Application of Artificial Intelligence in Nuclear Engineering This paper explores the application of artificial intelligence (AI) in the nuclear industry, with a particular focus on optimizing various phases of the nuclear reactor lifecycle, including design, operation, maintenance, and fuel replacement. AI technologies, such as machine learning, are utilized for data analysis, reactor monitoring, maintenance prediction, and fuel consumption optimization. The use of AI enables more precise monitoring and enhances the efficiency of nuclear power plants while reducing costs and increasing safety. The paper also addresses existing challenges, such as issues with data collection and quality, and the black box dilemma related to the non-transparency of AI model decisions. It emphasizes the need for the development of standardized datasets and explainable artificial intelligence methodologies to increase the reliability and transparency of AI systems in the nuclear industry. The aim of the paper is to provide a comprehensive overview of the current state and future research directions of AI in the nuclear industry, highlighting how AI can improve the efficiency, safety, and economic viability of nuclear reactors. The paper also examines the potential benefits and challenges in implementing AI technologies and proposes solutions to overcome existing obstacles.