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Our AI ranks job applicants. How would you test it for bias, and what would you do if you found it?

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Fairness questions punish vague answers. The interviewer wants specific metrics, an awareness that they conflict, the data you need, and what you would change in the product when the numbers look wrong.

Updated Oct 2026 · Original practice questions with worked answers and teaching rubrics. Our editorial policy explains the sources, review process and limits.

Fairness questions punish vague answers. The interviewer wants specific metrics, an awareness that they conflict, the data you need, and what you would change in the product when the numbers look wrong.

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