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Cross-Framework Mapping

ISO 31000vsJapan AI Guidelines

See exactly how ISO 31000 controls map to Japan AI Guidelines. Pre-computed mappings, identified gaps, and coverage analysis.

12
Controls Mapped
31
Gaps Found
14%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO 31000 maps to Japan AI Guidelines with 14% coverage across 6 directly mapped controls. Analysis of 43 ISO 31000 controls identifies 37 compliance gaps — primarily concentrated in Principles.

Source: TheArtOfService Knowledge Graph | 43 controls analysed | 700 frameworks | 323K+ cross-framework mappings

Control Mappings

Showing 12 of 12 mapped controls across 3 domains. Sign up to explore all 323K+ mappings across 700 frameworks.

ISO 31000: Risk Framework & Governance(6 mappings)

ISO31000-01Risk management policy and scope3 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
ISO31000-05Risk management integration3 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

ISO 31000: Risk Assessment(3 mappings)

ISO31000-07Risk analysis and evaluation
→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
ISO31000-09Risk scenario development
→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
ISO31000-10Risk interdependency analysis
→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

ISO 31000: Risk Monitoring & Review(3 mappings)

ISO31000-18Risk register maintenance3 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

Related Comparisons

Other ISO 31000 comparisons

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Other Japan AI Guidelines comparisons

ISO/IEC 23894:2023 vs Japan AI Guidelines6 mappingsNIST Privacy Framework vs Japan AI Guidelines5 mappingsISO/IEC 27557:2022 - Organisational Privacy Risk Management vs Japan AI Guidelines5 mappingsIEC 62443 vs Japan AI Guidelines5 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs Japan AI Guidelines5 mappingsAPI 1164 vs Japan AI Guidelines5 mappingsISO 27019 vs Japan AI Guidelines5 mappingsUK Defence Standard 05-138 - Cyber Security for Defence Suppliers vs Japan AI Guidelines4 mappings

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What are the key differences between ISO 31000 and Japan AI Guidelines?

ISO 31000 has 43 controls across its framework, while Japan AI Guidelines covers 13 controls. Direct mapping analysis identifies 6 overlapping controls (14% coverage). The frameworks diverge most significantly in Principles, where 9 ISO 31000 controls have no direct Japan AI Guidelines equivalent.

How many controls map between ISO 31000 and Japan AI Guidelines?

Of 43 total ISO 31000 controls, 6 map directly to Japan AI Guidelines controls — representing 14% coverage. The remaining 37 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping ISO 31000 to Japan AI Guidelines?

37 ISO 31000 controls have no direct equivalent in Japan AI Guidelines. The highest concentration of gaps is in Principles with 9 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 ISO 31000 and Japan AI Guidelines?

The domain with the highest gap count is Principles (9 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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