ICMM Mining Principles (2024 Update)vsNIST AI Risk Management Framework (AI RMF 1.0)
See exactly how ICMM Mining Principles (2024 Update) controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
ICMM Mining Principles (2024 Update) maps to NIST AI Risk Management Framework (AI RMF 1.0) with 30% coverage across 3 directly mapped controls. Analysis of 10 ICMM Mining Principles (2024 Update) controls identifies 7 compliance gaps — primarily concentrated in Responsible Production and Social Performance.
Source: TheArtOfService Knowledge Graph | 10 controls analysed | 693 frameworks | 819K+ cross-framework mappings
Control Mappings
Showing 6 of 6 mapped controls across 2 domains. Sign up to explore all 819K+ mappings across 693 frameworks.
Human Rights and Risk(2 mappings)
Health, Safety and Environment(4 mappings)
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What are the key differences between ICMM Mining Principles (2024 Update) and NIST AI Risk Management Framework (AI RMF 1.0)?
ICMM Mining Principles (2024 Update) has 10 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 31 controls. Direct mapping analysis identifies 3 overlapping controls (30% coverage). The frameworks diverge most significantly in Responsible Production and Social Performance, where 3 ICMM Mining Principles (2024 Update) controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.
How many controls map between ICMM Mining Principles (2024 Update) and NIST AI Risk Management Framework (AI RMF 1.0)?
Of 10 total ICMM Mining Principles (2024 Update) controls, 3 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 30% coverage. The remaining 7 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping ICMM Mining Principles (2024 Update) to NIST AI Risk Management Framework (AI RMF 1.0)?
7 ICMM Mining Principles (2024 Update) controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Responsible Production and Social Performance with 3 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 ICMM Mining Principles (2024 Update) and NIST AI Risk Management Framework (AI RMF 1.0)?
The domain with the highest gap count is Responsible Production and Social Performance (3 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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