Separate Prediction From Decision
Distinguish model prediction, decision policy, and control design in an AI-enabled data science workflow.
The model predicts. The organization decides. Good AI data science keeps those jobs separate. NIST AI RMF language helps because it asks teams to map, measure, and manage AI risks in context. That context includes the human process around the model. A score, label, or recommendation becomes risky when people treat it as an automatic action without naming the policy in between. Prediction What does the model estimate? This is where performance, calibration, uncertainty, and sample limits belong. Decision policy What action follows at each score band? This is where thresholds, capacity, costs, and business rules belong. Controls What prevents…
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