Integrating artificial intelligence in the mining industry: Cross-domain insights into operational, psychological, and environmental challenges

The mining industry, a cornerstone yet often hazardous and inefficient sector, is undergoing a profound transformation through the integration of artificial intelligence (AI). This paper explores the diverse applications and potential impact of AI across the entire lifecycle of mining operations. From optimizing exploration and extraction processes, through predictive analytics and equipment automation, to enhancing worker safety via physiological monitoring and detection of risky behaviors, AI promises to revolutionize how mining activities are conducted. Beyond technological advancements, AI implementation intersects with critical psychological, social, and biological dimensions that influence its success and the wellbeing of miners and mining communities. The study also examines implementation challenges, including integration with existing infrastructure, the need for skilled personnel, and ethical and regulatory considerations. Through case studies and analyses of current trends, the paper highlights how AI can foster a safer, more efficient, sustainable, and socially responsible mining industry.