Inteligencia artificial, sostenibilidad e impacto ambiental. Un estudio narrativo y bibliométrico

Fabiano Domenico Camastra; Rubén González Vallejo

doi:10.58763/rc2025355

Authors

Fabiano Domenico Camastra Universidad de Zaragoza. Zaragoza, España https://orcid.org/0009-0001-0053-7233
Rubén González Vallejo Universidad de Málaga. Málaga, España https://orcid.org/0000-0002-9697-6942

DOI:

https://doi.org/10.58763/rc2025355

Keywords:

bibliometrics, climate change, indexing languages, sustainable development

Abstract

Studies on artificial intelligence (AI) have increased significantly over the past decade to the point that they have recently become essential to diverse fields. Regarding studies on sustainability, environmental care, and the application of technological advances, AI-based models have also gained particular significance. Accordingly, this study explored the relationship between AI, sustainability, and environmental impact through a mixed documentary review, which combined a narrative review and a bibliometric analysis. The narrative review examined the main ideas and stages that permeate the intersection of AI and sustainability, identifying their contributions and challenges. The bibliometric analysis provided a quantitative overview of scientific production, highlighting trends in terms of production, countries, and most influential keywords. The results reveal that AI has a crucial role in promoting sustainable practices, but it also poses risks that require careful consideration. Hence, the costs of AI must also be analyzed. The study underlined the need for a balanced approach that maximizes the benefits of AI while minimizing its negative impacts on the environment.

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References

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