Research Article | Open Access

Editorial Gatekeeping in the Age of Generative AI

    Laura Dormer

    Becaris Publishing Ltd, United Kingdom

    Alaina Webster

    American Society for Clinical Pharmacology and Therapeutics, United States of America

    Jonathan Schultz

    American Heart Association, United States of America


Received
24 Nov, 2025
Accepted
12 Jan, 2026
Published
31 Jan, 2026

Generative artificial intelligence (AI) is transforming scholarly publishing and redefining the role of editorial gatekeeping. As AI systems become increasingly embedded in manuscript preparation, peer review, and editorial workflows, traditional policies focused on authorship disclosure are proving insufficient. The challenge now lies in governing how AI is used, ensuring transparency, accountability, and human oversight in processes that directly shape research credibility. This Perspective argues that sustainable editorial practice in the age of AI requires hybrid models where automation supports, rather than supplants, human judgment. By strengthening governance frameworks, promoting AI literacy, and reaffirming integrity as the guiding principle of peer review, the scholarly community can harness innovation without compromising trust at the core of science.

How to Cite this paper?


APA-7 Style
Dormer, L., Webster, A., Schultz, J. (2026). Editorial Gatekeeping in the Age of Generative AI. Trends in Scholarly Publishing, 5(1), 23-27. https://doi.org/10.21124/tsp.2026.23.27

ACS Style
Dormer, L.; Webster, A.; Schultz, J. Editorial Gatekeeping in the Age of Generative AI. Trends Schol. Pub 2026, 5, 23-27. https://doi.org/10.21124/tsp.2026.23.27

AMA Style
Dormer L, Webster A, Schultz J. Editorial Gatekeeping in the Age of Generative AI. Trends in Scholarly Publishing. 2026; 5(1): 23-27. https://doi.org/10.21124/tsp.2026.23.27

Chicago/Turabian Style
Dormer, Laura, Alaina Webster, and Jonathan Schultz. 2026. "Editorial Gatekeeping in the Age of Generative AI" Trends in Scholarly Publishing 5, no. 1: 23-27. https://doi.org/10.21124/tsp.2026.23.27