Evaluating the potential risks of employing large language models in peer review

Evaluating the potential risks of employing large language models in peer review

Abstract Objective This study aims to systematically investigate the potential harms of Large Language Models (LLMs) in the peer review process. Background LLMs are increasingly used in academic processes, including peer review. While they can address challenges like reviewer scarcity and review eff...

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Main Authors: Lingxuan Zhu, Yancheng Lai, Jiarui Xie, Weiming Mou, Lihaoyun Huang, Chang Qi, Tao Yang, Aimin Jiang, Wenyi Gan, Dongqiang Zeng, Bufu Tang, Mingjia Xiao, Guangdi Chu, Zaoqu Liu, Quan Cheng, Anqi Lin, Peng Luo
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Clinical and Translational Discovery
Subjects:
academic integrity
artificial intelligence
large language models
peer review
Online Access:https://doi.org/10.1002/ctd2.70067
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https://doi.org/10.1002/ctd2.70067

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