From Average Accuracy to Subgroup Review
Explain why bias review must go beyond average accuracy into label provenance, subgroup performance, and launch controls.
Same model review, after compliance adds a fairness gate. What changed? Before: one average metric After: subgroup-aware launch review The metric changed from average accuracy only to subgroup error rates, because bias can be hidden inside a strong top-line result. The review added label provenance, because a model trained on past approvals can reproduce historical access and underwriting patterns. The launch plan added appeal and monitoring controls, because risk management continues after inference starts serving real decisions. Fairness review asks who is harmed when the average looks good. Model bias review You upgraded accuracy talk into a risk-aware review. When…
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