An AI system provides a risk score to loan reviewers.
Reviewers need to understand its purpose, limits, and where humans decide.
Choose two useful measures.
Document purpose, data, limitations, evaluation, human involvement, and ownership so users can make informed decisions.
Detailed explanation
Users cannot ask for explanation or correction.
Users can interpret the score within its tested scope.
Clear oversight reduces overreliance and clarifies accountability.
This encourages unsafe overconfidence.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドのDomain 4.2で透明性・説明可能性・人間の監督を確認する。
Official references
What to confirm
モデルの目的・限界と、人間が確認・判断する範囲を説明できる。
Key points
- Purpose and limits
- Human involvement
- Accountability
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
Audience fit
Technical records and user-facing explanations should each provide the information their audience needs.
Correction path
Explanations are more useful when they support review or correction rather than merely display a score.