI Accountability + Governance (1 controls), JP AI Continuous Monitoring + Lifecycle (1 controls), JP AI Data Governance (1 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 128 other compliance frameworks. The top mapping partners are ISO/IEC 23894:2023 (46% coverage), NIST Privacy Framework (38% coverage), ISO/IEC 27557:2022 - Organisational Privacy Risk Management (38% 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 13 controls and track your progress.
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