Perspective | Open Access

100% AI-Reviewed Preprints are the Future of Open Research

    Haseeb Md. Irfanullah

    Center for Sustainable Development, University of Liberal Arts Bangladesh, Mohammadpur, Dhaka, Bangladesh

Preprints are very useful to communicate new research quickly by posting them on preprint servers. Not being peer reviewed remains the weakest point of this mode of research communication. Building on the recent developments, this article shows that the acceptance of preprints is growing, especially among the journal publishers, governments and research funders. Although there are several emerging models of preprint peer review, these suffers from challenges, such as an absence of proper validation. The conventional peer-reviewed journals also have structural limitations to take the open research forward. Their peer-review system and financial models, like Article Processing Charges (APCs), are exploitative, flawed and unjust. The use of AI in the journal peer-review system is advancing very fast. This article portrays a future scholarly world where 100% AI-reviewed preprints are the main channel of research communication. Drawing on examples from academia around the world, it further argues that to advance such a new model of open research, building a sense of community among all stakeholders is crucial.

How to Cite this paper?


APA-7 Style
Irfanullah, H.M. (2025). 100% AI-Reviewed Preprints are the Future of Open Research. Trends in Scholarly Publishing, 4(1), 102-108. https://doi.org/10.21124/tsp.2025.102.108

ACS Style
Irfanullah, H.M. 100% AI-Reviewed Preprints are the Future of Open Research. Trends Schol. Pub 2025, 4, 102-108. https://doi.org/10.21124/tsp.2025.102.108

AMA Style
Irfanullah HM. 100% AI-Reviewed Preprints are the Future of Open Research. Trends in Scholarly Publishing. 2025; 4(1): 102-108. https://doi.org/10.21124/tsp.2025.102.108

Chicago/Turabian Style
Irfanullah, Haseeb, Md.. 2025. "100% AI-Reviewed Preprints are the Future of Open Research" Trends in Scholarly Publishing 4, no. 1: 102-108. https://doi.org/10.21124/tsp.2025.102.108