Production receives an unseen input type.
Do not auto-confirm uncertain predictions.
Choose two controls.
Monitor distribution, distance, confidence, and missingness and route low-confidence or out-of-distribution inputs to rejection, alternatives, or human review.
Detailed explanation
Uncertain cases become visible.
Uncertain cases become visible.
Unsafe automation is reduced.
Unsafe automation is reduced.
Calibration may fail out of distribution.
Calibration may fail out of distribution.
Errors or attacks can be learned.
Errors or attacks can be learned.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 1.2・3.3の不確実性、分布外検知、人的監督を確認する。Expected result
モデルが学習していない入力を検出し、自動確定から安全に切り替えられる。Key points
- Out of distribution
- Uncertainty
- Reject
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.