This isn’t quite the brave new world we were hoping these new technologies would enable.
Davos: George Soros calls Xi Jinping a “dangerous opponent” of open societies
Soros said he wanted to “call attention to the mortal danger facing open societies from the instruments of control that machine learning and artificial intelligence can put in the hands of repressive regimes.” Echoing recent concerns raised about China’s use of facial-recognition technology, Soros asked: “How can open societies be protected if these new technologies give authoritarian regimes a built-in advantage? That’s the question that preoccupies me. And it should also preoccupy all those who prefer to live in an open society.”
Tracing his critique of authoritarian governments to his own childhood under Nazi occupation in Hungary, Soros, who is now 88, urged the Trump administration to take a harder stance on China. “My present view is that instead of waging a trade war with practically the whole world, the US should focus on China,” he said.
The complicated truth about China’s social credit system
What’s troubling is when those private systems link up to the government rankings — which is already happening with some pilots, she says. “You’ll have sort of memorandum of understanding like arrangements between the city and, say, Alibaba and Tencent about data exchanges and including that in assessments of citizens,” Ohlberg adds. That’s a lot of data being collected with little protection, and no algorithmic transparency about how it’s analysed to spit out a score or ranking. […]
The criteria that go into a social credit ranking depends on where you are, notes Ohlberg. “It’s according to which place you’re in, because they have their own catalogs,” she says. It can range from not paying fines when you’re deemed fully able to, misbehaving on a train, standing up a taxi, or driving through a red light. One city, Rongcheng, gives all residents 1,000 points to start. Authorities make deductions for bad behaviour like traffic violations, and add points for good behaviour such as donating to charity.
Running a red light is one thing, but what if you’re a journalist investigating corruption and misconduct?
Chinese blacklist an early glimpse of sweeping new social-credit control
What it meant for Mr. Liu is that when he tried to buy a plane ticket, the booking system refused his purchase, saying he was “not qualified.” Other restrictions soon became apparent: He has been barred from buying property, taking out a loan or travelling on the country’s top-tier trains.
“There was no file, no police warrant, no official advance notification. They just cut me off from the things I was once entitled to,” he said. “What’s really scary is there’s nothing you can do about it. You can report to no one. You are stuck in the middle of nowhere.”
In China, facial recognition tech is watching you
Megvii, meanwhile, supports the state’s nationwide surveillance program, which China, with troubling inferences, calls Skynet. Launched in 2005, Skynet aims to create a nationwide panopticon by blanketing the country with CCTV. Thanks to Face++, it now incorporates millions of A.I.-enhanced cameras that have been used to apprehend some 2,000 suspects since 2016, according to a Workers’ Daily report. […]
Jeffrey Ding, an Oxford University researcher focused on Chinese A.I., believes there is more pushback in the West against deploying facial recognition technology for security purposes. “There’s more willingness in China to adopt it,” he says, “or at least to trial it.”
But there’s also less freedom to oppose the onslaught. “The intention of these systems is to weave a tighter net of social control that makes it harder for people to plan action or push the government to reform,” explains Maya Wang, senior China researcher at Human Rights Watch.
The line from Soros about the danger from “the instruments of control that machine learning and artificial intelligence can put in the hands of repressive regimes” chimes with what I’m reading in James Bridle’s new book, New Dark Age.
May we live in interesting times.