These systems could also test a person’s loyalty to the CCP.

Researchers claim the Comprehensive National Science Center in Hefei, China, has developed brainwave-reading artificial intelligence systems to detect whether or not an individual supports the CCP, China’s Communist Party. In addition, the system purportedly registers a person’s allegiance to the CCP by measuring their brainwaves, facial expressions, and reactions to ‘political and thought education.’ The system ‘measures loyalty’ or can read minds in some manner. People took a stand in opposition to the post and it was subsequently taken down.

China’s terrible record of spying on its citizens, including those living in Hong Kong and Taiwan, is notorious. The Chinese Social Credit System rates citizens based on their loyalty to the country. It determines whether they should be granted loans, as well as whether they can purchase train or airplane tickets. It also determines whether they can purchase train or airplane tickets. China has also been condemned for employing facial recognition and AI methods to monitor and control Uighurs, an ethnic minority group that the Chinese Communist Party has detained in ‘reeducation’ centres.

In a Business Insider report, the US Department of Commerce imposed sanctions on Chinese institutes developing brain-control weaponry last year. Despite the fact that most tech firms around the world are enthusiastic about the opportunities that AI and ML technologies offer, some of these technologies may be dangerous and have ulterior motives behind them.

From reading facial emotions to read minds?

BBC reported last year that Chinese authorities were using an elaborate, AI-based system to detect Uighur emotions in Xinjiang’s prisons by using facial recognition. Five photos of Uighur detainees purportedly subjected to such detection were shown to BBC Panorama by an engineer. The photos indicated that the AI system was trained to recognise and analyse facial expressions, even pores in the skin. It could create a pie chart that indicated a subject’s negative or anxious state of mind, and such a segment would be red.

Related Story: China Testing AI-Powered Emotion Detection on Uighurs (BBC)