Ética e inteligencia artificial en educación: Diagnóstico de desafíos y vacíos en políticas educativas

María Daniela Rosas García; Noe  Zermeño Mejía; Luis Enrique  García Álvarez; Karla Aida Zermeño Mejía; Claudia Liliana Vázquez Juárez

doi:10.32870/punto.v12i23.318

Authors

María Daniela Rosas García Universidad de Guadalajara https://orcid.org/0000-0003-2518-999X
Noe Zermeño Mejía Universidad de Guadalajara https://orcid.org/0000-0002-7118-6151
Luis Enrique García Álvarez Universidad de Guadalajara https://orcid.org/0000-0002-6194-3577
Karla Aida Zermeño Mejía Universidad de Guadalajara https://orcid.org/0009-0008-5044-4888
Claudia Liliana Vázquez Juárez Universidad de Guadalajara https://orcid.org/0000-0002-0932-0110

DOI:

https://doi.org/10.32870/punto.v12i23.318

Keywords:

artificial intelligence, ethics, educational governance, regulation, educational policy

Abstract

Through a documentary, analytical, and interpretive approach, this article diagnoses the normative responses accompanying the expansion of artificial intelligence (AI) in education. The findings show that, despite growing recognition of its ethical implications, regulatory institutionalization specifically oriented toward the educational field remains weak. The study offers a critical reading of AI governance in education and underscores the need for more consistent, transparent, and communicable public policy frameworks.

Author Biographies

María Daniela Rosas García, Universidad de Guadalajara

PhD María Daniela Rosas García. Bachelor’s degree in Psychology and Doctorate in Public Health Sciences from the University of Guadalajara. Full-time Associate Professor (Level B) at the University of Guadalajara, Tlaquepaque Campus, in the Division of Engineering and Technological Innovation. Expertise in the area of scientific research methodology, as well as the aging process and old age, educational processes, and the use of technologies.

Noe Zermeño Mejía, Universidad de Guadalajara

PhD. Noé Zermeño Mejía. Bachelor of Computer Engineering from the University of Guadalajara; Master of Software Engineering from the University of the Valley of Atemajac; and PhD in Information and Communication Technologies from the University of Granada.
Full-time Associate Professor C at the University of Guadalajara, at the Tonalá University Center, in the Division of Engineering and Technological Innovation, teaching courses such as: Networks I and II, Logical and Functional Programming, and Graphics, Usability, and User Interfaces. He is a member of the Andalusian Interuniversity Institute for Data Science and Computational Intelligence (DaSCI).

Luis Enrique García Álvarez, Universidad de Guadalajara

PhD. Luis Enrique García Álvarez. Tenured Academic Technician A at the Centro Universitario del Norte (University of Guadalajara). He holds a Doctorate in Education (UNINI) and a Master’s degree in Public Service Management in Virtual Environments (UdeG). His professional profile combines technical work and teaching, as he teaches undergraduate courses (Computer and Wireless Networks) and graduate courses in the Master’s in Learning Technologies, specifically the Professional Practice course. A champion of educational innovation, he holds two international certifications in Fundamentals of Generative AI (Microsoft) and as a Level 1 Certified Educator (Google).

Karla Aida Zermeño Mejía, Universidad de Guadalajara

PhD. Karla Aida Zermeño Mejía, Associate Full-Time Professor and Researcher.

Education: Bachelor’s degree in Industrial Engineering from the University of Guadalajara; Master’s degree in Industrial Engineering from the University of the Valley of Atemajac; Doctorate in Economics and Business from the University of Granada. Affiliated with the Department of Basic and Applied Sciences at CU Tonalá; certified in: Supervision of Photovoltaic Systems in Residential, Commercial, and Industrial Settings; Collaborator with the STEM Program for Promoting Science Among Children.

Claudia Liliana Vázquez Juárez, Universidad de Guadalajara

PhD Claudia Liliana Vázquez Juárez. Full-time research professor at the University of Guadalajara’s Tonalá Campus, in the Department of Alternative Justice, Forensic Sciences, and Law-Related Disciplines.
Bachelor’s degree in Education with a specialization in Ethics and Citizenship from the Jalisco Normal School; Master’s degree in Education with a focus on Research from Santander University; Doctorate in Psychology from the University of Guadalajara.
Expertise in various fields with a focus on human rights, including: human rights, violence, development of social-emotional competencies, health, and gender, among others.

References

Alfiras, M. I. I.; Emran, A. Q. y Mohamed, A. M. (2025). Ethics and governance of generative aI in education: a systematic review on responsible adoption. Discover Education, 5 (1). https://doi.org/10.1007/s44217-025-01051-y

Cardona, M. A.; Rodríguez, R. J. y Ishmael, K. (2023). Artificial intelligence and the future of teaching and learning: Insights and recommendations. u. s. Department of Education, Office of Educational Technology. https://www.ed.gov/sites/ed/files/documents/ai-re-port/ai-report.pdf

Comisión Europea. (2026). Guidelines on the ethical use of artificial intelligence and data in teaching and learning for educators: updated. Publications Office of the European Union. https://doi.org/10.2766/7967834

Darvishi, A.; Khosravi, H.; Sadiq, S.; Gašević, D. y Siemens, G. (2024). Impact of aI assistance on student agency. Computers and Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967

Funa, A. A. y Gabay, R. A. E. (2025). Policy guidelines and recommendations on aI use in teaching and learning: A meta-synthesis study. Social Sciences and Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2024.101221

Garzón, J.; Patiño, E. y Marulanda, C. (2025). Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges. Multimodal Technologies and Interaction, 9 (8). https://doi.org/10.3390/mti9080084

Gouseti, A.; James, F.; Fallin, L. y Burden, K. (2025). The ethics of using aI in K-12 education: a systematic literature review. Technology, Pedagogy and Education, 34 (2), 161–182. https://doi.org/10.1080/1475939X.2024.2428601

Holmes, W.; Porayska-Pomsta, K.; Holstein, K.; Sutherland, E.; Baker, T.; Shum, S. B.; Santos, O. C.; Rodrigo, M. T.; Cukurova, M.; Bitten-court, I. I. y Koedinger, K. R. (2022). Ethics of aI in Education:

Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32 (3), 504–526. https://doi.org/10.1007/s40593-021-00239-1

Holmes, W. y Tuomi, I. (2022). State of the art and practice in aI in education. European Journal of Education, 57 (4), 542–570. https://doi.org/10.1111/ejed.12533

Khosravi, H.; Shum, S. B.; Chen, G.; Conati, C.; Tsai, Y. S.; Kay, J.; Knight, S.; Martinez-Maldonado, R.; Sadiq, S. y Gašević, D. (2022). Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074. https://doi.org/10.1016/j.caeai.2022.100074

McDonald, N.; Johri, A.; Ali, A. y Collier, A. H. (2025). Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines. Computers in Human Behavior: Artificial Humans, 3, 100121. https://doi.org/10.1016/j.chbah.2025.100121

Memarian, B. y Doleck, T. (2023). Fairness, Accountability, Transparency, and Ethics (FaTe) in Artificial Intelligence (aI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5, 100152. https://doi.org/10.1016/j.caeai.2023.100152

Miao, F.; Holmes, W.; Huang, R. y Zhang, H. (2021). AI and education: Guidance for policy-makers. uNesco. https://unesdoc.unesco.org/ark:/48223/pf0000376709

Monreal-Ávila, R. (2024). Iniciativa con proyecto de decreto por el que se expide Ley Federal que Regula la Inteligencia Artificial. https://bitly.ws/3dBFw.

Mouta, A.; Pinto-Llorente, A. M. y Torrecilla-Sánchez, E. M. (2024). Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education.

International Journal of Artificial Intelligence in Education, 34 (3), 1166–1205. https://doi.org/10.1007/s40593-023-00384-9

Nguyen, A.; Ngo, H. N.; Hong, Y.; Dang, B. y Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28 (4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

ocDe, Organización para la Cooperación y el Desarrollo Económicos. (2023). OECD Digital Education Outlook 2023: Towards an effective digital education ecosystem. oecD Publishing. https://doi.org/10.1787/c74f03de-en

— (2026). OECD Digital Education Outlook 2026: Exploring effective uses of generative AI in education. oecD Publishing. https://doi.org/10.1787/062a7394-en

Senado de la República. (2025). Hacia un marco normativo para la inteligencia artificial (IA) en México: Transcripciones íntegras de los seis conversatorios temáticos 2024-2025.

Stracke, C. M.; Griffiths, D.; Pappa, D.; Bećirović, S.; Polz, E.; Perla, L.; Di-Grassi, A.; Massaro, S.; Skenduli, M. P.; Burgos, D.; Punzo, V.; Amram, D.; Ziouvelou, X.; Katsamori, D.; Gabriel, S.; Nahar, N.; Schleiss, J. y Hollins, P. (2025). Analysis of Artificial Intelligence Policies for Higher Education in Europe. International Journal of Interactive Multimedia and Artificial Intelligence, 9 (2), 124–137. https://doi.org/10.9781/ijimai.2025.02.011

uNesco, Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2023). Guidance for generative AI in education and research. https://doi.org/10.54675/ewzm9535

— (2024). AI competency framework for teachers. https://doi.org/10.54675/zjte2084

— (2025). AI and Education: Protecting the Rights of Learners. https://doi.org/10.54675/roqh4287

Yan, Y.; Liu, H. y Chau, T. (2025). A systematic review of aI ethics in education: Challenges, policy gaps, and future directions. Journal of Global Information Management, 33 (1). https://doi.org/10.4018/JGIM.386381

Zhu, H.; Sun, Y. y Yang, J. (2025). Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks. Humanities and Social Sciences Communications, 12 (1). https://doi.org/10.1057/s41599-025-05252-6