Explain an automated review to a customer.
Do not imply that an explanation is a causal guarantee.
Choose two appropriate statements.
Explainations support understanding but may show associations rather than causes; disclose limits and provide human review or appeal.
Detailed explanation
Users need to know what the explanation does and does not establish.
Interpretation depends on method and audience.
Association does not prove that changing the feature would change the outcome.
There is no correction path for automated decisions.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 4.2の説明可能性、透明性、人的監督を確認する。
Official references
What to confirm
説明の有用性と、因果・保証ではない限界を説明できる。
Key points
- Limits
- Association
- 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
Explainability
The extent to which people can understand relevant inputs, behavior, output, and limitations.
Correlation
A statistical association between variables that does not by itself establish causation.