Under the new wave of global artificial intelligence, the nuclear energy industry has gradually started the process of integrating with the development of artificial intelligence. This paper discusses some problems arising from the combined application of artificial intelligence and nuclear energy. First of all, it clarifies the application advantages of artificial intelligence in the field of nuclear energy. Artificial intelligence technology can enhance the economical efficiency and functionality of nuclear energy by reducing the operating costs, improving the power generation efficiency and optimizing the control strategies. Secondly, it holds the key to the integration of artificial intelligence and nuclear energy, that is, applying key supporting techniques such as big data, cloud computing, and the Internet of Things, and realizing the best fitting of artificial intelligence technology to nuclear engineering problems according to the application scenarios and boundaries in the nuclear energy field. Then, it determines the personnel-led issues in the process of nuclear energy intelligentialization, where the nuclear industry personnel will lead the realization of the effective fitting and integration of artificial intelligence and nuclear engineering problems, thereby promoting the development of nuclear energy intelligence. Finally, it realizes people's recognition and acceptance of nuclear energy intelligence and discusses how to build an intelligent and trusted security system for nuclear energy from the perspectives of data, algorithms, standardization, security, and public acceptance so that nuclear industry personnel and the public accept nuclear energy intelligence. Through the elaboration of several issues in the process of nuclear energy intelligentialization, it is expected to arouse the common thinking of nuclear industry personnel and the public, promote the cross-disciplinary deep integration of artificial intelligence and nuclear energy science and technology and then realize the in-depth empowerment of artificial intelligence to the nuclear energy industry. © 2023 Yuan Zi Neng Chuban She. All rights reserved.
