AI-generated commentaries and letters to the editor of peer-reviewed publications: editors and authors beware!
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| Title: | AI-generated commentaries and letters to the editor of peer-reviewed publications: editors and authors beware! |
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| Authors: | Foo, Cheryl Y. S. (AUTHOR), Potter, Kevin (AUTHOR), Wright, Abigail C. (AUTHOR), Evins, A. Eden (AUTHOR), Donovan, Abigail L. (AUTHOR), Levy, Sharon (AUTHOR), Cather, Corinne (AUTHOR), Mueser, Kim T. (AUTHOR) |
| Source: | Journal of Mental Health. Feb2026, Vol. 35 Issue 1, p1-3. 3p. |
| Subjects: | Generative artificial intelligence, Serial publications, Mental health, Professional peer review, Authorship, Misinformation, Conflict of interests, Publishing, Fraud, Fraud in science, Written communication |
| Abstract: | The article discusses the increasing prevalence of AI-generated commentaries in peer-reviewed journals, highlighting concerns about their impact on scholarly discourse. It notes that two authors have published over 780 commentaries, many focusing on artificial intelligence, despite lacking original empirical research experience. The authors argue that the rise of these commentaries reflects institutional pressures prioritizing publication quantity over quality and call for editorial vigilance to address the potential misuse of AI in academic publishing. They propose strategies to mitigate this issue, including raising awareness of AI misuse, documenting the publication history of commentary writers, and implementing AI detection tools in editorial workflows. [Extracted from the article] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | The article discusses the increasing prevalence of AI-generated commentaries in peer-reviewed journals, highlighting concerns about their impact on scholarly discourse. It notes that two authors have published over 780 commentaries, many focusing on artificial intelligence, despite lacking original empirical research experience. The authors argue that the rise of these commentaries reflects institutional pressures prioritizing publication quantity over quality and call for editorial vigilance to address the potential misuse of AI in academic publishing. They propose strategies to mitigate this issue, including raising awareness of AI misuse, documenting the publication history of commentary writers, and implementing AI detection tools in editorial workflows. [Extracted from the article] |
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| ISSN: | 09638237 |
| DOI: | 10.1080/09638237.2025.2607990 |
