Application of the theory of innovative problem solving in the environment of artificial intelligence

Artificial intelligence (AI) is transforming traditional approaches to problem solving, especially in the context of innovation. This paper investigates how innovation problem solving theory can be adapted and enhanced with AI capabilities. The integration of the theory of solving innovative problems and AI opens up new opportunities for increasing efficiency and innovativeness. However, it is important to understand that AI does not replace human intelligence, but complements it by providing new decision-making tools. The combination of the theory of solving innovative problems and artificial intelligence opens up new opportunities for increasing efficiency and creativity in the process of developing innovative solutions. TRIZ provides a systematic approach to problem solving, while AI provides powerful tools for data analysis and idea generation. The research methodology is as follows: analysis of the principles of TRVZ in the environment of AI, selection of the Pareto area of applications, construction of a matrix of contradictions of principles, evaluation of the impact of the principles on the management of the process of sustainable development, formation of chain models for the creation of innovative projects, construction of a system of criteria for the selection of a chain and the creation of innovative projects. Applying this approach can lead to the creation of more innovative and effective products and services that meet the needs of today's society.