Inteligencia artificial, sostenibilidad e impacto ambiental. Un estudio narrativo y bibliométrico
DOI:
https://doi.org/10.58763/rc2025355Palabras clave:
bibliometría, cambio climático, desarrollo sostenible, lenguaje de indexaciónResumen
Los estudios sobre inteligencia artificial (IA) han aumentado de manera ostensible en la última década, al punto de que recientemente forman una parte importante de campos disímiles. En lo concerniente a los estudios sobre sostenibilidad, cuidado medioambiental y aplicación de avances tecnológicos, los modelos basados en IA también han cobrado particular significación. En consecuencia, este estudio exploró la relación entre la IA, la sostenibilidad y el impacto ambiental mediante una revisión documental mixta, que combinó una revisión narrativa y un análisis bibliométrico. A través de la revisión narrativa, se examinaron las principales ideas y etapas que permean la intersección de la IA y la sostenibilidad, identificando tanto sus contribuciones como sus desafíos. El análisis bibliométrico proporcionó un panorama cuantitativo de la producción científica, destacando las tendencias en cuanto a producción, países y palabras clave más influyentes. Los resultados revelan que la IA tiene un papel crucial en la promoción de prácticas sostenibles, pero también plantea riesgos que requieren una consideración cuidadosa, de ahí que sus también deban analizarse. El estudio subrayó la necesidad de un enfoque equilibrado que maximice los beneficios de la IA mientras se minimizan sus impactos negativos en el medio ambiente.
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Derechos de autor 2025 Fabiano Domenico Camastra, Rubén González Vallejo
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