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Inteligencia artificial y desarrollo sostenible. Visión general y experiencias concretas: Gestión del tráfico, agricultura sostenible con IA y gestión de recursos naturales

Authors: Ramírez Julca, Máximo; Hijar Hernández, Víctor Daniel; Solís Céspedes, Pedro Aníbal; Bringas Salvador, Jorge Luis;

Inteligencia artificial y desarrollo sostenible. Visión general y experiencias concretas: Gestión del tráfico, agricultura sostenible con IA y gestión de recursos naturales

Abstract

La llamada agenda 2030 formulada por la Asamblea General de Naciones Unidas significa: “Un plan de acción en favor de las personas, el planeta y la prosperidad” que fija el rumbo de los objetivos del desarrollo sostenible ODS que todas las naciones del mundo deben procurar para alcanzar la paz y la estabilidad integral, más allá de sus particularidades culturales y socioeconómicas. En este contexto, el objetivo de la investigación fue explorar las diversas formas en que la Inteligencia Artificial IA puede contribuir a lograr los ODS y allanar el camino hacia un mundo más próspero y consciente del medio ambiente. Metodológicamente la investigación se sirvió del enfoque hermenéutico que sitúa los textos en su contexto como condición de posibilidad para comprender su verdadera significación y de la técnica de investigación documental; además, se hizo una entrevista abierta a un connotado humanista para conocer su opinión sobre estos temas de interés mundial. Se concluyen que, a través de su aplicación, la IA puede contribuir significativamente a abordar los objetivos ambientales, promover los derechos humanos y avanzar en los Objetivos de Desarrollo Sostenible. Además, la IA tiene el poder de mejorar los sistemas educativos, asegurando una educación de calidad para todos

Keywords

C, Anthropology, Auxiliary sciences of history, GN1-890

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold