A customer chat service generates responses.
Users must understand limits and correct mistakes.
Choose two appropriate designs.
Disclose AI use, purpose, limitations, data handling, verification, and support, and provide correction, appeal, and human handoff paths.
Detailed explanation
Users are less likely to treat output as a human decision.
Users are less likely to treat output as a human decision.
Affected users have a remedy for errors.
Affected users have a remedy for errors.
The disclosure is misleading.
The disclosure is misleading.
Users still cannot check or correct the output.
Users still cannot check or correct the output.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 4.2の透明性、説明可能性、責任あるAIを確認する。Expected result
AI利用の開示と、誤りに対する訂正・異議申立ての導線を説明できる。Key points
- Disclosure
- Limitations
- 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.