Japan AI GuidelinesvsISO 22320:2018
See exactly how Japan AI Guidelines controls map to ISO 22320:2018. Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
Japan AI Guidelines maps to ISO 22320:2018 with 23% coverage across 3 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 10 compliance gaps — primarily concentrated in JP AI Third-Party + Supply Chain.
Source: TheArtOfService Knowledge Graph | 13 controls analysed | 718 frameworks | 332K+ cross-framework mappings
Control Mappings
Showing 3 of 3 mapped controls across 3 domains. Sign up to explore all 332K+ mappings across 718 frameworks.
JP AI Continuous Monitoring + Lifecycle(1 mappings)
JP AI Fairness + Bias(1 mappings)
JP AI Safety + AISI(1 mappings)
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Other ISO 22320:2018 comparisons
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What are the key differences between Japan AI Guidelines and ISO 22320:2018?
Japan AI Guidelines has 13 controls across its framework, while ISO 22320:2018 covers 37 controls. Direct mapping analysis identifies 3 overlapping controls (23% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct ISO 22320:2018 equivalent.
How many controls map between Japan AI Guidelines and ISO 22320:2018?
Of 13 total Japan AI Guidelines controls, 3 map directly to ISO 22320:2018 controls — representing 23% coverage. The remaining 10 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Japan AI Guidelines to ISO 22320:2018?
10 Japan AI Guidelines controls have no direct equivalent in ISO 22320:2018. The highest concentration of gaps is in JP AI Third-Party + Supply Chain with 1 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 Japan AI Guidelines and ISO 22320:2018?
The domain with the highest gap count is JP AI Third-Party + Supply Chain (1 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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