Abstract:In the social context of digitalization and aging, it is of great practical significance to explore the influence mechanism of digital intelligence technology on the social participation of urban and rural elderly people, in order to help them share the “digital dividend”. Based on the 2020 China Health and Elderly Care Tracking Survey data, this paper empirically examines the impact of digital intelligence on the social participation of urban and rural older adults using benchmark regression, mediation effect, PSM and other methods. It is found that the use of digital intelligence technology increases the probability of social participation occurrence by 2.19%; through heterogeneity analysis, it is found that the probability of social participation of urban residents, high-income groups and older people over 60 years old is higher than that of rural residents, low-income groups, and middle-aged and older people under 60 years old, and there is a bottleneck in the participation of digitally disadvantaged groups in social activities; through the analysis of the mechanism, it is found that the social support and health status play a significant role in the process of social participation by digital intelligence Through the mechanism analysis, it is found that social support and health status play a mediating role in the process of Numerical Intelligence technology influencing social participation, in which the indirect effect of social support is 0.003, and the mediating effect coefficient of health status is 0.004, which are both in the same direction with the total effect, which indicates that Numerical Intelligence technology can directly influence the social participation of the urban and rural elderly as well as have an impact by improving the health status of the elderly and increasing the social support. Therefore, it is necessary to strengthen training in the use of digital intelligence technology for the elderly, improve the health of the elderly, and increase social support, so as to promote greater social participation of urban and rural elderly.