Radiologists agree with your model 98% of the time, even when it is wrong. How do you stop automation bias?
Human-in-the-loop is the mitigation everyone writes into the risk register and almost nobody measures. When the reviewer anchors on a confident model output, your oversight control fails exactly on the cases it existed to catch.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Human-in-the-loop is the mitigation everyone writes into the risk register and almost nobody measures. When the reviewer anchors on a confident model output, your oversight control fails exactly on the cases it existed to catch.
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.
