Chinese police AI algorithm tracks bitcoin money laundering with 90% accuracy

Researchers from China's national police academy have developed an AI framework capable of detecting illicit cryptocurrency transactions with approximately 90% accuracy. This development addresses the growing challenge of money laundering and other illegal activities facilitated by the pseudonymous and cross-border nature of cryptocurrency. The study, published in the peer-reviewed Chinese publication Journal of Intelligence, presents the AI framework as a precise, generalizable, and interpretable solution for identifying such transactions. Dr. Sun Jingchao is cited as the corresponding author of the study.