Application of intelligent interrogation technology in cross-border telecommunication fraud cases: theoretical foundations, system construction, and practical pathways

Against the backdrop of efforts to significantly enhance the modern combat capabilities of public security, this paper focuses on the interrogation challenges in cross-border telecommunication network fraud cases and explores the application of Artificial Intelligence (AI) technology to improve interrogation efficiency and quality. It proposes the construction of an intelligent interrogation system by identifying the criminal characteristics of cross-border telecommunication fraud and analyzing the current technical and practical difficulties faced in interrogations. Focusing on AI-assisted interrogation in telecommunication fraud investigations, the study develops algorithms and models to build an intelligent interrogation system for cross-border fraud cases. The results indicate that AI-based interrogation systems can enhance the efficiency of information extraction, optimize investigative strategies, and provide technological support for the rapid resolution of cross-border telecommunication fraud cases.