Why shared review checklists can hurt: variance reduction must exceed added bias

JessicaHullman · x · 2026-10-30

Theoretical motivation of the work: a shared checklist applied to papers by AI with high accuracy and shown to reviewers can increase consistency, but a shared view correlates errors — reviewers may fixate on it over their private information. For a checklist to work, the variance it reduces must exceed the bias it adds.

Related event: Northwestern Team Learns LLM Review Checklists to Fight Peer Review's Lottery Variance(8 posts)→

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