Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Optimizing a model as part of a model-plus-decision-maker system can improve system accuracy or fairness relative to isolated rejection rules.

Impact: Watch system-aware deferral as an evaluation concept. Reject synthetic gains as authority to automate routing.

Boundary: The experiments largely simulate decision makers. Next: can prospective human evidence reproduce benefits under changing expertise and costs?

Flags: synthetic experts; fairness objective choices

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

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Recorded chart appearances

No appearance in the chart editions included in this snapshot. This is not evidence of absence from other editions.