Dozens of Chinese firms have built software that uses artificial intelligence (AI) to sort data collected on residents, amid high demand from authorities seeking to upgrade their surveillance tools, a Reuters review of government documents shows.
BEIJING — Dozens of Chinese firms have built software that uses artificial intelligence to sort data collected on residents, amid high demand from authorities seeking to upgrade their surveillance tools, a Reuters review of government documents shows.
The new software improves on Beijing’s current approach to surveillance. Although China’s existing systems can collect data on individuals, law enforcement and other users have been left to organize it. The tenders examined by Reuters represent a fraction of such efforts by Chinese police units and Party bodies to upgrade surveillance networks by tapping into the power of big data and AI, according to three industry experts interviewed for this story.
Sensetime declined to comment. Megvii, Cloudwalk, Dahua, and the cloud division of Baidu did not respond to requests for comment. The new systems aim to make sense of the giant troves of data such entities collect, using complex algorithms and machine learning to create customized files for individuals, according to the government tenders. The files update themselves automatically as the software sorts data.
In 2016, China’s domestic security chief at the time, Meng Jianzhu, wrote in a state-run journal that big data was the key to finding crime patterns and trends. Two years later, the system was referenced in a speech to industry executives given by Li Ziqing, then-director of the Research Center for Biometrics and Security Technology of the state-run Chinese Academy of Sciences. Li also was chief scientist at AuthenMetric, a Beijing-based facial recognition company.
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