Artificial Intelligence in Mining and Digital Mapping

The paper is devoted to the application of artificial intelligence (AI) in the mining industry, geology and environmental safety. Artificial intelligence offers revolutionary approaches to overcoming these challenges. This article systematizes modern areas of AI application at various stages of geological exploration (GE) - from forecasting and prospecting to assessment and exploration of solid mineral deposits (SMD). Key technologies, successful implementation cases, advantages, limitations and prospects for the development of AI in the mineral resources complex are considered. The Digital Caspian information platform is described, combining the power of artificial intelli-gence, geographic information systems and digital twins. Its goal is to revolutionize approaches to subsoil use, ensure environmental safety and optimize strategic planning of geological exploration. The introduction of artificial intelligence into the basis of the "Digital Caspian" allows us to form an intelligent geological exploration system - a complex of software and hardware that can transform the management of geological exploration processes, bringing them to a qualitatively new level of efficiency and ac-curacy. For this purpose, it is proposed to use digital engineering, the essence of which is the creation of a virtual prototype of a real object - a mineral deposit and the geological exploration process in general. The core of the platform is a series of interactive geo-logical and environmental digital maps that allow us to accurately predict changes and make balanced, scientifically sound decisions in key areas of subsoil use, environmental safety and plan geological exploration work.