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

Researchers from China’s national police academy have developed an AI framework that can detect illicit cryptocurrency transactions with nearly 90 per cent overall accuracy, according to a recent study. Cryptocurrency transactions are growing rapidly, but their pseudonymous and cross-border nature can provide channels for money laundering and other illegal activities. In an article published in the peer-reviewed Chinese publication Journal of Intelligence, corresponding author Dr Sun Jingchao...

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2 Comments

Warl0k3@lemmy.world · 2 pts · 24d

... detect illicit bitcoin transactions.

This uh. Reaaaaally sounds like copaganda.

chicken@lemmy.dbzer0.com · 2 pts · 24d

The dynamic graph neural network treats the cryptocurrency ecosystem as a constantly changing network, analysing transaction structures, money flows and their evolution over time.

...

The LLM then turns these complex signals into a natural-language risk assessment, producing not only a legal-or-illicit classification but also a risk score, key evidence and a reasoning chain.

So random people and whoever the police want are going to get accused of bitcoin money laundering based on LLM say-so, got it