Examinando Recomendaciones para el Uso de la Inteligencia Artificial Generativa con Integridad desde una Lente de Enseñanza y Aprendizaje
DOI:
https://doi.org/10.30827/relieve.v29i2.29295Palabras clave:
Inteligencia Artificial, Inteligencia Artificial Generativa, Modelos de Lenguaje Avanzados, Integridad Académica, Scholarship of Teaching and Learning, Enfoque de SistemasResumen
Los recientes avances en el ámbito de la Inteligencia Artificial (IA) han posibilitado el desarrollo de la IA Generativa, la que puede generar texto que se asemeja a la producción humana. En consecuencia, han surgido rápidamente inquietudes por parte de los educadores en el sector de la educación superior. Numerosas organizaciones y expertos han abordado dichas preocupaciones mediante la formulación de recomendaciones. En el presente artículo conceptual, hacemos uso del Modelo Integrado para la Integridad Académica desde un Lente del Scholarship of Teaching and Learning, con el propósito de fomentar la discusión a partir de doce documentos que se enfocan en la utilización de la IA Generativa con integridad. Identificamos recomendaciones apropiadas a nivel individual (micro), departamental/programático (meso), institucional (macro) y a niveles interinstitucionales/nacionales/internacionales (mega), enfocándonos en dos elementos fundamentales del modelo: “Aprendizaje Profesional de Alto Impacto para Individuos y Grupos” y “Liderazgo a Nivel Local y Microculturas”. Observamos una carencia de sugerencias en relación con el elemento “Investigación e Indagación” en los niveles micro y meso. Además, se constató la ausencia de recomendaciones para “Espacios de Aprendizaje, Pedagogías y Tecnologías” en los niveles meso, macro y mega. Reconocemos que estas recomendaciones se centran en el aprendizaje y van más allá de la conducta de los estudiantes, lo cual se encuentra en consonancia con las tendencias actuales en integridad académica. Asimismo, proponemos explorar formas de brindar un mayor respaldo a las redes y líderes para crear las condiciones propicias para promover el uso ético de la IA Generativa.
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