Advances in Science and Technology Vol. 172

Abstract: The study presents the development of an artificial intelligence (AI) software system for decision-making in occupational safety and health (OSH) management at mining enterprises. The system is structured into four interconnected modules - data acquisition, memory (knowledge storage), computation, and output/visualization - corresponding to the classical Input-Memory-Process-Output model of computer systems. The developed software enables the processing of large data sets, risk assessment, and generation of recommendations for improving OSH management. The scientific novelty lies in creating a specialized AI tool that integrates data processing, risk and opportunity evaluation, ethical and legal boundary definition, as well as forecasting and modeling of performance indicators. The practical value of the study is the implementation of an AI-based system that enhances occupational risk management, supports informed decision-making, and contributes to improving occupational safety and health standards in mining enterprises.