MANAGE 1.1 Go or no-go determination
Determining whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed: the go or no-go decision informed by MAP and MEASURE outputs.

Turning MAP and MEASURE results into decisions: the go or no-go determination, risk treatment priorities, responses to high-priority risks and residual risk documentation.
Determining whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed: the go or no-go decision informed by MAP and MEASURE outputs.
Prioritizing treatment of documented AI risks based on impact, likelihood and available resources or methods, with more oversight and mitigation for systems with lower risk tolerance.
Developing, planning and documenting responses to the AI risks deemed high priority in MAP; response options include mitigating, transferring, avoiding or accepting the risk.
Documenting negative residual risks (the sum of all unmitigated risks) to downstream acquirers of AI systems and to end users, and disclosing them with safe operation requirements and known limitations.

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