NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MN-2.4: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use
Mechanisms are in place and applied, responsibilities are assigned and understood to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. The ability to bypass, disengage or deactivate the system exists technically, is assigned to an understood role, and has been demonstrated to work.
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 1 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
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NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MN-2.4 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.