Separate AI evidence from human decision authority in a high-stakes hiring choice.
Final hiring debrief: the AI score is visible, but the human owner has not been named. The VP wants to accept the AI-ranked candidate immediately. What should Maya do first? Pause and name the decision owner, the AI's role, and the evidence still required before the hiring manager decides. Strong move. It calibrates trust by keeping the model as evidence and restores decision rights before the room treats the score as authority. Accept the AI score because a consistent model is less biased than a divided panel. Too much algorithm appreciation. Consistency is useful, but reliability depends on the task,…
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