ETHICAL PRINCIPLES IN THE RESEARCH PROCESS USING ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.56219/trascendere.v2i8.6334Keywords:
research ethics, artificial intelligence, academic transparenc, scientific responsibility, large language modelsAbstract
Technological advances and the growing adoption of artificial intelligence (AI) tools transformed the production, analysis, and dissemination of knowledge, while also creating risks related to scientific integrity, authorship, bias, and data protection. The objective of this article was to analyze the ethical principles that should guide researchers in the use of AI and Large Language Models (LLMs) throughout the research process. A systematized documentary review of 19 academic, institutional, and regulatory sources, mainly published between 2022 and 2026, was conducted. The sources were retrieved from Scopus, Web of Science, PubMed, Google Scholar, Dialnet, Redalyc, and SciELO. Relevant peer-reviewed documents and materials issued by recognized organizations were included, whereas non-scholarly publications without scientific support were excluded. The information was organized in a documentary analysis matrix and examined through thematic and comparative analysis. The findings identified transparency, responsibility, autonomy, fairness and justice, privacy, data protection, and regulatory compliance as the central principles. Human oversight, traceability, and disclosure of AI use were also found to be essential conditions for preserving the validity and reproducibility of research findings. It was concluded that AI is a supporting resource, while authorship, verification, and ethical responsibility remain with the researcher.
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Aparicio-Gómez, O.-Y. (2024). Consideraciones éticas para el uso académico de sistemas de inteligencia artificial. Revista Internacional de Filosofía Teórica y Práctica, 4(1), 175–198. https://doi.org/10.51660/RIFTP.V4I1.95
Breceda Pérez, J. A. (2025). Hacia la regulación ética del uso de inteligencia artificial en la investigación científica: lineamientos desde la Universidad Autónoma de Ciudad Juárez. Revista de Bioética y Derecho, (64), 81–97. https://doi.org/10.1344/rbd2025.64.48719
Committee on Publication Ethics [COPE]. (2023). Authorship and AI tools. https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools
Congreso de Colombia. (2012, 17 de octubre). Ley Estatutaria 1581 de 2012, por la cual se dictan disposiciones generales para la protección de datos personales. Diario Oficial No. 48.587. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=49981.
Guaña-Moya, J., & Chipuxi-Fajardo, L. (2023). Impacto de la inteligencia artificial en la ética y la privacidad de los datos. RECIAMUC, 7(1), 923-930. https://doi.org/10.26820/reciamuc/7.(1).enero.2023.923-930
Hosseini, M., Resnik, D. B., & Holmes, K. (2023). The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts. Research Ethics, 19(4), 449–465. https://doi.org/10.1177/17470161231180449
International Committee of Medical Journal Editors [ICMJE]. (2026). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. https://www.icmje.org/recommendations/
Martínez González, M. A. (2023). Uso responsable de la inteligencia artificial en estudiantes universitarios: Una mirada recnoética. Revista Boletín Redipe, 12(9), 172–178. https://doi.org/10.36260/rbr.v12i9.2008
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Melgarejo Riveros, V. M., & Rodas R., L. A. (2024). El papel de la Inteligencia artificial en los procesos de investigación científica y la necesidad de la regulación jurídica. Arandu Poty, 3(2), 18–23.
National Institute of Standards and Technology [NIST]. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST AI 100-1). U.S. Department of Commerce. https://doi.org/10.6028/NIST.AI.100-1
National Institute of Standards and Technology [NIST]. (2024). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1). U.S. Department of Commerce. https://doi.org/10.6028/NIST.AI.600-1
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO]. (2022). Recomendación sobre la ética de la inteligencia artificial. UNESCO.
Paguay-Simbaña, M. Y., Jimenez-Abad, D., Quiliguango-Lanchimba, V. F., Maynaguez-Canacuan, M. P., de los Ángeles Coello-García, C., & Coello-Ortiz, S. M. (2024). La ética en el uso de la inteligencia artificial en los procesos educativos. Revista científica retos de la ciencia, 1(4), 145-158.
Parlamento Europeo. (2024). Reglamento (UE) 2024/1689 del Parlamento Europeo y del Consejo, de 13 de junio de 2024, por el que se establecen normas armonizadas en materia de inteligencia artificial (Ley de Inteligencia Artificial — AI Act). Diario Oficial de la Unión Europea. https://artificialintelligenceact.eu/
Resnik, D. B., & Hosseini, M. (2024). The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool. AI and Ethics, 5(2), 1499–1521. https://doi.org/10.1007/s43681-024-00493-8
Suárez-Muñoz, F., & Tejeda, A. A. B. (2024). Autonomía de la inteligencia artificial. Una reflexión crítica desde la filosofía kantiana. SUMMA, 6(1), 1-11. https://doi.org/10.47666/summa.6.1.9
Watkins, R. (2024). Guidance for researchers and peer-reviewers on the ethical use of large language models (LLMs) in scientific research workflows. AI and Ethics, 4, 969–974. https://doi.org/10.1007/s43681-023-00294-5
World Association of Medical Editors [WAME]. (2023). Chatbots, generative AI, and scholarly manuscripts: WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications. https://wame.org/page3.php?id=106
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