NIST AI Risk Management Framework (AI RMF 1.0)
MAP - NIST AI RMF 1.0

NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MP-2.2: Information about the AI system's knowledge limits and how system output may be utilized and overseen by humans is documented

Information about the AI system’s knowledge limits and how system output may be utilized and overseen by humans is documented. Documentation provides sufficient information to assist relevant AI actors when making informed decisions and taking subsequent actions. The system's knowledge limits are written down alongside how output should be used and overseen, in enough detail for a downstream actor to make an informed decision.

Maintained by Gerard BlokdykVerified against the published standard Control text last updated

What else in your programme already covers this

This control maps to 4 controls across 2 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

ISO/IEC 42001:2023 · 3 controls

  • A.6.2.7 AI system technical documentation
  • A.8.2 System documentation and information for users
  • A.8.5 Information for interested parties

EU AI Act · 1 control

  • EUAI-Art.13 Transparency and provision of information to deployers

Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.

Other controls in MAP - NIST AI RMF 1.0

You are reading one control. How much of NIST AI Risk Management Framework (AI RMF 1.0) have you already done?

NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MP-2.2 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of NIST AI Risk Management Framework (AI RMF 1.0) your existing evidence covers. Hold EU AI Act and 48 of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls already carry evidence.

If you hold EU AI Act66.7% covered · 24 gapsIf you hold ISO/IEC 42001:202347.2% covered · 38 gaps

Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 10 were rejected on the EU AI Act pair alone.

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The graph holds this control, the 4 it maps to, and the evidence behind each claim, over MCP and REST.

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