Artificial intelligence in education, ethics in its use.
DOI:
https://doi.org/10.62697/rmiie.v4iS1.156Keywords:
Education, ethics, dimensions, preparation, artificial intelligenceAbstract
Artificial intelligence has now entered into all processes and the training of students at different educational levels is no exception. An assessment is made of the ethical dimensions of artificial intelligence in the educational field, with the purpose of analyzing its benefits and possible improvements. The aim is to promote, from education, and in particular from teaching, the creation of spaces for ethical training in the use of artificial intelligence, emphasizing the importance of the rational use of natural, economic, cultural and technological resources. This perspective aims to prepare new generations to face the challenges of the future in the short, medium and long term. From a methodology based on documentary research and using the analytical method to examine various bibliographic sources, it was possible to adapt the Deloitte proposal (2024), structuring the dimensions towards the educational order. The study highlights the need to reflect on the role of ethics in the integration of artificial intelligence in education. The importance of considering technology, data and security in its implementation, managing risks to strengthen educational actors and developing skills within innovative organizational models and methodologies is highlighted. The relevance of supporting these processes through public policies, legal frameworks and social impact is highlighted, promoting transparency and responsibility in the ethical use of artificial intelligence in the educational field and ensuring its benefit for all.
Downloads
References
Abreu Suarez, A. J. (2017). La Ética en la Investigación Educativa. Revista Scientific, 2(4), 338–350. https://doi.org/10.29394/scientific.issn.2542-2987.2017.2.4.19.338-350
Almaguer, R., Mena, O., & Abreus, J. L. (2022). Entornos virtuales y evaluación del aprendizaje en tiempos de confinamiento. Una experiencia en la cultura física. Revista Universidad y Sociedad, 14(3), 178-187. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2218-36202022000300178
Andrade Santamaría, D., Soxo Andachi, J. W., & Silva Montoya, Ó. F. (2020). Method for Evaluating the Principle of Interculturality in the Custodial Sentence using the Iadov Technique. Neutrosophic Sets and Systems, 37, 125-131. https://doi.org/10.5281/zenodo.4122047
Barraza, C. (2018). Manual para la Presentación de Referencias Bibliográficas de Documentos Impresos y Electrónicos. http://www.utemvirtual.cl/manual_referencias.pdf
Barrios, L., & Delgado, M. (2024). Percepción docente sobre la inteligencia artificial como herramienta educativa. Omnia, 29(1), 76-90. https://mail.produccioncientificaluz.org/index.php/omnia/article/view/41960
Caparrós Galán, G., & Sendra Portero, F. (2022). Medical students' perceptions of the impact of artificial intelligence in radiology. Radiologia, 64(6), 516–524. https://doi.org/10.1016/j.rxeng.2021.03.008
Deloitte Touche Tohmatsu Limited. (2024). 4 dimensiones de preocupación ética de la IA. https://empowertalent.com/digital-business/ia/4-dimensiones-etica-de-la-ia/
Díaz, J. (2021). Aprendizaje automático y aprendizaje profundo. Ingeniare. Revista chilena de ingeniería, 29(2), 180-181. https://www.scielo.cl/scielo.php?pid=S0718-33052021000200180&script=sci_arttext
Estupiñán, J., Leyva, M., Peñafiel, A., y El Assafiri, Y. (2021). Inteligencia Artificial y propiedad intelectual. Revista Universidad y Sociedad, 13(S3), 362-368. https://rus.ucf.edu.cu/index.php/rus/article/view/2490
Gorospe-Sarasúa, L., Muñoz-Olmedo, J. M., Sendra-Portero, F., & De Luis-García, R. (2022). Challenges of Radiology education in the era of artificial intelligence. Radiologia, 64(1), 54–59. https://doi.org/10.1016/j.rxeng.2020.10.012
Jay, W., Padilla, M. G., & Rodelo, M. K. (2024). Políticas públicas ante la Revolución de la inteligencia artificial en Colombia. Revista Venezolana De Gerencia, 29(106), 865-883. https://produccioncientificaluz.org/index.php/rvg/article/view/41756/48325
Martínez, M., Rigueira, X., Larrañaga, A., Martínez, J., Ocarranza, I., & Kreibel, D. (2023). Impacto de la inteligencia artificial en los métodos de evaluación en la educación primaria y secundaria: revisión sistemática de la literatura. Revista de Psicodidáctica, 28(2), 93-103. https://www.sciencedirect.com/science/article/pii/S1136103423000114
Maya, E. (2014). Métodos y técnicas de investigación. Una propuesta ágil para la presentación de trabajos científicos en las áreas de arquitectura, urbanismo y disciplinas afines. Universidad Nacional Autónoma de México.
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2024). Foro Global sobre la Ética de la IA. https://www.unesco.org/es/articles/foro-global-sobre-la-etica-de-la-inteligencia-artificial-2024
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2023): Ética de la inteligencia artificial. Oficina de la UNESCO en Montevideo. https://www.unesco.org/en/articles/chile-artificial-intelligence-readiness-assessment-report
Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., Lyons, T., Manyika, J., Mishra, S. & Niebles, J. C. (2019). Introducing the AI Index 2019 Report. https://wp.oecd.ai/app/uploads/2020/07/ai_index_2019_introduction.pdf
Vera, F. (2023). Integración de la Inteligencia Artificial en la Educación superior: Desafíos y oportunidades. Transformar, 4(1), 17-34. https://www.revistatransformar.cl/index.php/transformar/article/view/84
Zuluaga, L. (2020). Inteligencia artificial en América Latina: cultura de datos, infraestructura y habilidades digitales. Fundación Konrad Adenauer. https://dialogopolitico.org/wp-content/uploads/2023/04/Inteligencia-Artificial-en-Latinoamerica.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Josía Jeseff Isea-Aguelles, Teresa de Jesús Molina-Gutiérrez, Gustavo Adolfo Álvarez-Gómez, María Elena Infante-Miranda

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish in Revista Mexicana de Investigación e Intervención Educativa (RMIIE), of Universidad Pablo Latapí Sarre agree to the following terms:
1. Copyright
Authors retain unrestricted copyright to their work. Authors grant the journal the right of first publication. To this end, they assign the journal non-exclusive exploitation rights (reproduction, distribution, public communication, and transformation). Authors may enter into additional agreements for the non-exclusive distribution of the version of the work published in the journal, provided that acknowledgment of its initial publication in this journal is given.
© The authors.
2. License
The articles are published in the journal under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). The terms can be found at: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
This license allows:
- Sharing: Copying and redistributing the material in any medium or format.
- Adapting: Remixing, transforming, and building upon the material.
Under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if any changes were made. You may do this in any reasonable manner, but not in any way that suggests the licensor endorses or sponsors your use.
- NonCommercial: You may not use the material for commercial purposes.
- ShareAlike: If you remix, transform, or build upon the material, you must distribute your creation under the same license as the original work.
There are no additional restrictions. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.






