AI evidence extraction

Upholding Scientific Rigor in the Age of Generative AI : What FASEB 's New Policy Means for The FASEB Journal and FASEB BioAdvances

Loren E Wold, Elizabeth A. Jonas, Thomas H. Sanderson · The FASEB Journal · 2026

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10

Relevance

1/4

Quality (LMQS)

Evidence

Citations

0.00

FWCI

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.1096/fj.202601889

Methodology & findings

Study design

Policy development and analysis based on survey data from external sources (Wiley 2025 survey of researchers; Nature survey of 5000 researchers) and institutional guidance development.

Main result

The paper establishes that "73% of researchers believe the most important role for scholarly publishers to play is to provide clear guidelines on what uses of AI are acceptable in the context of publishing scholarly research" and reports that "70% of surveyed researchers stating this is appropriate" for Gen AI use in manuscript editing, while only "47% stating it is appropriate to make summaries of other papers to use in your own paper and only 36% stating it is appropriate to use Gen AI to translate your paper into a different language." The FASEB policy affirms that "authors retain full responsibility for the accuracy, originality, and integrity of their work, regardless of whether Gen AI tools are used."

Research paradigm

Interpretive/argumentative - policy analysis and normative guidance

Author conclusions

FASEB concludes that "FASEB's Gen AI policy is an affirmation of scientific values: transparency, accountability, rigor, and trust. It acknowledges the transformative potential of generative AI while insisting that human expertise remains at the center of scientific authorship and review." The authors hope this approach "offers a model for how scientific societies can navigate the AI revolution with clarity and conviction and uphold our values."

Open questions raised

The paper indicates this is an evolving space requiring ongoing monitoring: "FASEB will monitor this dynamic space and react accordingly, focusing on whether the results and conclusions are compromised by non-disclosure."
The paper does not explicitly identify research gaps. However, it notes the evolving nature of AI integration and states "We will monitor this dynamic space and react accordingly," suggesting ongoing uncertainty about appropriate boundaries for Gen AI use in science.
The document identifies that FASEB "will monitor this dynamic space and react accordingly" as Gen AI capabilities evolve. It notes that the policy addresses areas where Gen AI capabilities are currently limited (verification of claims, citation validation, interpretation of experimental results), suggesting these remain open challenges for the field.

Data: not_statedCode: not_statedExtracted from: pdfAgreement 70%

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