Sidewalk Labs is Google's sister company that sells "smart city" technology; its showcase partner is Toronto, my hometown, where it has made a creepy shitshow out of its freshman outing, from the mass resignations of its privacy advisors to the underhanded way it snuck in the right to take over most of the lakeshore without further consultations (something the company straight up lied about after they were outed). — Read the rest
My latest Locus Magazine column is DRM Broke Its Promise, which recalls the days when digital rights management was pitched to us as a way to enable exciting new markets where we'd all save big by only buying the rights we needed (like the low-cost right to read a book for an hour-long plane ride), but instead (unsurprisingly) everything got more expensive and less capable.
You know what's great about putting wifi-enabled, Turing-complete computers into things like lightbulbs? Not. A. Single. Fucking. Thing.
[I ran a review of this in June when the UK edition came out — this review coincides with the US edition's publication]
Rob Smith is an eminent computer scientist and machine learning pioneer whose work on genetic algorithms has been influential in both industry and the academy; now, in his first book for a general audience, Rage Inside the Machine: The Prejudice of Algorithms, and How to Stop the Internet Making Bigots of Us All, Smith expertly draws connections between AI, neoliberalism, human bias, eugenics and far-right populism, and shows how the biases of computer science and the corporate paymasters have distorted our whole society.
Every time I write about the unfolding scandal of Amazon's secret partnerships with hundreds of US police departments who get free merch and access to Ring surveillance doorbell footage in exchange for acting as a guerrilla marketing street-team for Ring, I get an affronted email from Amazon PR, implying that I got it all wrong, but unwilling to enter into detailed discussions of what's actually going on (the PR flacks also usually ask to be quoted officially but anonymously, something I never agree to). — Read the rest
"You have the right to remain silent." We've heard the Miranda warning countless times on TV, but what good is the right to remain silent if our own cellphones testify against us? Imagine every incriminating and embarrassing secret our devices hold in the hands of prosecutors, simply because you've been accused of a minor crime. — Read the rest
When airline seatback entertainment systems started to come bundled with little webcams, airlines were quick to disavow their usage, promising that the cameras were only installed for potential future videoconferncing or gaming apps, and not to allow the crew or airline to spy on passengers in their seats.
Last week, Motherboard broke a story revealing that Amazon had entered into secret agreements with local law enforcement agencies that had the cops pushing Ring surveillance doorbells to the people they were sworn to protect, in exchange for freebies and access to a system that let them request access to footage recorded by the Amazon's industry-leading internet-of-shit home surveillance tools.
In 2008, a security researcher named James Glenn warned Cisco that its video surveillance software had a defect that made it vulnerable to a trivial-to-exploit attack; for four years afterward, the company continued to sell this software to schools, airports, hospitals, state/local governments, the US military, FEMA, the Secret Service and police departments without mitigating the defect or warning their customers that internet-connected randos could undetectably peer through their security cameras, unlock their doors, disable their alarms, and delete footage.
Ben Herzog's Cryptographic Attacks: A Guide for the Perplexed from Check Point Research is one of the clearest, most useful guides to how cryptography fails that I've ever read.
Last week, Motherboard reported on a public record request that revealed that Amazon had struck confidential deals with local police forces to get them to promote the company's Internet of Things "Ring" doorbells, and the accompanying "Neighbors" app that produces a kind of private surveillance mesh overlooking nearby public spaces — under the terms of the deal, cops would be able to see a map noting locations of Ring surveillance cams and request footage from their owners.
Illustrating abstract articles is a pain in the ass, and in the age of social media, a post without an illustration is likely to disappear without attaining any kind of readership, which leaves those of us who cover the field endlessly remixing HAL9000 eyes using walls of code, Matrix text-waterfalls, or variations on hacker-in-a-hoodie.
Amazon quietly struck deals with dozens of local law enforcement agencies across America that gave the police access to a distributed surveillance feed from its Ring "smart doorbell" products in exchange for the cops providing free advertising for the products without revealing their contractual requirement to do so.
One of the more extravagant claims made by tech companies is that they can detect emotions by analyzing photos of our faces with machine learning systems. The premise is sometimes dressed up in claims about "micro-expressions" that are below the threshold of human detection, though some vendors have made billions getting security agencies to let them train officers in "behavior detection" grounded in this premise.
In Q2 2018, Chinese investors sank $2.87b into AI startups; in Q2 2019, it was $140.7m.
After Bloomberg revealed that Amazon secretly sent recordings from Alexa to subcontractors all over the world in order to improve its speech-recognition systems, a whistleblower leaked recordings from Google Home to investigative reporters from VRT, revealing that Google, too, was sending audio clips from its voice assistant technology to pieceworkers through the Crowdsource app.
I used to be on the program committee for the O'Reilly Emerging Technology conferences; one year we decided to make the theme "magic" — all the ways that new technologies were doing things that baffled us and blew us away.
The idea that you can detect lies by analyzing "microexpressions" has absorbed billions in spending by police forces and security services, despite the fact that it's junk science that performs worse than a coin-toss.
Rob Smith is an eminent computer scientist and machine learning pioneer whose work on genetic algorithms has been influential in both industry and the academy; now, in his first book for a general audience, Rage Inside the Machine: The Prejudice of Algorithms, and How to Stop the Internet Making Bigots of Us All, Smith expertly draws connections between AI, neoliberalism, human bias, eugenics and far-right populism, and shows how the biases of computer science and the corporate paymasters have distorted our whole society.
"Key Performance Indicators" — KPIs — are the metrics used by software shops to figure out whether their products are improving; notoriously, much of the software industry has converged on "engagement" (that is, minutes spent with an app) as a KPI, and everyone from designers to programmers to managers to execs earn their bonuses and promotions by making that number go up.