Record the near miss and preserve relevant evidence | AIGP
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Record the near miss and preserve relevant evidence: What should governance require now?

AIGP Understanding How to Govern AI Development Hard

A near miss remains valuable governance evidence: preserve it, document uncertainty, and investigate before selecting corrective action.

The question

An education administration model wrongly flags a student, but the alert was caught before action. Staff cannot yet determine whether the cause was data drift, a model defect, or workflow misuse. What should governance require now?

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  1. Retrain immediately using the flagged student’s record.
    Immediate retraining may be inappropriate before determining cause, and using one record may introduce privacy or representativeness concerns.
  2. Close the alert after staff confirm the student was unaffected.
    Confirmation of no realized harm does not explain the failure or prevent recurrence, especially with competing causal hypotheses.
  3. Record the near miss and preserve relevant evidence.
    Documenting the event and preserving evidence supports investigation, trend analysis, corrective action, and proportionate oversight despite uncertain cause.
  4. Classify the event as harmless because no action occurred.
    A prevented error still reveals a plausible failure mode and provides evidence needed to assess controls and recurrence risk.
The trap
Near misses matter because they expose failure modes even when human oversight prevents realized harm.

How to remember it

A near miss remains valuable governance evidence: preserve it, document uncertainty, and investigate before selecting corrective action.

How many of these would you get right?

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More Understanding How to Govern AI Development questions

Part of the Certsqill AIGP question bank · Understanding How to Govern AI Development · Every answer, right and wrong, comes with its own explanation.