Teaching Artificial Intelligence Ethics in Universities

Authors

  • Mauricio Rojas-Contreras Universidad de Pamplona, Pamplona, Colombia
  • Laura Patricia Villamizar-Carrillo Universidad de Pamplona, Pamplona, Colombia
  • Jose Liviston Mendoza-Bejarano Universidad de Pamplona, Pamplona, Colombia

DOI:

https://doi.org/10.61799/2216-0388.1972

Keywords:

Artificial intelligence, Generative Artificial Intelligence, AI ethics, AI ethics education, AI microethics

Abstract

The rapid integration of artificial intelligence systems in universities has opened a significant gap between the speed of technological and instrumental adoption and the ethical preparedness of academic stakeholders. Despite the proliferation of large-scale language models and agent architectures, most university curricula do not include specific courses on AI ethics, leaving students and faculty exposed to concrete risks: algorithmic biases, privacy compromises, and a potential erosion of cognitive skills. This paper examines curricular integration strategies and institutional governance frameworks that guide the teaching of this ethical dimension, with the aim of offering applicable guidelines for higher education institutions. Through a multi-method approach which combines a critical literature review with methodological triangulation of sources obtained through search engines and AI super-agents, emerging trends and persistent challenges in the field were identified. The findings demonstrate broad consensus regarding the need for interdisciplinary approaches and active methodologies, including case-based learning; However, significant obstacles remain: the fragmentation of curricular content, the shortage of teachers with dual technical and ethical expertise, and the lack of robust regulatory frameworks. It is concluded that the effective integration of AI ethics must be systematic and cross-cutting, aligned with international standards such as the UNESCO Recommendation on AI Ethics, so that reactive technological adoption gives way to a proactive strategy that trains graduates as responsible co-creators of human-centered technologies.

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References

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Published

2026-09-01

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How to Cite

[1]
Rojas-Contreras, M. et al. 2026. Teaching Artificial Intelligence Ethics in Universities. Mundo FESC Journal. 16, 36 (Sep. 2026). DOI:https://doi.org/10.61799/2216-0388.1972.

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