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

A fairness audit is a structured 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 requires. Here is the answer.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.