Application of Artificial Intelligence and Big Data in the Sustainable Development of Mineral Resources: Economic Decision-Making and Environmental Management

Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i3.4036

Louis Chen

Portola High School, Irvine, State of California, USA

Abstract

Mineral resources are non-renewable and serve as a crucial energy guarantee supporting the development of human economy and society. Promoting the sustainable development and utilization of mineral resources through scientific and effective economic decision-making while also considering ecological and environmental protection has become a global consensus. In recent years, the rapid development of artificial intelligence (AI) and big data technologies has driven the deep transformation of various industries and provided more efficient management tools for economic decision-making and environmental management in the sustainable development of mineral resources. This paper briefly elaborates on the background and significance of the study, clarifies the important roles played by AI and big data technologies in the sustainable development of mineral resources, and discusses their specific application scenarios and implementation strategies with economic decision-making and environmental management as examples. The aim is to further promote the transformation and upgrading of the mining industry, improve production efficiency, and achieve green, low-carbon, and sustainable development.

Keywords

Sustainable development of mineral resources; artificial intelligence and big data; economic decision-making; environmental management

References

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Copyright © 2025 Louis Chen

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