Abstract: With the development of new industrialization advancing steadily, Artificial Intelligence (AI) technology in the different stages of emergency management and the application of different disaster scenarios is increasing, compared with the past, the risk of presenting new features and dynamics. However, the current application of AI—enabled emergency management and various types of risks still lack systematic sorting. In order to improve the efficiency and effect of AI technology—enabled emergency management, it is urgent to clarify the current specific applications of AI in emergency management and its risk categories. Therefore, a literature review of the applications and potential risks of AI technology in emergency management is conducted by combining relevant literature and specific cases. The review finds that AI technology is widely used in four periods: risk management, emergency preparedness, emergency response, and emergency recovery, covering 16 categories of specific applications such as risk early warning, simulation and prediction, psychological counseling, etc., which are applicable to a variety of scenarios such as floods and earthquakes. At the same time, based on the three dimensions of “human—AI—human—AI interaction”, it integrates nine types of risk challenges faced by AI technology applied to emergency management, such as personal privacy and data security, data bias and algorithmic discrimination, and the degree of robustness of interaction, etc. It also integrates nine types of risk challenges faced by AI technology applied to emergency management, such as the systems and algorithms, values and ethics, public acceptability, organization and organization. Ethics, Public Acceptability, and Organizational Acceptability to classify the systematic risks of AI—enabled emergency management.