International Science Community Association Research Journal of Engineering Sciences 15 2 2026 05 26 Foresight Technologies and their Role in Occupational safety 11 15 EN Alimova Zebo 1 Candidate of Technical Sciences, Professor, Department of Transport Energy Devices, Tashkent State Transport University, Tashkent, Uzbekistan Qurbonov Akrom 2 Tashkent State Transport University, Tashkent, Uzbekistan P.O. Isi 1 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria Ofuaro 2 Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria S. 3 Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria Chinedu 4 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria B.C. 5 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria Ikenga 6 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria O.A. 7 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria Muomeliri 8 Department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria C.B. 9 Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria (TET Fund Centre of Excellence in Biomedicine, Engineering and Agricultural Translation Studies) Orizu 10 Department of Physics, University of Abuja, Nigeria G.E. 11 Ndukwe 12 F.O 13 Alor 14 K.P. 15 Aribodor 16 D.N. 17 Isah 18 J. 19 Sirojiddin Muradov 1 Department of Occupational Safety and Health, Karshi State Technical University, Karshi, Uzbekistan, > Research Article 2026 4 15 2026 05 26 This article provides a scientific analysis of the essence of foresight technologies, their role in modern management systems, and their practical significance in the field of occupational safety. The foresight approach is based on forecasting future social, economic, and technological changes, enabling the early identification of potential risks and hazards in production systems. The study substantiates the necessity of transitioning from a traditional reactive approach to a proactive approach in occupational safety systems. Furthermore, the integration of artificial intelligence, Big Data, IoT sensors, and Digital Twin technologies within foresight processes is analyzed. These technologies play a crucial role in real-time monitoring of production processes, forecasting hazardous situations, and reducing workplace accidents. The study employs system analysis, comparative analysis, and risk modeling methods. The results indicate that foresight technologies are an effective tool for improving occupational safety, reducing economic losses, and minimizing human-factor-related errors. At the same time, their practical implementation requires advanced technological infrastructure and qualified specialists. Copyright@ International Science Community Association