Los retos de la IA en la educación: de la protección de datos a los sesgos algorítmicos

Contenido principal del artículo

Aïssa Messaoudi

Resumen

Este artículo examina el impacto de la inteligencia artificial (IA) en el ámbito de la educación y explora sus ventajas y retos. El uso de la IA en el sector educativo ofrece muchas ventajas, como la automatización de tareas administrativas repetitivas y la personalización de las vías de aprendizaje. Sin embargo, esto plantea problemas éticos sobre la protección de datos personales y el riesgo de sesgo algorítmico. Además, abordamos otros retos: los relacionados con la oposición entre la evaluación automatizada y la humana, así como las complejas implicaciones del reconocimiento facial en un contexto educativo. Es esencial que se diseñe un enfoque reflexivo y ético para el despliegue de la IA en la educación, haciendo hincapié en la necesidad de unos principios éticos claros y transparentes y de una cuidadosa reflexión pedagógica. Recomendamos el uso de herramientas de IA de código abierto para fomentar la transparencia y el cumplimiento de la normativa vigente.

Detalles del artículo

Cómo citar
Messaoudi, A. (2024). Los retos de la IA en la educación: de la protección de datos a los sesgos algorítmicos. Mediaciones Y Mediatizaciones, (18), 148–160. https://doi.org/10.52358/mm.vi18.409
Sección
Las discusiones y debates

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