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

Elena Del Valle

doi:10.35362/rie9916838

Autores/as

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

DOI:

https://doi.org/10.35362/rie9916838

Palabras clave:

inteligencia artificial, educación, sesgo algorítmico, ética digital, personalización del aprendizaje

Resumen
Referencias
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Cómo citar

Resumen

La inteligencia artificial (IA) se ha posicionado como una herramienta disruptiva en múltiples ámbitos, siendo la educación uno de los sectores donde su impacto puede ser más transformador. Desde la personalización del aprendizaje hasta la automatización de procesos administrativos, las aplicaciones de la IA en el ámbito educativo plantean oportunidades inéditas, pero también riesgos considerables, en especial relacionados con el sesgo algorítmico. Este artículo explora, desde una perspectiva crítica, el potencial de la IA en la educación, las implicaciones del sesgo algorítmico y la necesidad urgente de marcos éticos y regulatorios. Se integran hallazgos recientes, experiencias prácticas y debates contemporáneos, con el objetivo de fomentar una implementación responsable, inclusiva y centrada en el ser humano.

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Cómo citar

Del Valle, E. (2025). La inteligencia artificial en la educación: potencial transformador, riesgos de sesgo y desafíos éticos. Revista Iberoamericana De Educación, 99(1), 79–93. https://doi.org/10.35362/rie9916838