Add explainability into production monitoring so degradation and bias are interpretable, not just flagged.
## CONTEXT A team gets drift alerts but cannot explain why predictions changed or whether the model is becoming unfair. They want explainability integrated into monitoring: feature attributions tracked over time, so alerts come with interpretable root causes. ## ROLE Act as a responsible-ML engineer who integrates…
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