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 can interpret the score within its tested scope.
Users can interpret the score within its tested scope.
Clear oversight reduces overreliance and clarifies accountability.
Clear oversight reduces overreliance and clarifies accountability.
This encourages unsafe overconfidence.
This encourages unsafe overconfidence.
Users cannot ask for explanation or correction.
Users cannot ask for explanation or correction.
Try it yourself
An example you can run in a temporary verification environment.
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。Expected result
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
- 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.