Turn launch day into monitoring day
Explain why fairness monitoring must continue after an AI system launches.
What changed when support moved from launch reporting to fairness monitoring? Before: the overall metric is stable, but subgroup routing errors are invisible. After: subgroup metrics, thresholds, and ownership turn monitoring into action. Language-level error rates were added because an overall metric can hide service gaps for smaller groups. Queue-delay impact was added because fairness is about experienced outcomes, not only classifier accuracy. Thresholds and an owner were added so monitoring triggers a response instead of becoming passive reporting. A fairness dashboard without thresholds and owners is a report, not a control. Fairness monitoring Practiced turning subgroup monitoring into an…
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