Autoría e integridad científica ante la inteligencia artificial generativa en la escritura doctoral y la publicación académica: una revisión narrativa
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https://doi.org/10.47606/ACVEN/PH0548Palabras clave:
autoría académica, escritura doctoral, integridad científica, inteligencia artificial generativa, publicación responsableResumen
El control de las decisiones intelectuales, el registro del proceso y las responsabilidades de investigadores, supervisores y actores editoriales son tan relevantes como el texto final cuando se examina la intervención de la IA generativa en la escritura doctoral y la publicación académica. En tal sentido, se realizó una revisión narrativa con búsqueda estructurada en las bases de Scopus y Redalyc el 15 de julio de 2026. En total se incluyeron 239 registros en el análisis, de los cuales 7 eran duplicados y 232 fueron evaluados mediante título y resumen, 49 avanzaron a la etapa de recuperación a texto completo, 3 no pudieron recuperare. A texto completo se evaluaron 46, 5 fueron excluidos, quedando 41 fuentes a conformar el corpus definitivo, distribuidas en 26 principales y 15 complementario. A partir del análisis documental, se generaron cuatro ejes: agencia autoral, supervisión doctoral, trazabilidad del proceso investigativo y responsabilidad editorial. La literatura evaluada coincide en afirmar la responsabilidad humana, pero de manera no homogénea sugiere los límites entre asistencia y sustitución, o qué evidencias darían cuenta de la reconstrucción, del uso de dichas herramientas, especialmente en el acompañamiento doctoral bajo políticas institucionales concretas.
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Derechos de autor 2026 Luis Guillermo Puño-Canqui , Martin Gaspar Magallanes-Sebastian , Guadalupe Badillo-Marquez , James Dan Ponce-Bardales , Rosa Luz Carrillo-Atahualpa , Zamara Elaine Ponce-Bardales
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
