Amazon-Powered AI Cameras Used To Detect Emotions of Unwitting UK Train Passengers

Thousands of people catching trains in the United Kingdom likely had their faces scanned by Amazon software as part of widespread artificial intelligence trials, new documents reveal. Wired: The image recognition system was used to predict travelers' age, gender, and potential emotions -- with the suggestion that the data could be used in advertising systems in the future. During the past two years, eight train stations around the UK -- including large stations such as London's Euston and Waterloo, Manchester Piccadilly, and other smaller stations -- have tested AI surveillance technology with CCTV cameras with the aim of alerting staff to safety incidents and potentially reducing certain types of crime. The extensive trials, overseen by rail infrastructure body Network Rail, have used object recognition -- a type of machine learning that can identify items in videofeeds -- to detect people trespassing on tracks, monitor and predict platform overcrowding, identify antisocial behavior ("running, shouting, skateboarding, smoking"), and spot potential bike thieves. Separate trials have used wireless sensors to detect slippery floors, full bins, and drains that may overflow. The scope of the AI trials, elements of which have previously been reported, was revealed in a cache of documents obtained in response to a freedom of information request by civil liberties group Big Brother Watch. "The rollout and normalization of AI surveillance in these public spaces, without much consultation and conversation, is quite a concerning step," says Jake Hurfurt, the head of research and investigations at the group.

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