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""If they are not happy, and not eating well, in some cases you can predict whether the pig is sick," said Jackson He, chief executive officer of Yingzi Technology, a small firm based in the southern city of Guangzhou that has introduced its vision of a "future pig farm" with facial and voice recognition technologies. China's biggest tech firms want to pamper pigs, too. Alibaba, the e-commerce giant, and JD.com, its rival, are using cameras to track pigs' faces. Alibaba also uses voice-recognition software to monitor their coughs."

"Every day, nearly 5 million people use São Paulo's metro system. Every one of their faces may have been recorded in a facial recognition system that has been in use since early 2020. In a March 23 decision, a São Paulo State court ordered the Metro company to stop using the technology. The Metro appealed the decision, claiming its monitoring system "rigorously obeys the General Law on Data Protection," but the argument was rejected by the same court in mid-April."

"Affectiva is running a program that pays drivers to help train its emotion-recognition system. The company sends drivers a kit including cameras and other sensors to place within their vehicles. These record a person's facial expressions, gestures, and tone of voice on the road. That data is then labeled by trained specialists for a range of emotions, and fed into deep neural networks."

"Google said it "categorically" does not use what it calls "utterances" - the background sounds before a person says, "OK Google" to activate the voice recognition - for advertising or any other purpose. It also said it does not share audio acquired in that way with third parties."

"Explained by "Anna", a desk-sitting avatar complete with an artificial voice, the video introduces TP Observer as "a risk-mitigation tool that monitors and tracks real time employee behaviour, and detects any violations to pre-set business rules". Anna explains that this means home workers will have an AI-enabled webcam added to their computers that recognises their face, tags their location and scans for "breaches" of rules at random points during a shift."