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La toma de decisiones estructurada de la IA en la gestión de desastres

Julian Gerald Dcruz¹, Argyrios Zolotas², Niall Ross Greenwood³

¹Faculty of Engineering and Applied Sciences, Cranfield University, Bedford, UK. juliangeralddcruz@outlook.com.

Scientific reports

|September 1, 2025

Resumen

Este resumen es generado por máquina.

Un nuevo marco estructurado de toma de decisiones mejora la fiabilidad de la inteligencia artificial (IA) en áreas críticas para la seguridad, como la gestión de desastres. Este enfoque de IA responsable mejora la precisión y la estabilidad de las decisiones en comparación con los sistemas basados en el juicio y los operadores humanos.

Palabras clave:

Responsable de la IA La toma de decisiones estructurada

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Área de la Ciencia:

Inteligencia artificial
Ciencias de la computación
Ética en la IA

Sus antecedentes:

La IA se utiliza cada vez más para la toma de decisiones autónomas en ámbitos críticos para la seguridad.
Las consideraciones éticas son primordiales para la confiabilidad de la IA cuando las vidas humanas están en juego.
La gestión de desastres requiere una toma de decisiones robusta y justificable de IA.

Objetivo del estudio:

Proponer un marco estructurado de toma de decisiones para la IA responsable.
Implementar y evaluar este marco en la gestión autónoma de desastres.
Mejorar la fiabilidad y la justificación de las decisiones de IA en situaciones críticas.

Principales métodos:

Desarrollo de un marco estructurado de toma de decisiones que incorpore agentes habilitadores, niveles y escenarios.
Aplicación del marco en un contexto autónomo de gestión de desastres.
Evaluación comparativa del rendimiento con sistemas basados en el juicio y operadores humanos experimentados.

Principales resultados:

El marco estructurado de toma de decisiones demostró una estabilidad un 60,94% mayor en las decisiones precisas en comparación con los sistemas basados en juicios.
El marco superó a los operadores humanos en un 38,93% en precisión en varios escenarios.
Se observó una toma de decisiones coherente y fiable en múltiples escenarios.

Conclusiones:

El marco estructurado de toma de decisiones propuesto es un paso fundamental hacia una IA responsable.
El marco muestra una promesa significativa para mejorar las aplicaciones autónomas de IA en contextos críticos de seguridad.
Este enfoque ofrece una alternativa más confiable y justificable para la toma de decisiones de IA en la gestión de desastres.