Human Oversight Design and Enablement

Design systems and deployment guidance so qualified humans can monitor, interpret, override and safely stop high-risk AI.

Use this control to connect a provider's oversight design with the deployer's practical ability to supervise high-risk AI.

1. Identify the decisions or operations that need human oversight and the skills, authority and support required.
2. Define what information overseers need to understand outputs, recognize anomalies and avoid automatic over-reliance on AI.
3. Test the applicable options to disregard, override, interrupt or stop the system safely. Assign trained people to those responsibilities before use.
4. Record interventions and use the findings to improve the design and instructions. Apply any special requirements for biometric identification or real-world testing separately. A human sign-off that cannot meaningfully challenge the output is not effective oversight.

Before release and deployment; on design, role or use changes; during operation and at organization-defined effectiveness reviews.

Oversight design and role assignments Training, authority and escalation arrangements User-interface tests and safe-stop or override test results Records of interventions, exceptions and follow-up actions Specialized verification arrangements where applicable

Walk through an abnormal-output scenario with an assigned overseer. Check that the person can recognize the problem, access the needed information and intervene within their authority. Trace a real intervention to its recorded outcome where one exists.