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Cross-Framework Mapping

ISO/IEC 23894:2023vsJapan AI Guidelines

See exactly how ISO/IEC 23894:2023 controls map to Japan AI Guidelines. Pre-computed mappings, identified gaps, and coverage analysis.

18
Controls Mapped
67
Gaps Found
9%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO/IEC 23894:2023 maps to Japan AI Guidelines with 9% coverage across 8 directly mapped controls. Analysis of 85 ISO/IEC 23894:2023 controls identifies 77 compliance gaps — primarily concentrated in Risk management process – ISO/IEC 23894:2023.

Source: TheArtOfService Knowledge Graph | 85 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 18 of 18 mapped controls across 3 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

Framework (Clause 5)(12 mappings)

ISO23894-5.1Leadership and Commitment4 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
ISO23894-5.2AI Risk Management Integration4 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
ISO23894-5.5Framework Evaluation4 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

Process (Clause 6)(4 mappings)

ISO23894-6.3AI Risk 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
ISO23894-6.3.1AI Risk Identification2 targets
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan 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-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
ISO23894-6.3.3AI Risk 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

AI-Specific Risk Sources (Annex A)(2 mappings)

ISO23894-A.1Data Quality and Representativeness
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan 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
ISO23894-A.5Privacy and Data Protection in AI
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan 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

Related Comparisons

Other ISO/IEC 23894:2023 comparisons

ISO/IEC 23894:2023 vs ISO 31000:201848 mappingsISO/IEC 23894:2023 vs ISO 3100034 mappingsISO/IEC 23894:2023 vs ISO/IEC 27557:2022 - Organisational Privacy Risk Management24 mappingsISO/IEC 23894:2023 vs ISO/IEC 27003:201722 mappingsISO/IEC 23894:2023 vs AS9100D - Aerospace Quality Management System20 mappingsISO/IEC 23894:2023 vs ISO 39001:2012 - Road Traffic Safety Management18 mappingsISO/IEC 23894:2023 vs ISO 41001:2018 - Facility Management Systems18 mappingsISO/IEC 23894:2023 vs ISO 22313:2020 - Guidance on Business Continuity Management Systems18 mappings

Other Japan AI Guidelines comparisons

NIST 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 mappingsProtective Security Policy Framework (PSPF) Release 2024 vs Japan AI Guidelines4 mappings

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What are the key differences between ISO/IEC 23894:2023 and Japan AI Guidelines?

ISO/IEC 23894:2023 has 85 controls across its framework, while Japan AI Guidelines covers 13 controls. Direct mapping analysis identifies 8 overlapping controls (9% coverage). The frameworks diverge most significantly in Risk management process – ISO/IEC 23894:2023, where 17 ISO/IEC 23894:2023 controls have no direct Japan AI Guidelines equivalent.

How many controls map between ISO/IEC 23894:2023 and Japan AI Guidelines?

Of 85 total ISO/IEC 23894:2023 controls, 8 map directly to Japan AI Guidelines controls — representing 9% coverage. The remaining 77 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping ISO/IEC 23894:2023 to Japan AI Guidelines?

77 ISO/IEC 23894:2023 controls have no direct equivalent in Japan AI Guidelines. The highest concentration of gaps is in Risk management process – ISO/IEC 23894:2023 with 17 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/IEC 23894:2023 and Japan AI Guidelines?

The domain with the highest gap count is Risk management process – ISO/IEC 23894:2023 (17 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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