Online Fraud Crimes Based on Artificial Intelligence

In her lecture, Li Danyang, scholar of the People’s Public Security University of China, will argue that Telecom and online fraud crimes involve the use of telecommunications networks or the internet, leveraging information and communication technologies to deceive victims through false information, misleading statements, or illicit methods. In recent years, these crimes have grown increasingly sophisticated, characterized by advanced technological methods, strong concealment, and cross-border operations, rendering traditional prevention and law enforcement strategies inadequate. The advent of artificial intelligence (AI) presents new opportunities to combat such crimes by enabling real-time monitoring and precise prevention through techniques like big data analysis, machine learning, and behavioral analytics. Generative AI (AIGC), with its powerful reasoning and emergent capabilities, enhances the ability to rapidly detect anomalies and potential threats in large datasets. It facilitates automated extraction of fraud-related data, victim profiling, fraud process analysis, and the intelligent generation of prevention strategies. However, while AIGC holds great potential in fraud prevention, its specific applications and implementation pathways remain underexplored, necessitating further research into effective mechanisms and strategies for the governance of telecom and online fraud.