Compare fairness metrics (demographic parity, equalized odds, calibration). Why can't you satisfy all of them at once?
Fairness has no single number, and a well-known result proves the main three cannot hold together. What interviewers reward is defining each metric precisely and explaining the impossibility rather than picking one blindly. 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.
Fairness has no single number, and a well-known result proves the main three cannot hold together. What interviewers reward is defining each metric precisely and explaining the impossibility rather than picking one blindly. Here is the answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
