Gobernanza de IA centrada en el usuario en el panorama de la educación superior en Filipinas
DOI:
https://doi.org/10.48017/dj.v11iSpecial_1.3811Palabras clave:
integridad académica, gobernanza de la IA centrada en el usuario, inteligencia artificial, capacidad de decisión humana, tecnología educativaResumen
Las instituciones académicas se enfrentan a la necesidad imperiosa de formular una política bien definida que garantice el uso responsable y ético de la inteligencia artificial (IA) en sus planes de estudio y en la implementación de la enseñanza. Si bien la IA en la educación ofrece un enorme potencial, existe una falta de exploración exhaustiva sobre el desarrollo adecuado de marcos normativos y su aplicabilidad en su entorno de usuario. El estudio analiza el caso de una institución de educación superior filipina en su búsqueda por desarrollar un marco de gobernanza de la IA. El estudio involucró a 18 profesores universitarios filipinos de diferentes disciplinas y unidades académicas en un grupo focal presencial el 15 de enero de 2025 en Intramuros, Manila, Filipinas. La síntesis de la discusión mostró que existe una necesidad apremiante de un marco de gobernanza de la IA que se ajuste a las necesidades y la cultura de la institución. Sin embargo, expresaron una preferencia específica por políticas más orientadas a la orientación, es decir, más educativas que reguladoras. Tres (3) temas principales sobre el uso de la IA son la adaptación tecnológica, la participación académica y los resultados de la evaluación. La agencia humana se identificó como un mediador importante, haciendo especial hincapié en su papel de adaptación a su entorno. Cuanto más abiertos sean el entorno y la cultura académica respecto al uso de herramientas asistidas por IA, mayor será la probabilidad de que los usuarios se muestren más receptivos a la divulgación y más cautelosos éticamente en su uso. El estudio concluyó con una recomendación sobre la importancia de la autonomía de las instituciones académicas en marcos educativos que no dependan de prácticas de evaluación comparativa y que se centren más en las necesidades del entorno del usuario, lo que promoverá un enfoque más dinámico, innovador y centrado en el usuario para el desarrollo de políticas de IA.
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