There have been a lot of newspaper stories about face recognition recently. It’s an important
“Facial recognition technology used by London’s Metropolitan Police incorrectly identified members of the public in 96 per cent of matches made between 2016 and 2018.”
From “Met police’s facial recognition technology ‘96% inaccurate’ – inews.co.uk”.
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Brussels and Silicon Valley rarely see eye-to-eye when it comes to technology regulation. But on facial recognition, EU regulators and Sundar Pichai, chief executive of Google parent Alphabet, appear to be moving in the same direction. Mr Pichai this week backed a temporary moratorium on the technology — an option under consideration by EU regulators as part of a broader strategy on artificial intelligence.
From Facial recognition’s risks demand a temporary halt | Financial Times:
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His tiny company, Clearview AI, devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person, along with links to where those photos appeared. The system — whose backbone is a database of more than three billion images that Clearview claims to have scraped from Facebook, YouTube, Venmo and millions of other websites — goes far beyond anything ever constructed by the United States government or Silicon Valley giants.
Federal and state law enforcement officers said that while they had only limited knowledge of how Clearview works and who is behind it, they had used its app to help solve shoplifting, identity theft, credit card fraud, murder and child sexual exploitation cases.
From The Secretive Company That Might End Privacy as We Know It – The New York Times:
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A young woman in eastern China found her life turned upside down when plastic surgery altered her appearance so drastically she was banned from online payment gateways and unable to sign in to work. The woman, who was identified only by the pseudonym Huan Huan, told her local television station on the weekend that her troubles had begun a month before when she had cosmetic surgery on her nose. The change in her appearance was too much for China’s widely used facial recognition software, which was no longer able to identify Huan Huan, 21, from Wenzhou in Zhejiang province.
Facial recognition technology in China beaten by a nose job | South China Morning Post:
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“housands of taxi drivers in the Chinese city of Xi’an are now being verified by facial recognition technology when they get behind the wheel. And, true to the country’s security ethos, they’re also being monitored constantly by an AI system to ensure they aren’t engaging in prohibited activities such as smoking or using a smartphone while driving.”
From “Facial Recognition Verifies Taxi Drivers in China – Mobile ID World”.
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By the way, one area that doesn’t get anything like as much attention as it should is the issue of face recognition but for animals. This, as the Wall St. Journal noted recently, face recognitionactually pretty difficult. As they put it, “It’s not like you can tell a donkey to stand still“. Quite. Nevertheless it can be done. I was privileged to have Dr. Jion Guong Shen from JD Digits, a subsidiary of JD (China’s largest e-commerce business) on my panel about AI ethics and governance at the Innovate Finance Global Summit (IFGS) 2019. This was a great panel, by the way, largely because the well-informed panellists took the discussion in interesting directions. Anyway JD Digits, amongst other things, runs face recognition services for farmyard animals such as cows and pigs. It turns out that pig face recognition is a big business, There are 700m pigs in China, the productivity gains that farmers can obtain from ensuring that each pig is fed optimally, that sick pigs are kept away from the herd (and so on) are very significant.

IFGS Panel on AI Ethics 2019 (courtesy of Emma Wu).
(Apparently the face recognition system also goes some way to reigning in wannabe Napoleons, as Dr. Shen explained that there are some “bully pigs” that try to obtain a disproportionate share of barnyard resources. The system can spot them chowing down when they shouldn’t be and flag for intervention.)
Which ever way you look at it, Regulators are surely right to focus down on face recognition as being a technology with a social context that we absolutely do not understand.