A generative system explains a product-review decision.
Do not present a fluent explanation as proven causality.
Choose two appropriate responses.
Separate generated explanations from actual inputs, evidence, and rules, and evaluate explanation accuracy while disclosing uncertainty and limits.
Detailed explanation
A fluent explanation is not confused with verified causality.
A fluent explanation is not confused with verified causality.
Explanation quality and user expectations are managed.
Explanation quality and user expectations are managed.
A generated rationale may be post hoc.
A generated rationale may be post hoc.
Verification and remedy are still required.
Verification and remedy are still required.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 4.2の説明可能性、透明性、モデル出力の限界を確認する。Expected result
流暢な説明と検証可能な根拠を区別して利用者へ伝えられる。Key points
- Explainability
- Evidence
- Limits
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.