An analysis of publications on the use of AI in industry shows that one of its most important applications is in improving decision-making processes. However, it is worth noting that AI tools can act here in a dual role: (a) as a tool that supports human decision-making (helping humans) or (b) as a system that makes decisions on its own (replacing humans). Risk assessment and management are two analytical areas in which there is growing interest in the application of AI. Currently, most of the literature in this area is concerned with implementing AI tools and machine counting in risk management processes in the financial sector and risk estimation in disaster risk management. In contrast, the number of publications describing the current possibilities of applying AI in operational risk management in the road transport sector is limited. Therefore, the purpose of the publication is to explore the areas of research on the application of artificial intelligence in transport systems, particularly in road transport, and on this basis, to identify areas of application of AI tools in the road transport risk management process at strategic and operational levels. The results presented show the potential for implementing AI in risk analysis and proceedings aimed at minimising risks at both the system (engineering) and operational (process) levels.