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AI-300 Practice Question 73: Fairness Assessment

Microsoft Machine Learning Operations Engineer Associate (AI-300) · Test 8 · question 3 of 10

Implement machine learning model lifecycle and operationsmedium

A loan approval model is accurate overall, but the team sees that approval rates differ noticeably between groups defined by a sensitive attribute. In the Responsible AI dashboard, which component should they use to quantify the disparity in model performance and selection rate between those groups?

Select one answer
Show answer and explanation

Answer:

  • B. The model overview and fairness assessment component

The Responsible AI dashboard includes a model performance and fairness assessment component, built on Fairlearn. It compares metrics such as selection rate and accuracy across groups defined by sensitive features, and shows the size of the disparity (option B).

- A is wrong because error analysis finds cohorts where the model errs most. It does not compare selection rates across sensitive groups. - C is wrong because counterfactuals explain individual predictions. They do not measure group disparity. - D is wrong because causal analysis estimates the real-world effect of interventions, which is a different question from group fairness.

Reference: Responsible AI dashboard

Practice Test 8 ›

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