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AIF-C01 Practice Question 79: Ineffective User Controls

AWS Certified AI Practitioner (AIF-C01) · Test 8 · question 9 of 10

Guidelines for Responsible AIeasy

An AI assistant drafts marketing copy. Reviewers can see every suggestion, but they cannot turn off a suggestion type for good, their instruction to use a less formal tone produces no visible change, and once the assistant rewrites a section there is no way back to the previous draft. Which responsible AI dimension should the team strengthen, and what would that look like in the product?

Select one answer
Show answer and explanation

Answer:

  • C. Controllability: give reviewers controls that genuinely override, adjust and roll back its behaviour

Controllability is about having mechanisms to steer and monitor an AI system's behaviour. The AWS Responsible AI Lens frames the test as verifying *that users can effectively control your AI system when they need to override, adjust, or roll back its behavior*, measuring *whether adjustments produce the expected changes in system behavior*, and catching *when controls fail to work as intended*. Every complaint in the stem is one of those three verbs failing: override, adjust, roll back (option C).

- A is wrong because explainability answers *why* the system produced an output. The reviewers are not confused about the suggestions; they are unable to change them. Better explanations would leave them equally stuck. - B is wrong because veracity and robustness concern whether outputs are accurate and whether they hold up under unusual or adversarial input. Nobody reported that the copy is wrong. - D is wrong because nothing in the report involves data exposure or unauthorised access. The drafts are reaching the right people; they just cannot steer what those drafts contain.

Reference: RAIRC03-BP07 Measure user controllability of system behavior

Practice Test 8 ›

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