NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MP-3.2: Potential costs, including non-monetary costs, which result from expected or realized AI errors or system functionality and trustworthiness are examined and documented, as connected to organizational risk tolerance
Potential costs, including non-monetary costs, which result from expected or realized AI errors or system functionality and trustworthiness - as connected to organizational risk tolerance - are examined and documented. Costs of error are examined including non-monetary ones such as harm to individuals and communities, and connected explicitly to the tolerance the organisation has set.
Maintained by Gerard Blokdyk·Verified against the published standard ·Control text last updated
What else in your programme already covers this
This control maps to 2 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.
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-3.2 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.
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.