Una guía para el uso ético y responsable de la inteligencia artificial generativa en el ámbito académico.
DOI:
https://doi.org/10.5007/2175-8077.2025.e109536Palabras clave:
Inteligencia Artificial Generativa, Ética en la Investigación, Integridad Científica, Autoría Humana, Gobernanza AcadémicaResumen
Objetivo: Promover una cultura de integridad científica y transparencia en el uso de tecnologías generativas en la investigación académica, proporcionando un marco teórico y práctico para investigadores, profesorado e instituciones de educación superior.
Metodología: El documento se basa en principios éticos, epistemológicos y legales, y se estructura según las directrices internacionales y las políticas editoriales de las principales publicaciones científicas (Elsevier, Springer Nature, Taylor & Francis, SAGE y Emerald Publishing). Establece criterios para el uso aceptable, sensible e inaceptable de GenIA, definiendo claramente los límites entre la asistencia técnica y la autoría intelectual.
Originalidad/Relevancia: La guía destaca por equilibrar la innovación tecnológica y la responsabilidad epistémica, fomentando el uso de GenIA como herramienta de apoyo a la investigación y no como sustituto de la reflexión humana. Su relevancia radica en abordar una brecha crítica en el contexto académico contemporáneo: la necesidad de directrices éticas claras ante la creciente adopción de tecnologías generativas.
Resultados: Propone prácticas pedagógicas y formativas para docentes y estudiantes centradas en la alfabetización digital crítica y el desarrollo de competencias éticas y cognitivas. Ofrece protocolos de transparencia institucional, indicadores de madurez digital y directrices para revisores y evaluadores.
Contribuciones teóricas: Consolida un modelo de gobernanza ética para el uso de la IA en la ciencia, guiado por la integridad, la responsabilidad compartida y la valoración de la autoría humana como eje fundamental de la producción académica.
Citas
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