NIST AI Risk Management Framework (AI RMF 1.0)vsProposal for a Directive on improving working conditions in platform work (COM(2023) 491)
See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to Proposal for a Directive on improving working conditions in platform work (COM(2023) 491). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
NIST AI Risk Management Framework (AI RMF 1.0) maps to Proposal for a Directive on improving working conditions in platform work (COM(2023) 491) with 15% coverage across 8 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 44 compliance gaps — primarily concentrated in Measure.
Source: TheArtOfService Knowledge Graph | 52 controls analysed | 715 frameworks | 418K+ cross-framework mappings
Control Mappings
Showing 20 of 27 mapped controls across 4 domains. Sign up to explore all 418K+ mappings across 715 frameworks.
Govern(11 mappings)
Manage(2 mappings)
Map(4 mappings)
Measure(3 mappings)
+7 more mappings
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Related Comparisons
Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons
Other Proposal for a Directive on improving working conditions in platform work (COM(2023) 491) comparisons
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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Proposal for a Directive on improving working conditions in platform work (COM(2023) 491)?
NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while Proposal for a Directive on improving working conditions in platform work (COM(2023) 491) covers 49 controls. Direct mapping analysis identifies 8 overlapping controls (15% coverage). The frameworks diverge most significantly in Measure, where 12 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Proposal for a Directive on improving working conditions in platform work (COM(2023) 491) equivalent.
How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Proposal for a Directive on improving working conditions in platform work (COM(2023) 491)?
Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 8 map directly to Proposal for a Directive on improving working conditions in platform work (COM(2023) 491) controls — representing 15% coverage. The remaining 44 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 Proposal for a Directive on improving working conditions in platform work (COM(2023) 491)?
44 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Proposal for a Directive on improving working conditions in platform work (COM(2023) 491). The highest concentration of gaps is in Measure with 12 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 Proposal for a Directive on improving working conditions in platform work (COM(2023) 491)?
The domain with the highest gap count is Measure (12 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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