NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MP-1.5: Organizational risk tolerances are determined and documented

Organizational risk tolerances are determined and documented. Tolerance is written down at a level that lets someone decide whether a measured risk is acceptable, and it is traceable to an authority that can set it.

Other controls in MAP - NIST AI RMF 1.0

AIRMF-MP-1.1 Intended purpose, potentially beneficial uses, context-specific laws, norms and expectations, and prospective settings in which the AI system will be deployed are understood and documented
AIRMF-MP-1.2 Inter-disciplinary AI actors, competencies, skills and capacities for establishing context reflect demographic diversity and broad domain and user experience expertise, and their participation is documented
AIRMF-MP-1.3 The organization's mission and relevant goals for the AI technology are understood and documented
AIRMF-MP-1.4 The business value or context of business use has been clearly defined or, in the case of assessing existing AI systems, re-evaluated
AIRMF-MP-1.6 System requirements are elicited from and understood by relevant AI actors, and design decisions take socio-technical implications into account to address AI risks
AIRMF-MP-2.1 The specific task, and methods used to implement the task, that the AI system will support is defined
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
AIRMF-MP-2.3 Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection, system trustworthiness, and construct validation

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-1.5 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 gaps If 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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