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Perspectivas de los evaluadores académicos de enfermería sobre la revisión por pares asistida por IA: desafíos éticos y aceptación

  • 0Department of Family and Community Medicine, College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia.

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Resumen

Este resumen es generado por máquina.

Los revisores académicos de enfermería ven los beneficios de la inteligencia artificial (IA) en la revisión por pares, pero tienen preocupaciones éticas. Se necesitan pautas para garantizar que la IA apoye, no reemplace, el juicio humano en el trabajo académico.

Área De La Ciencia

  • Beca de Enfermería
  • Revisión académica por pares
  • Ética de la inteligencia artificial

Sus Antecedentes

  • La integración de la inteligencia artificial (IA) en la revisión académica por pares está evolucionando rápidamente.
  • Comprender las perspectivas de los revisores académicos de enfermería es crucial para la adopción ética de la IA.

Objetivo Del Estudio

  • Explorar las percepciones y experiencias de los revisores académicos de enfermería con la IA en la revisión por pares.
  • Identificar las consideraciones éticas y las dinámicas de aceptación de la integración de la IA.
  • Informar la política de la revista de enfermería con respecto al uso de la IA.

Principales Métodos

  • Diseño descriptivo cualitativo con un enfoque interpretativo.
  • Entrevistas semiestructuradas con 15 revisores académicos de enfermería de cuatro países.
  • Análisis temático de los datos de las entrevistas.

Principales Resultados

  • Los revisores perciben los beneficios de la IA en eficiencia, equidad y reducción de la carga de trabajo.
  • Las preocupaciones éticas incluyen la transparencia, el sesgo, la privacidad de los datos y los riesgos para la autonomía del revisor.
  • Las actitudes divergentes hacia la adopción de la IA requieren directrices y capacitación claras.

Conclusiones

  • La IA ofrece oportunidades para la eficiencia de la revisión por pares, pero presenta desafíos éticos significativos.
  • Los revisores de enfermería son cautelosamente optimistas, haciendo hincapié en la IA como una herramienta de apoyo, no un reemplazo para el juicio humano.
  • La adopción ética de la IA requiere una gobernanza transparente, educación de los revisores y políticas que preserven la integridad académica.

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