AI-assisted peer review can augment (not replace) human reviewers by catching errors early and reducing their workload, but requires careful design to preserve human oversight and decision-making authority.
Google researchers introduce Paper Assistant Tool (PAT), an AI system that automatically reviews scientific papers by checking mathematical proofs, validating experiments, and identifying flaws. PAT uses inference scaling to catch errors before human peer review, addressing the bottleneck created by AI-accelerated research outpacing traditional review capacity.