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NIST AI Risk Management Framework - Footnote 26

partial85% confidence

1 evidence check

Last checked: 4/3/2026

The source does not explicitly state that 'full harmonization remains unlikely due to diversity of approaches'. It only mentions efforts to harmonize implementation and the adoption of principles to specific use cases. The source does not explicitly state that 'international collaboration offering a more realistic pathway for coordination on shared principles'. It only mentions the adoption of principles to specific use cases.

Evidence — 1 source, 1 check

partial85%Haiku 4.5 · 4/3/2026
Found: Efforts include mapping concepts, aligning guidelines, and developing crosswalks to support harmonized implementation. However, research indicates that full harmonization remains unlikely due to diver

Note: The source does not explicitly state that 'full harmonization remains unlikely due to diversity of approaches'. It only mentions efforts to harmonize implementation and the adoption of principles to specific use cases. The source does not explicitly state that 'international collaboration offering a more realistic pathway for coordination on shared principles'. It only mentions the adoption of principles to specific use cases.

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Record type: citation

Record ID: page:nist-ai-rmf:fn26

Source Check: NIST AI Risk Management Framework - Footnote 26 | Longterm Wiki