SIFT Score - the West's Answer to China's Social Credit Rating. Thanks, Big Brother

Data on what you buy, how, and where is secretly fed into AI-powered verification services, according to the Wall Street Journal. These are supposed to help companies guard against credit-card and other forms of fraud.

More than 16,000 signals are analyzed by a service called Sift, which generates a "Sift score," used to flag devices, credit cards and accounts that a vendor may want to block based on a person or entity's overall "trustworthiness" score. From the Sift website: "Each time we get an event -- be it a page view or an API event -- we extract features related to those events and compute the Sift Score. These features are then weighed based on fraud we've seen both on your site and within our global network, and determine a user's Score. There are features that can negatively impact a Score as well as ones which have a positive impact."

The system is similar to a credit score except there's no way to find out your own Sift score. This sounds a lot like the data that China's social credit system, in part, uses. In the PRC, a person's social score can vary depending on their behavior. The exact methodology is a secret — but examples of infractions include bad driving, smoking in non-smoking zones, buying too many video games and posting fake news online. While Edward Snowden certainly demonstrated the global extent of the US surveillance state, corporate entities have not implemented anything on the level of the Chinese social scoring system. Yet.

Wired thinks GoogleCar = more surveillance

Over at Wired Magazine,

...for most people, the link between government surveillance and freedom is more plainly understood by cars, rather than personal computers. As more and more objects become connected to the Internet these questions will grow in importance.And cars in particular might become, as Ryan Calo puts it in a 2011 article on drones, “a privacy catalyst”; an object giving us an opportunity to drag our privacy laws into the 21st century; an object that restores our mental model of what a privacy violation is.

The author continues,

“Self-driving” is another misnomer. Driving decisions are never “self-made.” They are accounted for by algorithms when they are not accounted for by drivers. These algorithms reflect many decisions that aren’t self-made either: they are the conscious answers to complicated safety, ethical, legal and commercial dilemmas. Calling a robotic car “self-driving” diverts attention from the surrender of autonomy to algorithms, making it harder to navigate the policy questions that arise.

Self-driving cars are coming–slowly and progressively, with various stages of automation before the streets are filled with no-hand-on-wheel vehicles like the prototype Google revealed Tuesday–but they are surely part of our near future. They hold considerable promise for the environment and for road safety.

They also embody our debate on freedom, autonomy, and privacy when it comes to computing systems–revealing just how intrusive remote access to computing systems by the government or individuals can become.

At The Atlantic, we read:

The automobile has afforded greater freedom to so many different kinds of Americans: the mad dreamers portrayed in On the Road; the post-World War II families who suddenly had the means to pack their kids in the backseat and vacation a thousand miles from home; the Jim Crow-era blacks for whom cars were an alternative to racist public-transportation systems; the generations of American teenagers who cruised the local strip in their own versions of American Graffiti. This heritage is dear to many, and helps explain popular opposition to policies as diverse as toll roads, speed cameras, and permitting the Transportation Security Administration to expand its operations on the nation's highways. All challenge a romantic preference for an America where anyone can climb into a car, fill up, and drive wherever they damn well please unimpeded.

But the anonymity of driving is fading. For example, automatic license-plate readers threaten much of the privacy we have enjoyed, getting to our destination.