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To systematically map and synthesize the use of artificial intelligence in copper mining processes and assess sustainability impacts.

August 9, 2026ProcessesOpen Access

Artificial Intelligence in the Copper Mining Industry: A Systematic Mapping Review and Qualitative Synthesis

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To systematically map and synthesize the use of artificial intelligence in copper mining processes and assess sustainability impacts.
Conducted a systematic mapping review of publications from 2014 to 2025 from IEEE Xplore, Scopus, and Google Scholar.
Classified 71 studies based on four research questions regarding processing operations, AI domains, and sustainability.
Analyzed the distribution of research focusing on various AI methods in the copper mining industry.
Machine learning was the most prevalent AI domain, with a focus on prediction, monitoring, and operational optimisation.
Research was uneven, with significant attention on comminution and froth flotation, while other operations were less studied.
Sustainability assessments primarily highlighted operational and economic outcomes over social and environmental implications.

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Systematic mapping review analyzes AI's role in copper processing and identifies key challenges.

Reyes-Bozo et al. (2026) studied this question.

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