An overview of the guidelines related to the use of artificial intelligence in the main journals in CAPES Interdisciplinary Area

Authors

DOI:

https://doi.org/10.5007/1518-2924.2025.e103488

Keywords:

Generative Artificial Intelligence, Scientific Writing, Publication

Abstract

Objective: To analyze how the leading journals, considering the CAPES Interdisciplinary Area, address the use of generative Artificial Intelligence (AI) tools in their article preparation and review guidelines.
Method: This is a descriptive and quantitative study that analyzes the web portals of the selected journals based on the number of published papers and the number of postgraduate programs involved between 2017 and 2022. The data used to select the journals were obtained from the open data of the Sucupira platform, and the results were generated from the information made available by the journals.
Result: The data reveals a significant correlation between the mention of the use of AI and the impact of journals. Only 20.5% of the analyzed journals mention generative AI in the guidelines for preparing papers, with only 7.5% doing so in the review process of submitted papers, and a mere 6% in both processes. This correlation was observed considering the Qualis, CiteScore, JIF, and H5 metrics, as well as the cost of publication.
Conclusions: The financial implications of AI usage in prestigious journals are significant. A direct relationship was observed between the mention of the use of AI and the impact and cost of journals. Journals with more rigorous guidelines on the use of AI tend to present higher values ​​in these metrics and higher costs, suggesting that the most prestigious journals adopt more restrictive stances regarding the use of these technologies.

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Author Biographies

Raphael de Aquino Gomes, Federal Institute of Goiás

PhD in Computer Science from the Federal University of Goiás with a sandwich period at the Institut National de Recherche en Informatique et en Automatique (INRIA), France. He holds a bachelor's degree (2006) and a master's degree (2009) in Computer Science from the Federal University of Goiás. He is currently a full professor at the Federal Institute of Education, Science and Technology of Goiás (IFG) and coordinates the Professional Master's course in Technology, Management and Sustainability at IFG. He has experience in Computer Science, with an emphasis on Distributed Systems, working mainly on the following topics: Cloud Computing, Internet of Things, Adaptive Systems, Artificial Intelligence and Renewable Energies.

Thiago Augusto Mendes, Federal Institute of Goiás

CNPq Junior Post-Doctorate in Geotechnics from UnB (2024) and UFG (2022), PhD in Geotechnics from UnB (2019), Master's in Environmental Engineering and Water Resources from UFG (2008) and Civil Engineer from UFG (2005). Professor at the Federal Institute of Education, Science and Technology of Goiás (IFG) and Technical Analyst - Civil Engineer for the State of Goiás (Goiás Housing Agency - AGEHAB) since 2010. He was a professor at the Pontifical Catholic University of Goiás (PUC Goiás) from 2009 to 2022 and is currently a professor and advisor in the Graduate Program in Technology, Management and Sustainability (PPGTGS) at IFG. He has experience in the areas of: water resources, drainage, basic and environmental sanitation, the environment, geotechnics and numerical modeling and analysis. He worked as a post-doctoral fellow at the Furnas-Eletrobrás PD, where he developed research related to the physical and numerical modeling of hydrological and erosive processes at the edges of reservoirs, the development of equipment for simulating rainfall and surface runoff, as well as the contribution and transfer of sediments in UHE reservoir basins (ANEEL - UFG agreement).

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Published

2025-03-17

How to Cite

GOMES, Raphael de Aquino; MENDES, Thiago Augusto. An overview of the guidelines related to the use of artificial intelligence in the main journals in CAPES Interdisciplinary Area. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], v. 30, p. 1–20, 2025. DOI: 10.5007/1518-2924.2025.e103488. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/103488. Acesso em: 26 mar. 2025.

Issue

Vol. 30 (2025): For diverse, equitable, inclusive, and accessible science

Section

Dossier: News scenarios of the Digital Society and the challenges of Generative Artificial Intelligence

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Copyright (c) 2025 Raphael de Aquino Gomes, Thiago Augusto Mendes

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