Artificial intelligence in scientific research: an analysis from the ethics and responsibility perspective
DOI:
https://doi.org/10.64092/6qseba44Keywords:
Artificial Intelligence, ethics, scientific research, human supervision, academic integrityAbstract
This article analyzes the role of Artificial Intelligence (AI) in scientific research and higher education, highlighting both its opportunities and the ethical challenges it entails. Artificial Intelligence not only automates routine tasks but also facilitates content generation, complex data analysis, and the creation of adaptive learning environments, optimizing productivity and enhancing innovation. However, its use requires rigorous human oversight, as ethical, legal, and academic responsibility rests exclusively with the authors. Responsible use of these technologies involves protecting confidentiality and intellectual property rights and avoiding algorithmic biases that could affect fairness and scientific integrity. In education, teachers must guide students in the critical use of Artificial Intelligence, fostering digital skills, critical thinking, ethical judgment, and academic responsibility, ensuring that the technology complements, not replaces, creativity, pedagogical reflection, and human interaction. The ethical implementation of Artificial Intelligence requires responsible ecosystems that integrate technological innovation, sustainability, and academic humanism, ensuring that knowledge production is trustworthy, inclusive, and socially responsible, and that it contributes to the comprehensive development of students and the integrity of scientific research.
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Alonso-Rodríguez, A. M. (2024). Hacia un marco ético de la inteligencia artificial en la educación. Teoría De La Educación. Revista Interuniversitaria, 36(2), 79–98. https://doi.org/10.14201/teri.31821
Bouhouita-Guermech, S., Gogognon, P., & Bélisle-Pipon, J.-C. (2023). Specific challenges posed by artificial intelligence in research ethics. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1149082
Branda, F., Ciccozzi, M., & Scarpa, F. (2025). Artificial intelligence in scientific research: Challenges, opportunities and the imperative of a human-centric synergy. Journal of Informetrics, 19(4), 101727. https://doi.org/10.1016/j.joi.2025.101727
Chávez-Cárdenas, M. del C., Fernández-Marín, M. Á., & Lamí-Rodríguez del Rey, L. E. (2025). Web educativa e inteligencia artificial: Transformando el aprendizaje contemporáneo. Sophia Editions.
Committee on Publication Ethics. (2023). Authorship and AI tools. https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools
Elsevier. (2025). Generative AI policies for journals. https://www.elsevier.com/about/policies-and-standards/generative-ai-policies-for-journals
European Union. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. https://data.europa.eu/doi/10.2766/153756
Flores Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflexiones sobre la ética, potencialidades y retos de la Inteligencia Artificial en el marco de la Educación de calidad (ODS4). Comunicar, 31(74), 37-47. https://doi.org/10.3916/C74-2023-03
Floridi, L. (2023). Ethics of artificial intelligence: Principles, challenges, and opportunities. Oxford University Press.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Giarmoleo, F. V., Ferrero, I., Rocchi, M., & Pellegrini, M. M. (2024). What ethics can say on artificial intelligence: Insights from a systematic literature review. Business and Society Review, 129(2), 258–292. https://doi.org/10.1111/basr.12336
Klockmann, V., von Schenk, A., & Villeval, M. C. (2022). Artificial intelligence, ethics, and intergenerational responsibility. Journal of Economic Behavior & Organization, 203, 284–317. https://doi.org/10.1016/j.jebo.2022.09.010
León González, J. L., & Pire Rojas, A. (2025). Investigación, neurociencia e inteligencia artificial: Hacia una formación universitaria integral. Sophia Editions
Limongi, R. (2024). The use of artificial intelligence in scientific research with integrity and ethics. Future Studies Research Journal: Trends and Strategies, 16(1), e845. https://doi.org/10.24023/FutureJournal/2175-5825/2024.v16i1.845
Radanliev, P. (2025). AI ethics: Integrating transparency, fairness, and privacy in AI development. Applied Artificial Intelligence, 39(1). https://doi.org/10.1080/08839514.2025.2463722
Resnik, D. B., & Hosseini, M. (2025). 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
Springer Nature. (2023). Artificial Intelligence (AI). https://www.springer.com/in/editorial-policies/artificial-intelligence--ai-/25428500?srsltid=AfmBOoorwcXvMqatuwUCIAmzicc2JcgeIYa348sYwCJ095BioUVFHDuT
Stahl, B. C. (2023). Embedding responsibility in intelligent systems: From AI ethics to responsible AI ecosystems. Scientific Reports, 13, 7586. https://doi.org/10.1038/s41598-023-34622-w
Taylor & Francis. (2025). IA Policy. https://taylorandfrancis.com/our-policies/ai-policy/
United Nations Educational, Scientific and Cultural Organization. (2024). Recommendation on the Ethics of Artificial Intelligence. https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence
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