The The disruptive influence of artificial intelligence in academia and research

Authors

DOI:

https://doi.org/10.22201/dgbsdi.0187750xp.2024.2.1555

Keywords:

Artificial intelligence, scientific research and publication, editorial policies, citation and references, academic plagiarism, thics and integrity

Abstract

In this essay, the author explores the disruptive influence of artificial intelligence (AI) in academia and scientific research, highlighting the opportunities and risks associated with its use. Despite the advances represented by AI, several ethical and practical issues require attention. Drawing from the author’s experiences in following, analyzing, presenting publications, and offering conferences on the topic, the essay begins by summarizing the views that have emerged from AI’s recent popularization.
Subsequently, the author discusses specific problems arising from ai’s use, including the question of whether ai can be considered an author, the footprints left by ai, its use by editors or reviewers, complications with citations and references, its relationship with plagiarism, and suggestions for detecting AI-generated text. The discussion also covers editorial policies on AI use, its limitations, potential acceptable applications, and recommendations for advanced users.

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Author Biography

Juan D. Machin-Mastromatteo, Facultad de Filosofía y Letras, Universidad Autónoma de Chihuahua

Dr. Juan D. Machin Mastromatteo is a professor at the Universidad Autónoma de Chihuahua (UACH) and a member of the National System of Researchers (Level 2). Doctor in Information and Communication Sciences (Tallinn University), Master in Digital Libraries and Learning (Oslo University College; Tallinn University; and Parma University) and Bachelor in Library Science (Universidad Central de Venezuela). Specialist in information literacy, action research, bibliometrics, open access and digital libraries. He has more than 150 scientific publications. He has facilitated more than 40 courses and has participated in more than 120 international events as speaker, panelist, organizer or moderator. He is the Associate Editor of the journals Information Development (SAGE) and Revista Estudios de la Información (UACH). Member of the editorial boards of The Journal of Academic Librarianship (Elsevier) and IE Revista de Investigación Educativa (Red de Investigadores Educativos de Chihuahua). In Information Development he published, from 2015 to 2020, the column Developing Latin America. In 2019 he created the Juantífico Project: videos on scientific research, information and publication. From 2022 he is co-host of InfoTecarios podcast. Since 2023 he publishes the section School of Editors in the journal Estudios de la Información.

References

Cabanac, G. [@gcabanac]. (17 de marzo de 2023). #ChatGPT “regenerate response” fingerprint in reviewers’ reports: I found some in @MDPIOpenAccess journals, e.g., https://pubpeer.com/publications/E6F750F5DE06F5C90B0455E1AB4563 and https://pubpeer.com/publications/BA15B2C19EFBD3694FB87FBA095AAC. It seems that fancy adjectives are good predictors, too... Is peer review doomed? https://x.com/mishateplitskiy/status/1769433162122232127 [Tweet]. X. https://twitter.com/gcabanac/status/1769462023710994544

Committee on Publication Ethics. (2023). Artificial intelligence (AI) and fake papers. https://publicationethics.org/resources/forum-discussions/artificial-intelligence-fake-paper

Frontiers Editorial Office. (2024). Retraction: Cellular functions of spermatogonial stem cells in relation to JAK/STAT signaling pathway. Frontiers in Cell and Developmental Biology, 12, 1386861. https://doi.org/10.3389/fcell.2024.1386861 DOI: https://doi.org/10.3389/fcell.2024.1386861

International Committee of Medical Journal Editors. (2023). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. https://www.icmje.org/icmje-recommendations.pdf

Kung, T. H., Cheatham, M., ChatGPT, Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., y Tseng, V. (2022). Performance of ChatGPT on USMLE: Potential for AI–assisted medical education using large language models. MedArxiv. https://doi.org/10.1101/2022.12.19.22283643 DOI: https://doi.org/10.1101/2022.12.19.22283643

Machin–Mastromatteo, J. D. (2023). Implicaciones y políticas editoriales de la inteligencia artificial. Revista Estudios de la Información, 1(2), 123–133. https://doi.org/10.54167/rei.v1i2.1448 DOI: https://doi.org/10.54167/rei.v1i2.1448

Orduña Malea, E. [@eomalea]. (24 de abril de 2023). I’m afraid to say that several preprint servers are publishing online papers, which cite publications co-authored by me that do not exist. This is the @chatgptimpact. Google Scholar and ResearchGate are indexing those papers, and their fake citations, by the way. [Tweet]. X. https://twitter.com/eomalea/status/1650527418577309699

Retraction Watch. (2024). Papers and peer reviews with evidence of ChatGPT writing. https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing

Science of Science. [@MishaTeplitskiy]. (17 de marzo de 2023). Lots of people in CS are (almost surely) GPT-ing their peer reviews https://arxiv.org/abs/2403.07183 [Tweet]. X. https://twitter.com/MishaTeplitskiy/status/1769433162122232127

Tang, G., e Eaton, S. E. (2024). A rapid investigation of artificial intelligence generated content footprints in scholarly publications. Journal of Scholarly Publishing, 55(3), 337–355. https://doi.org/10.3138/jsp-2023-0079 DOI: https://doi.org/10.3138/jsp-2023-0079

portada de ensayo

Published

2025-03-07

How to Cite

Machin-Mastromatteo, J. D. (2025) “The The disruptive influence of artificial intelligence in academia and research”, Biblioteca Universitaria, 27(2), pp. 121–130. doi: 10.22201/dgbsdi.0187750xp.2024.2.1555.

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Section

Essays