AIMday
AI in Mining

2 October 2025

Örebro, Sweden

Örebro University

Challenges

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    • Challenge number 8210

      Exploration - How can AI and digital technologies improve the integration and interpretation of complex exploration data to increase discovery success while reducing costs and environmental impact – and what evidence is needed to prove the benefits to industry?

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    • Challenge number 8213

      Deep Mining - How can AI, automation, and robotics support safer, more efficient, and sustainable deep mining operations as mines extend to greater depths – and what forms of collaboration between mining companies, technology providers, and universities are most effective in achieving this?

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    • Challenge number 8216

      Environment & Circularity - In what ways can AI and advanced digital tools enable more efficient waste management, metal recovery, and circular use of resources in the mining and metals value chain – and are there examples already showing what works (or does not)?

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    • Challenge number 8219

      Cybersecurity - How can the mining and metals industry ensure robust cybersecurity and data integrity while adopting AI-driven automation and interconnected digital systems – and how wide a range of optimization across the value chain can such systems realistically tackle?

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