AI in monitoring: human oversight and 13 vendor questions
The AI label does not say who computes the result, where the data goes, or what happens after model failure. This guide gives a safe decision-support architecture and a list of evidence for acceptance.
- Four layers: calculator, evidence, narrator, decision
- Why "human in the loop" alone does not protect
- 13 vendor questions with the required proof
- Failure modes that must be exercised before purchase
- Acceptance procedure for one report
- What this looks like in Inclify
- Limitations: architecture does not replace responsibility
- FAQ
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