Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsJapan AI Guidelines

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to Japan AI Guidelines. Pre-computed mappings, identified gaps, and coverage analysis.

11
Controls Mapped
41
Gaps Found
12%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to Japan AI Guidelines with 12% coverage across 6 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 46 compliance gaps — primarily concentrated in AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 11 of 11 mapped controls across 1 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

AI RMF Functions(11 mappings)

AIRMF-GOV-01AI Risk Management Policies4 targets
JP-AIG-Continuous-Monitoring-Lifecycle-Model-Evaluation-Performance-Drift-Post-DeploymentJapan 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-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-HeritageJapan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness
JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-TeamingJapan 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-AIG-Transparency-Documentation-Model-Card-System-Card-Tier-Based-Disclosure-Hiroshima-Code-of-ConductJapan AI Guidelines Transparency + Documentation + Model Card + System Card + Datasheet + Tier-Based Disclosure + Hiroshima Code of Conduct + AI Generated Content + Watermarking + C2PA + User Notification
AIRMF-GOV-02AI Risk Culture
JP-AIG-Transparency-Documentation-Model-Card-System-Card-Tier-Based-Disclosure-Hiroshima-Code-of-ConductJapan AI Guidelines Transparency + Documentation + Model Card + System Card + Datasheet + Tier-Based Disclosure + Hiroshima Code of Conduct + AI Generated Content + Watermarking + C2PA + User Notification
AIRMF-MAN-01AI Risk Treatment3 targets
JP-AIG-Continuous-Monitoring-Lifecycle-Model-Evaluation-Performance-Drift-Post-DeploymentJapan 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-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-HeritageJapan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness
JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-TeamingJapan 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
AIRMF-MAP-02AI Risk Identification
JP-AIG-Scope-METI-MIC-AI-Guidelines-Business-v1.0-April2024-Society-5.0-Cabinet-Office-AI-Strategy-CouncilJapan 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
AIRMF-MAP-03AI Impact Assessment
JP-AIG-Scope-METI-MIC-AI-Guidelines-Business-v1.0-April2024-Society-5.0-Cabinet-Office-AI-Strategy-CouncilJapan 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
AIRMF-MEA-03AI Transparency and Explainability
JP-AIG-Transparency-Documentation-Model-Card-System-Card-Tier-Based-Disclosure-Hiroshima-Code-of-ConductJapan AI Guidelines Transparency + Documentation + Model Card + System Card + Datasheet + Tier-Based Disclosure + Hiroshima Code of Conduct + AI Generated Content + Watermarking + C2PA + User Notification

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Japan AI Guidelines?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while Japan AI Guidelines covers 13 controls. Direct mapping analysis identifies 6 overlapping controls (12% coverage). The frameworks diverge most significantly in AI RMF Functions, where 25 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Japan AI Guidelines equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Japan AI Guidelines?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 6 map directly to Japan AI Guidelines controls — representing 12% coverage. The remaining 46 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to Japan AI Guidelines?

46 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Japan AI Guidelines. The highest concentration of gaps is in AI RMF Functions with 25 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and Japan AI Guidelines?

The domain with the highest gap count is AI RMF Functions (25 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.