AIF-C01 Practice Question 38: Responsible AI Dimensions

AWS Certified AI Practitioner (AIF-C01) · Test 4 · question 8 of 10

Guidelines for Responsible AImedium

A bank is reviewing an AI system that approves or declines small business loans. Regulators require two things: applicants must be able to understand why their application was declined, and the system's outcomes must not unfairly differ across groups of applicants. Which core dimensions of responsible AI, as defined by AWS, do these requirements address? (Choose TWO.)

Select 2 answers.

Show answer and explanation

Answers:

B. Explainability
E. Fairness

AWS defines eight core dimensions of responsible AI. Explainability means *understanding and evaluating system outputs*, which is what lets a declined applicant understand the reason for the decision (option B). Fairness means *considering impacts on different groups of stakeholders*, which covers the requirement that outcomes not unfairly differ across applicant groups (option E).

- A is wrong because controllability is *having mechanisms to monitor and steer AI system behavior*. It matters for operating the system, but it isn't what either regulatory requirement describes. - C is wrong because veracity and robustness is *achieving correct system outputs, even with unexpected or adversarial inputs*. That is about correctness and resilience, not explanations or group impacts. - D is wrong because privacy and security is *appropriately obtaining, using and protecting data and models*. Applicant data must be protected, but neither requirement here is about data protection.

Reference: Responsible AI

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