Abstract: The new-generation artificial intelligence（AI） technology, represented by advanced machine learning such as deep learning, reinforcement learning and migration learning, has stronger advantages in processing massive data, mining complex nonlinear mapping, etc., which makes its application in power system stability assessment and decision increasingly favored. First,the basic framework of power system stability assessment and decision based on artificial intelligence technology is summarized.Secondly, for the stability evaluation and stability decision, the relevant research work and key technologies of domestic and foreign scholars are reviewed respectively from the four power system stability problems of power angle, frequency, voltage and broadband oscillation and the three control types of preventive control, emergency control and recovery control. Finally, according to the application status of the new-generation AI technology in power system stability assessment and decision, possible countermeasures and prospects are proposed for some existing problems from three aspects of data, model and application.