AI proposes priority for loan applications.
Users need to understand automation and human review.
Choose two designs.
Explain purpose, affected decisions, data, limitations, human review, correction, appeal, and support before use.
Detailed explanation
Users understand the nature and risk of the decision.
Users understand the nature and risk of the decision.
A remedy is available for automated output.
A remedy is available for automated output.
Misleading and accountability risks increase.
Misleading and accountability risks increase.
Oversight becomes nominal.
Oversight becomes nominal.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 4.2の高影響判断、透明性、人間の監督を確認する。Expected result
高影響なAI利用で必要な説明と救済の導線を設計できる。Key points
- High impact
- Disclosure
- Remedy
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.