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.
Users need to know what the explanation does and does not establish.
Association does not prove that changing the feature would change the outcome.
Association does not prove that changing the feature would change the outcome.
Interpretation depends on method and audience.
Interpretation depends on method and audience.
There is no correction path for automated decisions.
There is no correction path for automated decisions.
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、人的監督を確認する。Expected result
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
- 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.