Walk me through how you run a bias and fairness audit on a deployed model.

A fairness audit is a defined process: pick protected attributes, choose metrics that fit the harm, measure disaggregated performance, and document findings. The signal is knowing the metrics conflict and which one the use case demands. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.