La inteligencia artificial en la educación: potencial transformador, riesgos de sesgo y desafíos éticos

Elena Del Valle

doi:10.35362/rie9916838

Authors

Elena Del Valle Universidad Europea (UE), España https://orcid.org/0000-0002-8759-6171

DOI:

https://doi.org/10.35362/rie9916838

Keywords:

artificial intelligence, education, algorithmic bias, digital ethics, personalized learning

Abstract
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Abstract

Artificial Intelligence (AI) has emerged as a disruptive tool across multiple domains, with education standing out as one of the sectors where its impact can be most transformative. From personalized learning to the automation of administrative tasks, AI applications in education present unprecedented opportunities, but also considerable risks—especially those related to algorithmic bias. This article critically examines the potential of AI in education, the implications of algorithmic bias, and the urgent need for ethical and regulatory frameworks. Recent findings, practical experiences, and current debates are integrated to promote a responsible, inclusive, and human-centered implementation of AI technologies in educational settings.

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References

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How to Cite

Del Valle, E. (2025). Artificial Intelligence in Education: Transformative Potential, Bias Risks, and Ethical Challenges. Iberoamerican Journal of Education, 99(1), 79–93. https://doi.org/10.35362/rie9916838