Abstract: The intelligent society is characterized by the high coupling of man and thing, and the cooperative go-vernance of intelligent society is the core governance mode. It forms the subjective transformation from modern man to intelligent body, and comprehensively expands the social form of human existence attributes such as time, space, biology and society. Collaborative governance of intelligent society is the core governance mode of intelligent society. It is an organic integrated governance mode formed by intelligent society agents fully mobilizing all kinds of wisdom, technology and resources to solve the major problems of intelligent society, such as individual members, operation rules, social institutions, governance mode, policy making, ethical norms and so on. Scholars use a combination of model-driven and data-driven methods to model the intelligent society. The collaborative governance technology under intelligent environment is studied from the mainstream theory of collaborative governance, intelligent society topology, collaborative decision optimization and so on. A series of mechanisms and models of cooperative governance in intelligent society are developed. In recent years, the development of the Internet of Things, artificial intelligence and other technologies has further broadened the theoretical scope of collaborative governance of intelligent society, showing broad application prospects, but at the same time, it also poses new challenges to the model and application of collaborative governance of intelligent society. In this paper, the relevant research status and progress at home and abroad are reviewed and compared from three aspects: the history of human development with the core characteristics of social evolution trend, digital society to intelligent social transition stage; the main model and co-llaborative computing method; collaborative computing in intelligent social actors "human-computer interaction". Condense the key scientific and technological problems existing. The characteristics and possible complementarity of each research branch are analyzed, and the potential future research direction of this direction is finally given.