4.2Standard
AI drafts insurance claim decisions.
Separate automatic approval from human review.
Choose two practices.
× Incorrect
Require review based on impact, uncertainty, confidence, exceptions, and appeals and give reviewers evidence and authority to correct or reject.
Detailed explanation
CorrectRequire review based on impact, uncertainty, confidence, exceptions, and appeals
High-risk or uncertain decisions return to a person.
IncorrectProvide review without correction authority or evidence
It is not effective oversight.
CorrectLet reviewers see evidence and limitations and record approve, edit, or reject decisions
Supervision is substantive.
IncorrectAutomatically finalize high-impact decisions when confidence is high
Confidence alone does not address impact or bias.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 4の人的監督、異議申立て、責任分界を確認する。
Official references
What to confirm
人を置くだけでなく、判断材料と介入権限を備えた監督を設計できる。
Key points
- Human review
- Intervention authority
- Appeal
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Human-in-the-loop
A design in which a person reviews or approves a model action at a defined point.
Appeal
A request to reconsider an automated result or decision.
Question IDAWS-AIF-542
EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
Last technical review2026-08-20
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