•  
  •  
 

La ética de la inteligencia artificial generativa en educación a debate. Perspectiva desde el desarrollo de un caso de estudio teórico-práctico

DOI

10.22550/2174-0909.4577

Abstract

This article examines the ethics of generative artificial intelligence (GenAI) in higher education from a theoretical and practical perspective. It reflects the growing importance of teaching ethics in information technology and its impact on society. Its aim is to develop a training model that integrates ethical reflection on GenAI into the education of computer engineering students. To achieve this, a case study is used based on the Social and Environmental Aspects of Computer Science module at the Universidad Politécnica de Cataluña, in which the theoretical principles of artificial intelligence (AI) ethics are applied through a case study of the use of GenAI within the course. Several examples of GenAI systems within AI applied to education are introduced. One of the examples, developed by the authors, involves an AI assistant built using the LAMB framework that enables students to analyse the proposed case using the PESTLE (political, economic, social, technological, legal, and environmental) method with the assistant acting as an expert. Students are then required to analyse a similar case study in another domain. The results suggest that this theoretical-practical approach, where abstract concepts of AI ethics and safety are grounded in specific decisions about application and concrete technological artefacts, effectively integrates ethical reflection into engineering education, highlighting the need for multidisciplinary approaches to address emerging ethical challenges in AI and education.

Financiación | Funding

This research is part funded by the Spanish Ministry of Science and Innovation through the AvisSA project, (reference PID2020- 118345RB-I00), the Department of Research and Universities of the Regional Government of Catalonia through the 2021 SGR 01412 support for research groups, and the Universidad del País Vasco/Euskal Herriko Unibertsitatea through the GIU21/037 contract within the “Call for Funding for Research Groups in the Universidad del País Vasco/Euskal Herriko Unibertsitatea (2021)” programme.

Referencias | References

ABET - Engineering Accreditation Commission. (2021). 2022-2023 Criteria for Accrediting Engineering Programs. https://d66z.short.gy/WvENCg.

Alier, M. (2024, October 24). Beyond the palantír. Safe AI in education from ethics to tools [Keynote Address]. Technological Ecosystems for Enhancing Multiculturality 2024 (TEEM 2024), Alicante, España.

Alier, M., Pereira, J., Garcia-Peñalvo, F. J., Casañ, M. J., & Cabré, J. (2025). LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems. Computer Standards y Interfaces, 92, 103940. https://doi.org/10.1016/j.csi.2024.103940

Alier, M., García-Peñalvo, F. J., & Camba, J. D. (2024a). Generative artificial intelligence in education: From deceptive to disruptive. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5), 5-14. https://doi.org/10.9781/ijimai.2024.02.011

Alier, M., García-Peñalvo, F. J., Casañ, M. J., Pereira, J. A., & Llorens-Largo, F. (2024b). Manifiesto para una IA Segura en la Educación (versión en español). Version 0.4.0 [Safe Ai in Education Manifesto]. https://manifesto.safeaieducation.org/index_es.html

Alier, M., García-Peñalvo, F. J., Casañ, M. J., Pereira, J. A., & Llorens-Largo, F. (2024c). Safe AI in Education Manifesto. Version 0.4.0. https://manifesto.safeaieducation.org

Altman, S., Brockman, G., & Sutskever, I. (2023, 22 de mayo). Governance of superintelligence. OpenAI. https://openai.com/index/governance-of-superintelligence/

Anurag, Vyas, N., & Lilhore, U. K. (2023). Transforming work: The impact of artificial intelligence (AI) on modern workplace. In N. Chaudhary (Ed.), Proceedings of the 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS) (pp. 602-607). IEEE. https://doi.org/10.1109/ICTACS59847.2023.10390258

Bellogín, A., Grau, O., Larsson, S., Schimpf, G., Sengupta, B., & Solmaz, G. (2024). The EU AI act and the wager on trustworthy AI. Communications of the ACM, 67(12), 58-65. https://doi.org/10.1145/3665322

Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.

Bowden, P. (2010). Teaching ethics to engineers - A research-based perspective. European Journal of Engineering Education, 35(5), 563-572. https://doi.org/10.1080/03043797.2010.497549

Bynum, T. W., Maner, W., & Fodor, J. L. (Eds.). (1992). Teaching computer ethics. Southern Connecticut State University.

Cameron, J. (Director) (1984). The Terminator [Film]. Orion Pictures.

Casañ, M. J., & Alier, M. (2024). Case studies about moral dilemas to apply ethical theories in engineering education. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 19, 1-6. https://doi.org/10.1109/RITA.2024.3368609

Casañ, M. J., Alier, M., & Llorens, A. (2020). Teaching ethics and sustainability to informatics engineering students, an almost 30 years’ experience. Sustainability, 12(14), 5499. https://doi.org/10.3390/su12145499

Casañ, M. J., Alier, M., Pereira, J., & García-Peñalvo, F. J. (2024). Asistentes de aprendizaje basados en inteligencia artificial: principios de seguridad y experiencias de implementación en educación superior [Artificial intelligence-based learning assistants: Security principles and implementation experiences in higher education]. In M. Navarro, J. J. Sánchez, P. Berbel, & C. Rodríguez-Jiménez (Eds.), Investigación y conocimientos en la educación actual [Research and knowledge in education today] (pp. 13-35). Dykinson.

Casañ, M. J., Llorens, A., Alier, M., & Pereira, J. (2025). Using an AI based learning assistant for a PESTLE case study learning activity. In Proceedings of the 12th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM) 2024. Springer.

Dal Bó, E. (2006). Regulatory capture: A review. Oxford Review of Economic Policy, 22(2), 203-225. https://doi.org/10.1093/oxrep/grj013

Diamandis, P. H., & Kotler, S. (2012). Abundance: The future is better than you think. The Free Press.

Elmoudden, S., & Wrench, J. S. (Eds.). (2024). The role of generative AI in the communication classroom. IGI Global. https://doi.org/10.4018/979-8-3693-0831-8

Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., Mahari, R., Pentland, A., Russakovsky, O., Schroeder, H., & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110-1111. https://doi.org/10.1126/science. adh4451

Escobar, D. (2024, September 10). Reemplazan profesores por inteligencia artificial: la educación de los niños con realidad virtual y mucho más [Replacing teachers with artificial intelligence: Educating children with virtual reality and more]. Infobae. https://d66z.short.gy/vvFgTW

European Parliament, & Council of the European Union. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). https://bit.ly/2O2juE9

Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4). Comunicar, 31(74), 35-44. https://doi.org/10.3916/C74-2023-03

García-Peñalvo, F. J., & Vázquez-Ingelmo, A. (2023). What do we mean by GenAI? A systematic mapping of the evolution, trends, and techniques involved in generative AI. International Journal of Interactive Multimedia and Artificial Intelligence, 8(4), 7-16. https://doi.org/10.9781/ijimai.2023.07.006

García-Peñalvo, F. J., Llorens-Largo, F., & Vidal, J. (2024). The new reality of education in the face of advances in generative artificial intelligence. RIED: revista iberoamericana de educación a distancia, 27(1), 9-39. https://doi.org/10.5944/ried.27.1.37716

González-Geraldo, J. L., & Ortega-López, L. (2024). Can AI fool us? University students’ lack of ability to detect ChatGPT. Education in the Knowledge Society, 25, e31760. https://doi.org/10.14201/eks.31760

Gotterbarn, D., Miller, K., & Rogerson, S. (1997). Software engineering code of ethics. Communications of the ACM, 40(11), 110-118. https://doi.org/10.1145/265684.265699

Harari, Y. N. (2015). Homo Deus: A brief history of tomorrow. Harvill Secker.

Harari, Y. N. (2024). Nexus: A brief history of information networks from the Stone Age to AI. Random House.

Henriksen, D., Oster, N., Mishra, P., & McCaleb, L. (2025). Generative AI, creativity, culture, and the future of learning: A conversation with Mairéad Pratschke. TechTrends, 69(1), 3-9. https:// doi.org/10.1007/s11528-024-01036-y

Hoyos, D. (2011). Revisiones de la ética de la virtud [Some revisions of virtue ethics]. Estudios de Filosofía, (44), 61-75.

Johnson, D. G. (2009). Computer ethics: Analyzing information technology (4th ed.). Prentice Hall.

Johnson, D. G. (2017). Can engineering ethics be taught? The Bridge, 47, 59-64. Jonze, S. (director) (2013). Her [Film]. Warner Bros. Pictures.

Jovanović, M., & Campbell, M. (2022). Generative artificial intelligence: Trends and prospects. Computer, 55(10), 107-112. https://doi.org/10.1109/MC.2022.3192720

Kanbach, D. K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A. (2024). The GenAI is out of the bottle: Generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 18(4), 1189-1220. https://doi.org/10.1007/s11846-023-00696-z

Kar, A. K., Choudhary, S. K., & Singh, V. K. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 376, 134120. https://doi.org/10.1016/j.jclepro.2022.134120

Kumar, A. N., Raj, R. K., Aly, S. G., Anderson, M. D., Becker, B. A., Blumenthal, R. L., Eaton, E., Epstein, S. L., Goldweber, M., Jalote, P., Lea, D., Oudshoorn, M., Pias, M., Reiser, S., Servin, C., Simha, R., Winters, T., & Xiang, Q. (2024). Computer Science Curricula 2023. ACM Press, IEEE Computer Society Press and AAAI Press. https://doi.org/10.1145/3664191

Kurzweil, R. (2005). The singularity is near: When humans transcend biology. Viking Penguin.

Leal, J. G. (1982). La teoría del contrato social: Spinoza frente a Hobbes [The theory of the social contract: Spinoza vs. Hobbes]. Revista de estudios políticos, (28), 125-194.

Maner, W. (1980). Starter kit in computer ethics. Helvetia Press; National Information and Resource Center for Teaching Philosophy.

Martínez-Arboleda, A. (2024). Language sustainability in the age of artificial intelligence. Alfinge, 36(36), 1-37. https://doi.org/10.21071/arf.v36i.17761

Meyer, B. (2011, October 28). John McCarthy. BLOG@CACM. https://d66z.short.gy/P91Wo6

Miñano, R., Uribe, D., Moreno-Romero, A., & Yáñez, S. (2019). Embedding sustainability competences into engineering education. The case of informatics engineering and industrial engineering degree programs at Spanish universities. Sustainability, 11(20), 5832. https://doi.org/10.3390/su11205832

Moore, G. (1965). Cramming more components onto integrated circuits. Electronics Magazine, 38(8), 114-117.

Morrison, R. (2024, November 12). Sam Altman claims AGI is coming in 2025 and machines will be able to think like humans when it happens. Tom’s guide. https://d66z.short.gy/dJBnLv

Parra, Y. J., Theran, C., & Aló, R. (2024). Ethical considerations of generative AI: A survey exploring the role of decision makers in the loop. Proceedings of the AAAI Symposium Series, 3(1), 391-398. https://doi.org/10.1609/aaaiss.v3i1.31243

Prieto, E. (2016). La ley del reloj. Arquitectura, máquinas y cultura moderna [The law of the clock. Architecture, machines and modern culture]. Ediciones Cátedra.

Quote Investigator. (2010, December 7). Quote origin: To err is human; to really foul things up requires a computer. Quote Investigator. https://d66z.short.gy/wYawuu

Quote Investigator. (2024, June 20). Quote origin: As soon as it works, no one calls it AI anymore. Quote Investigator. https://d66z.short.gy/dTNx8W

Saltelli, A., Dankel, D. J., Di Fiore, M., Holland, N., & Pigeon, M. (2022). Science, the endless frontier of regulatory capture Futures, 135, 102860. https://doi.org/10.1016/j.futures.2021.102860

Samsi, S., Zhao, D., McDonald, J., Li, B., Michaleas, A., Jones, M., Bergeron, W., Kepner, J., Tiwari, D., & Gadepally, V. (2023). From words to watts: Benchmarking the energy costs of large language model inference. In 2023 IEEE High Performance Extreme Computing Conference (HPEC). IEEE. https://doi.org/10.1109/HPEC58863.2023.10363447

Sevilla, S. (2014). La actualidad de la ética kantiana como metacrítica [The relevance of Kantian ethics as meta-criticism]. In J. J. García, R. Rodriguez, & M. J. Callejo (Eds.), De la libertad del mundo: homenaje a Juan Manuel Navarro Cordón [From the freedom of the world: Homage to Juan Manuel Navarro Cordón] (pp. 375-391). Escolar y Mayo.

Shelley, M. (1831). Frankenstein, or the modern Prometheus. H. Colburn and R. Bentley.

Smith, A., & Yandle, B. (2014). Bootleggers and baptists: How economic forces and moral persuasion interact to shape regulatory politics. Cato Institute.

Spiekermann, S. (2015). Ethical IT innovation: A value-based system design approach. Auerbach Publications.

Tolkien, J. R. R. (1954). The two towers. George Allen y Unwin.

Wei, K., Ezell, C., Gabrieli, N., & Deshpande, C. (2024). How do AI companies “fine-tune” policy? Examining regulatory capture in AI governance. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), 1539-1555. https://doi.org/10.1609/aies.v7i1.31745

Wiener, N. (1950). The human use of human beings. Cybernetics and societ. Houghton Mifflin. Yandle, B. (1983). Bootleggers and Baptists: The education of a regulatory economist. Regulation, 7(3), 12-16.

Zavala, N. L. (1999). Tecnología y ética [Technology and ethics]. Universidad Nacional Autónoma de México.

Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., Liu, P., Nie, J.-Y., & Wen, J.-R. (2024). A survey of large language models. arXiv, Article arXiv:2303.18223v15. https://doi.org/10.48550/arXiv.2303.18223

Author Biography

Francisco-José García-Peñalvo. Doctorate in Computing from the Universidad de Salamanca. He is a university professor in the Department of Computing and Automation at the Universidad de Salamanca (USAL), with four recognised six-year research blocks, one six-year transfer period, and five-year teaching blocks. He was awarded the Gloria Begué prize for teaching excellence in 2019 and the María de Maeztu prize for research excellence in 2023. Since 2006 he has been director of the GRIAL (Interaction and eLearning research group), a USAL-recognised research group that is a consolidated research unit of the regional government of Castilla y León (UIC 81). He is currently the deputy head of the University Institute of Educational Sciences (IUCE) and the coordinator of the Education in the Knowledge Society Doctoral Programme at the Universidad de Salamanca.

https://orcid.org/0000-0001-9987-5584

María-José Casañ-Guerrero. Doctor of Sciences (2013) from the Universidad Politécnica de Cataluña (UPC) (2013), she also has a degree in Computer Engineering from the same university (1997). Since 2004 she has worked as a researcher and teacher, giving classes in the UPC’s Faculty of Computing. She has also been an instructor on courses with the Universidad Abierta de Cataluña (UOC). She has one recognised six-year research block and four five-year teaching blocks (two of them with a special mention for teaching quality). She currently teaches modules relating to software engineering projects, databases, social and environmental aspects of computing, and history of computing.

https://orcid.org/0000-0002-5072-6745

Marc Alier-Forment. Associate professor at the Universidad Politécnica de Cataluña (UPC) since 2002. He has a doctorate in Sustainability and a degree in Computer Engineering from the UPC, and has two recognised six-year research blocks as well as four recognised five-year teaching blocks (three of them with a special mention for teaching quality). His areas of work include computing, information systems, online education, and the ethics of technology. He has participated actively in the Moodle community, collaborating in the creation of modules in the form of wikis, online service layers, and implementing the IMS LTI standard. With more than 25 years’ experience in research and development of educational software, he has published more than 190 scientific articles and is a member of the EduSTEAM research group. He is currently head of the Engineering and Technology Education doctoral programme at the UPC and teaches various modules in the Faculty of Computing in Barcelona. Outside the academic sphere, he is a guitar luthier and has produced various podcasts since 2007.

https://orcid.org/0000-0003-3922-1516

Juan-Antonio Pereira-Varela. Associate professor in the Computing Faculty of the Universidad del País Vasco (UPV/EHU), where he has been teaching for 20 years. He has a doctorate in Software Engineering (2014) and his research centres on generative AI applied to software engineering, as well as on studying the development of open-source software in this area. He has published numerous articles in both areas, participating in various national research projects and a European project. He has written a book on HTML5 and JavaScript APIs (2021). He was recognised for excellence in teaching based on the student evaluations in four consecutive years (2016–2020). He has been joint head of the ZIUR cybersecurity classroom, and has trained various teams for the SWERC programming competition. He is currently the lead developer on two projects relating to generative AI: RepoSearch, a semantic search engine of computing final degree project dissertations at a national level and LAMB (learning assistant manager and builder), an open-code project to create AI assistants to help learning.

https://orcid.org/0000-0002-7935-3612

Licencia Creative Commons | Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Included in

Education Commons

Share

COinS