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"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."

"But researchers at New York University's AI Now Institute have issued a strong warning against not only ubiquitous facial recognition, but its more sinister cousin: so-called affect recognition, technology that claims it can find hidden meaning in the shape of your nose, the contours of your mouth, and the way you smile. If that sounds like something dredged up from the 19th century, that's because it sort of is."

"People in Soho, Piccadilly Circus, and Leicester Square are being told by the London Metropolitan Police to submit to a trial of the force's notoriously inaccurate, racially biased facial recognition system, which clocks in an impressive error-rate of 98% (the system has been decried by Professor Paul Wiles, the British biometrics commissioner, as an unregulated mess)."

"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."

"The facial recognition system is currently being rolled out across six of Prof Shen's classes. "The new system saves time and reduces the workload of students," Prof Shen told the Beijing News. "Out of one hundred students, it usually only fails to recognise one student." But obviously, not everyone is a fan."

Ahhh ITGS group - a great discussion on the evoting problem would have been perfect for your Paper 2. "Remember: all of these principles of security, anonymity and verifiability have to be achieved in an understandable way. If they can't be then you get the opportunity for losers to claim fraud, and their supporters to believe them."

"Activists from Fight for the Future prowled the halls of Congress in "jumpsuits with phone strapped to their heads conducting live facial recognition surveillance" to "show why this tech should be banned.""

"North America, Central America, and Caribbean In the U.S., a 2016 study showed that already half of American adults were captured in some kind of facial recognition network. More recently, the Department of Homeland Security unveiled its "Biometric Exit" plan, which aims to use facial recognition technology on nearly all air travel passengers by 2023, to identify compliance with visa status."