What supports human-centered, explainable AI?
Why B is the answer
User feedback and transparency about AI decisions
Feedback mechanisms and transparency about decisions keep people informed and able to respond.
In detail
- Feedback and transparency keep people informed and involved.
- Feedback only helps if someone acts on it.
Use case
An illustrative scenario, not a real incident.
A support tool says when AI wrote a reply, and it lets users flag mistakes.
See it in different ways
mindmap
root((Responsible AI))
Bias
SageMaker Clarify
Documentation
SageMaker Model Cards
Safety
Bedrock Guardrails
Transparency
User feedbackstateDiagram-v2 state "AI output" as s0 state "User feedback" as s1 state "Improvement" as s2 [*] --> s0 s0 --> s1 s1 --> s2 s2 --> s0
Key point: Feedback and transparency support human-centered AI.
Why the other options are wrong
- A. Keeping the training data secret from auditors
- Auditors need access.
- C. Hiding from users that AI was involved, so that they judge the results fairly
- Hiding AI use removes transparency.
- D. Removing all human review from the process
- Removing review removes people.

