Work Type
Publication
Journal
Missouri Medicine
Volume
122
Issue
3
Inclusive Pages
162-168
Publication Date
2025
Language
English
Document Type
Article
Link to Published Version
https://digitaleditions.walsworth.com/publication/?i=847459&p=8
Recommended Citation
Jian, Xing and Yaeger, Lauren H., "Combating Fake Science in the Age of Generative Artificial Intelligence: A Biomedical Perspective." Missouri Medicine, 162-168,. 2025. Paper 68.
https://digitalcommons.wustl.edu/becker_pubs/68
COinS
Description
Fake science, a form of false information in science, slows scientific progress and undermines trust in science and the capacity of individuals and society to make evidence-informed choices, including life-or-death issues. Fake science produced from “paper mills” appeared in the biomedical literature around 2010 and poses issues with scientific integrity and credibility of research findings.
Researchers are increasingly concerned that fake science is further exploited by Generative Artificial Intelligence (Gen AI) to generate fake text and altered images. The purpose of this perspective article is to discuss features of fake science related to the biomedical community, the role of Gen AI, and share resources and tools to help combat dissemination of false information.