Convergencia sostenible: inteligencia artificial y economía circular
DOI:
https://doi.org/10.17268/sciendo.2024.091Palabras clave:
Inteligencia artificial, Economía circular, Sostenibilidad, RecursosResumen
El artículo aborda la convergencia entre la inteligencia artificial (IA) y la economía circular (EC). La EC se plantea como un modelo sostenible que busca reducir, reutilizar y reciclar recursos, mientras que la IA se presenta como una herramienta clave para potenciar este modelo. Se hizo una revisión sistemática con un enfoque cualitativo aplicando el método PRISMA, empezando con la búsqueda de artículos científicos en bases de datos como Scopus, Springer, Base, Latindex, Zendy, Dialnet y Scielo, seleccionando 67 artículos científicos analizados a través de una matriz de registro. Los resultados revelan que la IA desempeña un papel crucial en varios aspectos de la EC. En la cadena de suministro, facilita la eficiencia y adaptabilidad; en el diseño y desarrollo de productos, optimiza procesos y colabora en la transición a modelos circulares; en la toma de decisiones, proporciona soluciones precisas y respaldadas por datos; en la gestión de residuos y logística inversa, contribuye a cerrar el ciclo de vida de productos de manera rentable y sostenible. En conclusión, la integración estratégica de la IA en la EC emerge como una poderosa sinergia para abordar desafíos ambientales y promover prácticas más sostenibles.
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Derechos de autor 2024 Roberto Quispe, Kathia Reyes, Jimmy Cáceda, Jeyson Vásquez, Daniel Rodríguez, Juan Chavez
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