Explain an AI decision to developers, business users, and customers.
Do not show the same technical material to everyone.
Which design is appropriate?
Tailor purpose, evidence, limits, responsibility, and recourse to what each audience needs to decide safely.
Detailed explanation
Without explanation and recourse, transparency is lost.
This encourages overconfidence and misuse.
Raw weights are not a meaningful explanation for most users.
Different users need different information to make informed decisions.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドDomain 4.2の透明性・説明可能性を確認する。
Official references
What to confirm
同じ説明を全員へ出すのではなく、利用者の役割に合わせる理由を説明できる。
Key points
- Audience
- Evidence
- Limits and recourse
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
Internal technical details and customer-facing reasons can differ while both remain useful and truthful.
Actionable explanation
A useful explanation also states relevant limits and what a person can do next.