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Google DeepMind SAFE (Search-Augmented Factuality Evaluator)

Category
Verification
Type
research code
Source
Project page
Last reviewed
2026-10-16 (what this means)

Citation check incomplete — recheck later.

Summary

SAFE (Search-Augmented Factuality Evaluator) is open research code from Google DeepMind, described in a NeurIPS 2024 paper, that uses a language model and Google Search results to rate individual facts in long-form text. The authors report 72% agreement with crowdsourced annotators. Four independent peer-reviewed studies report agreement with human annotators of about 84% on biography facts and strong correlation on factual labels, alongside weaker results for its claim extraction (including many incomplete extracted facts); these studies were conducted by researchers proposing alternative methods. Commentators have questioned the authors' comparison with crowdworkers rather than expert fact-checkers. Overall score 66. Informational only; not a guarantee, endorsement, or certification.

Overall score: 66 · Evidence grade: B- · Independent sources: 4 performance, 2 other

Factor breakdown

Factor breakdown
FactorWeightScoreNote
Completion rate30%65Independent agreement and correlation are good on factual labels (84.48% on 786 biography facts, Zhao et al.; response-level Pearson 0.95, FactBench), weaker on other labels (0.60) and for claim extraction (VeriScore). VeriFact (EMNLP 2025) found 56.7% of SAFE-extracted facts incomplete on a deliberately difficult annotated set. Judgment call.
Disputes20%80No legal or regulatory disputes found. Public critique of the "superhuman" framing (comparison with crowdworkers, not expert fact-checkers). Judgment call.
Adherence to limits25%60Clear licences and stated limitations; maintained research code. Independently measured cost ($0.49 per response) is higher than the authors' $0.19, though setups differ. Judgment call.
Evidence quality25%60Four peer-reviewed independent sources, but small samples, mainly biographies and chat prompts, and each study promotes its own alternative method. Judgment call.

Overall = 0.30×65 + 0.20×80 + 0.25×60 + 0.25×60 = 65.5, shown as 66 (exact .5 rounds up). See the methodology.

Uncertainties

Sources

Decision records: 0009; 0058 (follow-up review).