Trace Bias Back to Data and Labels

A proactive-outreach model is missing users on legacy pricing plans even though complaints suggest they often need help. Fairness review begins upstream: representation, labels, subgroup performance, and harm must all be inspected before deciding what to fix. The common shortcut is to tweak thresholds or retrain immediately because that feels like direct action. But if the sample underrepresents a group or the label reflects a narrower historical process, threshold tuning only repackages the same underlying distortion. You need to know whether the model is underperforming because the system learned the wrong history, not just because one threshold is off. 1.…

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