How Chinese police infiltrated and monitored the dark web with the help of AI tools
Chinese police researchers have developed an AI-driven system to infiltrate and monitor dark web forums by automating login, data collection, and content classification. The tool uses active learning to translate and categorize Chinese-language content, which has historically been under-researched compared to English material.
Why it matters
This highlights the growing capability of state actors to use advanced AI for surveillance and policing in previously anonymous digital spaces.
Chinese police scientists have offered a rare insight into how they were able to break into the dark web using artificial intelligence to decode underground content.
The dark web – a realm unfamiliar to most – is built on encrypted communications and anonymous routing technologies that render user activity nearly untraceable, making it a haven for illegal activity and data trafficking.
In recent years, researchers both in China and abroad have made progress in analysing dark web content, but most of those efforts have concentrated on English-language material and little research has been published about content in Chinese.
But in May, a research team from the Criminal Investigation Police University of China published a paper in the Journal of Chinese Computer Systems about a model specifically trained to translate and assess dark web content in Chinese.
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