Reflections on the Potential and Risks of AI for Scientific Article Writing after the AI Endorsement by Some Scientific Publishers: Focusing on Scopus AI

Authors

  • Jose de Leon Department of Psychiatry, University of Kentucky, Lexington, KY 40509, USA; Mental Health Research Center, Eastern State Hospital, Lexington, KY 40511, USA https://orcid.org/0000-0002-7756-2314
  • Santiago de Leon-Martinez Faculty of Information Technology, Brno University of Technology, 811 09 Brno, Czechia; Kempelen Institute of Intelligent Technologies, 612 00 Bratislava, Slovakia https://orcid.org/0000-0002-2109-9420
  • Antonio Artés-Rodríguez Department of Signal Theory and Communications, Universidad Carlos III de Madrid, 28911 Leganés, Spain; Grupo de Tratamiento de Señal, Gregorio Marañón Health Research Institute, 28007 Madrid, Spain https://orcid.org/0000-0001-6540-7109
  • Enrique Baca-García Department of Psychiatry, Hospital Fundación Jiménez Díaz, 28040 Madrid, Spain; Department of Psychiatry, Autonomous University of Madrid, 28029 Madrid, Spain https://orcid.org/0000-0002-6963-6555
  • Carlos De las Cuevas Department of Internal Medicine, Dermatology and Psychiatry and Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, 38071 San Cristobal de La Laguna, Spain https://orcid.org/0000-0001-5742-905X

DOI:

https://doi.org/10.62641/aep.v53i2.1849

Keywords:

artificial intelligence, publishing, scientific misconduct, science

Abstract

The introduction of ChatGPT3 in 2023 disrupted the field of artificial intelligence (AI). ChatGPT uses large language models (LLMs) but has no access to copyrighted material including scientific articles and books. This review is limited by the lack of access to: (1) prior peer-reviewed articles and (2) proprietary information owned by the companies. Despite these limitations, the article reviews the use of LLMs in the publishing of scientific articles. The first use was plagiarism software. The second use by the American Psychological Association and Elsevier helped their journal editors to screen articles before their review. These two publishers have in common a large number of copyrighted journals and textbooks but, more importantly, a database of article abstracts. Elsevier is the largest of the five large publishing houses and the only one with a database of article abstracts developed to compete with the bibliometric experts of the Web of Science. The third use and most relevant, Scopus AI, was announced on 16 January 2024, by Elsevier; a version of ChatGPT-3.5 was trained using Elsevier copyrighted material written since 2013. Elsevier's description suggests to the authors that Scopus AI can write review articles or the introductions of original research articles with no human intervention. The editors of non-Elsevier journals not willing to approve the use of Scopus AI for writing scientific articles have a problem on their hands; they will need to trust that the authors who have submitted articles have not lied and have not used Scopus AI at all.

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Published

2025-03-05

How to Cite

de Leon, Jose, et al. “Reflections on the Potential and Risks of AI for Scientific Article Writing After the AI Endorsement by Some Scientific Publishers: Focusing on Scopus AI”. Actas Españolas De Psiquiatría, vol. 53, no. 2, Mar. 2025, pp. 433-42, doi:10.62641/aep.v53i2.1849.

Issue

Section

Review