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Uso de IA en la revisión por pares: Todavía puede ser necesaria una regulación estricta

Shigeki Matsubara^1,2,3

¹Department of Obstetrics and Gynecology, Jichi Medical University, Tochigi, Japan.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics

|February 14, 2026

Resumen

No se debe utilizar inteligencia artificial (IA) para la revisión por pares de manuscritos, a pesar de las posibles mejoras en la eficiencia. Se necesita una regulación estricta hasta que la IA

Área de la Ciencia:

Publicación científica y evaluación de manuscritos.
El papel de la inteligencia artificial (IA) en la investigación académica.

Sus antecedentes:

La revisión de manuscritos es esencial para el progreso y la integridad científica.
La inteligencia artificial (IA) ofrece eficiencia potencial en tareas académicas, incluida la escritura.
Las regulaciones actuales sobre el uso de IA en la revisión de manuscritos son más estrictas que para la IA en la escritura.

Objetivo del estudio:

Evaluar la idoneidad y las implicaciones del uso de la inteligencia artificial (IA) en la revisión por pares de manuscritos.
Abordar el debate en torno a la adopción de la IA en la revisión por pares debido a la escasez de revisores y las presuntas inequidades.

Principales métodos:

Este estudio es un análisis conceptual y una discusión de las prácticas actuales y los posibles impactos futuros.
Examina los argumentos a favor y en contra del uso de la IA en la revisión por pares.
Considera el panorama regulatorio y las consideraciones éticas.

Principales resultados:

La revisión por pares debe ser realizada por expertos humanos ('pares') en lugar de IA.
Algunos abogan por un uso más amplio de la IA en la revisión debido a la escasez de revisores y la aceptación de la IA en la escritura.
Los efectos a largo plazo de la IA en la publicación científica y la cognición humana son actualmente desconocidos.

Conclusiones:

Se debe mantener una regulación estricta de la IA en la revisión por pares.
Se requiere más investigación y evidencia para confirmar la utilidad y seguridad de la IA en este proceso científico crítico.
Priorizar la supervisión humana en la revisión por pares garantiza el rigor y la integridad científica.

Palabras clave:

ChatGPT inteligencia artificial autor revisión revisor

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