Moral Identity and Ethical Use of Generative Artificial Intelligence in Higher Education

Authors

DOI:

https://doi.org/10.19136/etie.v9n17.6391

Keywords:

moral identity, generative artificial intelligence, academic integrity, ethics in higher education, moral behavior

Abstract

This article analyzes how moral identity theory can help address the ethical challenges associated with the use of generative artificial intelligence (GAI) in higher education. Drawing on recent evidence showing the widespread adoption of these technologies among university students, the paper examines tensions between technological innovation, academic integrity, and professional education. Using an analytical and argumentative approach based on an interdisciplinary literature review in moral psychology, applied ethics, and higher education studies, the article first conceptualizes the use of GAI as an ethical-educational issue. It discusses risks related to academic dishonesty, cognitive dependency, and epistemic problems such as bias and hallucinations in AI systems. The paper then develops the conceptual framework of moral identity, highlighting its role as a self-regulatory mechanism that connects internalized moral values with behavior. Building on this framework, the article argues that fostering values such as honesty, epistemic responsibility, and fairness can support ethical uses of GAI beyond external monitoring or sanctioning mechanisms. Finally, the study contrasts this educational perspective with institutional responses based on prohibition or technological surveillance, pointing out their practical and pedagogical limitations and proposing the integration of moral identity development into university education.

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References

Aquino, K., y Reed II, A. (2002). The self-importance of moral identity. Journal of Personality and Social Psychology, 83(6), 1423–1440. https://doi.org/10.1037/0022-3514.83.6.1423

Bittle, K., y El-Gayar, O. (2025). Generative AI and academic integrity in higher education: A systematic review and research agenda. Information, 16(4), 296. https://doi.org/10.3390/info16040296

Blasi, A. (1984). Moral identity: Its role in moral functioning. En W. M. Kurtines y J. L. Gewirtz (Eds.), Morality, moral behavior, and moral development (pp. 128–139). Wiley.

Blasi, A. (1993). The development of identity: Some implications for moral functioning. En G. Noam y T. Wren (Eds.), The moral self (pp. 99–122). MIT Press.

Boegershausen, J., Aquino, K., y Reed II, A. (2015). Moral identity. Current Opinion in Psychology, 6, 162–166. https://doi.org/10.1016/j.copsyc.2015.07.017

Deep, P. D., Edgington, W. D., Ghosh, N., y Rahaman, M. S. (2025). Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education. Information, 16(10), 905. https://doi.org/10.3390/info16100905

Deschenes, A., y McMahon, M. (2024). A survey on student use of generative AI chatbots for academic research. Evidence Based Library and Information Practice, 19(2), 2–22. https://doi.org/10.18438/eblip30512

Digital Education Council. (2024). Digital Education Council Global AI Student Survey 2024. AI or Not AI: What Students Want. https://www.digitaleducationcouncil.com/form/global-ai-student-survey-2024

Digital Education Council. (2026). Encuesta sobre la IA en la educación superior en América Latina 2026. Digital Education Council, Tecnológico de Monterrey e Institute for the Future of Education. https://www.digitaleducationcouncil.com/post/ai-in-higher-education-latam-survey-2026

Emsley, R. (2023). ChatGPT: These are not hallucinations–they’re fabrications and falsifications. Schizophrenia, 9(1), 52. https://www.nature.com/articles/s41537-023-00379-4

Erikson, E. H. (1968). Identity: Youth and crisis. W. W. Norton.

Freeman, J. (2025). Student Generative AI Survey 2025 (HEPI Policy Note 61). Higher Education Policy Institute. https://www.hepi.ac.uk/wp-content/uploads/2025/02/HEPI-Kortext-Student-Generative-AI-Survey-2025.pdf

Hertz, S. G., y Krettenauer, T. (2016). Does moral identity effectively predict moral behavior? A meta-analysis. Review of General Psychology, 20(2), 129–140. https://scholars.wlu.ca/psyc_faculty/112/

Huang, D., Hash, N., Cummings, J. J., y Prena, K. (2025). Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior. Computers and Education: Artificial Intelligence, 8, 100424. https://doi.org/10.1016/j.caeai.2025.100424

International Center for Academic Integrity. (2025). Fundamental Values. https://academicintegrity.org/aws/ICAI/pt/sp/values

Jennings, P. L., Mitchell, M. S., y Hannah, S. T. (2015). The moral self: A review and integration of the literature. Journal of Organizational Behavior, 36(S1), S104–S168. https://doi.org/10.1002/job.1919

Jiao, J., Afroogh, S., Chen, K., Atkinson, D., y Dhurandhar, A. (2025). The global landscape of academic guidelines for generative AI and LLMs. Nature Human Behaviour, 9, 638–642. https://doi.org/10.1038/s41562-025-02124-6

Lapsley, D. (2015). Moral identity and developmental theory (Commentary on Krettenauer and Hertz). Human Development, 58, 164–171. https://doi.org/10.1159/000435926

Lefebvre, J. P., y Krettenauer, T. (2019). Linking moral identity with moral emotions: A meta-analysis. Review of General Psychology, 23, 444–457. https://scholars.wlu.ca/bpsy_faculty/4/

Maleki, N., Padmanabhan, B., y Dutta, K. (2024, junio). AI hallucinations: A misnomer worth clarifying. En 2024 IEEE conference on artificial intelligence (CAI) (pp. 133–138). IEEE. https://ieeexplore.ieee.org/abstract/document/10605268

Marcia, J. E. (1966). Development and validation of ego-identity status. Journal of Personality and Social Psychology, 3(5), 551–558. https://doi.org/10.1037/h0023281

McAdams, D. P. (1993). The stories we live by: Personal myths and the making of the self. Guilford Press. https://archive.org/details/storieswelivebyp0000mcad/page/8/mode/2up

Miles, P. J., Campbell, M., y Ruxton, G. D. (2022). Why students cheat and how understanding this can help reduce the frequency of academic misconduct in higher education: A literature review. Journal of Undergraduate Neuroscience Education: JUNE: A Publication of FUN, Faculty for Undergraduate Neuroscience, 20(2), A150–A160. https://doi.org/10.59390/LXMJ2920

Narvaez, D., y Lapsley, D. K. (2009). Moral identity, moral functioning, and the development of moral character. Psychology of Learning and Motivation, 50, 237–274.

National Institute of Standards and Technology. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST AI 100-1).

OpenAI. (2023, enero). Nuevo clasificador de IA para indicar texto escrito con IA. https://openai.com/es-419/index/new-ai-classifier-for-indicating-ai-written-text/

Salvagno, M., Taccone, F. S., y Gerli, A. G. (2023). Artificial intelligence hallucinations. Critical Care, 27(1), 180. https://link.springer.com/article/10.1186/s13054-023-04473-y

Secretaría de Educación Pública. (2025). Usos y percepciones sobre la inteligencia artificial generativa en la educación superior mexicana: Encuesta Nacional (ENIAG 2025). Secretaría de Educación Pública. https://www.gob.mx/cms/uploads/attachment/file/1071411/Dossier_Resultados_ENIAG2025_SEP_.pdf

Turnitin. (2026). Using the AI Writing Report. https://guides.turnitin.com/hc/en-us/articles/22774058814093-Using-the-AI-Writing-Report

UNESCO. (2023). Guía para el uso de IA generativa en educación e investigación (F. Miao y W. Holmes, autores). https://doi.org/10.54675/EWZM9535

Xu, X., Li, M., Kwan, H. K., y Zhang, X. (2024). The antecedents of moral identity: A meta-analytic review. Asia Pacific Journal of Management, 41, 1697–1728. https://doi.org/10.1007/s10490-023-09891-8

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Published

2026-07-01

How to Cite

García Avitia, C. A. (2026). Moral Identity and Ethical Use of Generative Artificial Intelligence in Higher Education. Emerging Trends in Education, 9(17), 1-15. https://doi.org/10.19136/etie.v9n17.6391