Analysis of Innovative Paths for AI-Assisted Policing in Foreign-related Police Work in the Capital

With the acceleration of Beijing’s internationalization process, the demand for foreign-related police work has surged, and traditional policing models are facing numerous challenges such as language barriers, cultural differences, and insufficient police force. The introduction of artificial intelligence (AI) technology offers new solutions to these problems. This paper focuses on the innovative application of AI technology in foreign-related police work in the capital, explores the necessity and feasibility of AI-assisted policing, and analyzes its potential in enhancing the efficiency of handling foreign-related cases and optimizing the precision of police services. By constructing a theoretical framework of intelligent collaborative governance, data-driven prevention, and cross-cultural intelligent interaction, this paper designs innovative application scenarios such as regional differentiated training and case-type targeted guidance, and proposes technical integration paths, ethical and legal challenges, and international cooperation mechanisms in the implementation process of AI-assisted policing. The research indicates that the in-depth application of AI technology is expected to facilitate the transformation of foreign-related police work in the capital from “empiricism” to “data-driven”, enhance the modernization level of policing, and provide valuable experience for the intelligent transformation of policing nationwide.