Automated Research Paper Evaluation System
Automated assessment of methodological rigor, formal notation, validation methods, limitations, and falsifiability criteria.
Semantic similarity detection against active policy positions, identifying direct contradictions before endorsement.
Reading time estimation, expertise requirements, diagram analysis, and summary availability evaluation.
AI-powered identification of unaddressed assumptions, missing evidence, and required empirical validation.
Automated priority assignment for decision-maker attention, with recommended briefing timelines and action items.
AI safety policy forms in 2-10 days while peer review takes 100+ days. Critical research gets lost in the noise.
RED automatically triages research papers, detects policy contradictions, and flags critical gaps in minutes, not months.
Ensures decision-makers see research that contradicts policy before commitments lock in, enabling better policy formation.
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Developed by the team behind "The Attention-Implementation Gap in AI Safety" research with support from leading AI safety organizations.