Longform article reframing abstention (reject option / selective prediction) as product design, not model weakness. Covers coverage as a KPI, calibration as a prerequisite, threshold selection under review capacity and risk, queue/UX design for human-in-the-loop workflows, and anti-patterns that break safety in production.
nlp coverage machine-learning metrics reliability calibration thresholding uncertainty-estimation product-management model-evaluation ai-safety risk-management human-in-the-loop mlops responsible-ai abstention selective-classification workflow-design decision-systems review-queues
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Updated
Apr 29, 2026