A bank deploys a model that declines some loan applications. The team wants applicants and reviewers to be able to understand which factors drove each decision and how the system reaches its conclusions. Which Microsoft responsible AI principle does this goal address?
- ATransparency Correct
- BFairness
- CAccountability
- DReliability and safety
Why A is correct: Transparency is the principle of making an AI system understandable, so that people can see how it works and which factors influenced a given decision.
Why B is wrong: Loan decisions are a classic setting for bias concerns, which makes fairness tempting, but fairness is about giving comparable groups comparable treatment, not about making the reasoning behind a decision understandable.
Why C is wrong: Being answerable for decisions sounds close, but accountability is about people and governance remaining responsible for the system, not about the system itself being intelligible to those affected.
Why D is wrong: Reliability and safety covers consistent, safe operation under varied conditions, so it is tempting for a high-stakes banking use, but it does not concern explaining how a decision was reached.