Oportunidades para el uso de sistemas de IA en organizaciones de servicios sociales: desde la reducción de la rotación de personal hasta la asistencia en la extensión comunitaria
Resumen
El estudio tuvo como objetivo identificar las condiciones previas y las oportunidades para la introducción de algoritmos de redes neuronales para personalizar la motivación no económica de los trabajadores sociales. Se prestó especial atención a los aspectos éticos y legales de la integración de la IA en la labor de los servicios sociales. La investigación siguió un diseño de métodos mixtos con una encuesta a expertos (n=24) y tres grupos focales con trabajadores sociales (n=18 en total). El análisis cuantitativo de los datos se realizó mediante estadística no paramétrica (criterios de Kruskal-Wallis, Spearman y Wilcoxon), y el análisis cualitativo incluyó codificación temática. Los resultados obtenidos confirman el potencial de la IA para aumentar significativamente la satisfacción de los trabajadores de servicios sociales, pero solo bajo ciertas condiciones: protección de la privacidad de datos, participación de los empleados en la implementación de tecnologías y automatización de las tareas administrativas desde el inicio. El cumplimiento de estas condiciones garantiza la ética y la aceptabilidad legal de la integración de la IA, lo que facilita un aumento significativo de la eficiencia y la sostenibilidad de los servicios sociales.
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