Driven by new theories and technologies such as mobile Internet, big data, supercomputing, sensor networks, brain science, AI is having a significant and far-reaching impact on economic and social development, national governance, etc. We should seize this historical opportunity and promote the deep application of artificial intelligence in social governance. Empowering social governance decision-making optimization. Massive urban operation data, social livelihood data, public safety data, online public opinion data, etc. constitute the "digital mineral deposit" of social governance. By building a unified and efficient social governance data resource platform, gathering and integrating diversified heterogeneous data from various government departments, industries and Internet platforms, and using artificial intelligence algorithms to conduct in-depth mining and association analysis, we can reveal the laws and trends of complex social phenomena hidden behind the data. On this basis, AI driven policy simulation and scenario deduction techniques simulate the implementation effects of different policy options under different conditions by constructing highly realistic social system models. Decision makers can compare the advantages and disadvantages of different solutions in a virtual environment, identify potential risk points, and reduce the blindness and uncertainty of policy implementation. Empower the improvement of public service quality. One is to improve the convenience of services. In the past, public service processes had problems such as complex procedures, cumbersome materials, and long processing times. Artificial intelligence technologies such as natural language processing, optical character recognition, and process automation robots are driving the realization of "one-stop" and "intelligent approval" for government services. The second is to achieve personalized service. Artificial intelligence can provide tailored service content and interaction methods for different groups of people through precise analysis of user profiles and deep understanding of learning behavior. The third is to expand service accessibility. Factors such as geographical location, physical condition, and information literacy often affect some populations' access to high-quality public services. Artificial intelligence technology is committed to breaking down these barriers and making public services accessible to a wider range of people. Empowering social security. In terms of risk perception, artificial intelligence can achieve early detection and situational analysis of various social risks through real-time monitoring, intelligent analysis, and pattern recognition of massive information, promoting the transformation of risk management from "passive response" to "active prevention". In terms of risk response, artificial intelligence technologies such as facial recognition, behavior analysis, predictive policing, etc. are profoundly transforming the security model. In terms of risk management, artificial intelligence can play a key role in the entire process of monitoring and early warning, command and dispatch, rescue and rescue, and post disaster recovery of emergencies. The deep empowerment of artificial intelligence can minimize the losses caused by emergencies, quickly restore social order, and significantly enhance the overall risk resistance and system resilience of society. Empowering innovation in grassroots governance. Artificial intelligence can help promote the sinking of governance resources and the forward movement of services, forming a new pattern of grassroots governance of co construction, co governance, and sharing. For example, the construction of "smart communities" utilizes devices such as the Internet of Things, artificial intelligence cameras, and smart sensors to perceive the real-time status of people, things, and events within the community, achieving intelligent management of community safety, environmental sanitation, and facility operation and maintenance. By establishing a community data center and integrating various information resources within the community, it is possible to accurately identify the needs of community residents and optimize resource allocation. For example, artificial intelligence technology is driving the upgrading of grassroots grid management towards intelligence and refinement, and providing new possibilities for building a grassroots governance pattern with diverse participation from government, society, and residents. While seeing artificial intelligence empowering social governance from various dimensions, we must also attach great importance to the risks and challenges that technological applications may bring, and establish a sound dual guarantee mechanism for technology and institutions. For example, guarding against algorithmic bias and discrimination risks, and maintaining social equity; Establish an algorithm audit system and regularly check the fairness of the system's decision-making; Establish channels for appealing and correcting algorithmic biases, ensuring that citizens' equal rights are not infringed upon by technological factors; Prevent data abuse and privacy leakage risks, and safeguard the legitimate rights and interests of citizens; Accelerate the improvement of the legal and regulatory system for data security and personal information protection, clarify the responsibilities of data controllers and processors, and standardize the scope and methods of data collection; Enhance citizens' data literacy and awareness of rights protection; wait. (New Society)