The AI safety interview question filtering out most PM candidates has nothing to do with frameworks. The scenario: your hiring model shows a 15% lower recommendation rate for candidates from certain demographic backgrounds. Engineering says it's a data problem. You have a board presentation in two weeks. What do you do? Most candidates reach for analysis first. Bias audits, model explainability reports, data lineage reviews. Thorough. Wrong order. The first move is operational. Pause…