Resources

As the authors detail, among the technologies are surveillance cameras. These are often linked to software for facial recognition, access control, behavior analysis, and weapon detection. That is, cameras scan student faces and then algorithms identify them, allow or deny them entry based on that ID, decide if their activities are threatening, and determine if objects they carry may be dangerous or forbidden.

“False hits, such as mistaking a broomstick, three-ring binder, or a Google Chromebook laptop for a gun or other type of weapon, could result in an armed police response to a school,” cautions the report.

That’s not a random assortment of harmless-until-misidentified items; a footnoted 2022 Charlotte Observer piece points out such objects were tagged as weapons by scanners in the Charlotte-Mecklenburg Schools. “A how-to video posted earlier this year by administrators at Butler High School instructs students to remove certain belongings from their backpacks — and walk through the scanner holding their laptops above their heads — to avoid setting off a false alarm,” it adds.

Huh. What happens if behavior analysis algorithms decide that brandished laptops are threatening?

Also called out is software that monitors social media, students’ communications, and web-surfing habits. Audio monitors that are supposed to detect gunshots—but can be triggered by slammed doors (as at Greenwood High School in Arkansas earlier this year)—also feature in many schools.

Of students aged 14–18 surveyed by the ACLU, 62 percent saw video cameras in their schools (the U.S. Department of Education says cameras are used by 91 percent of public schools), and 49 percent reported monitoring software. Understandably, this affects their behavior. Thirty-two percent say, “I always feel like I’m being watched,” and 26 percent fret over what their “school and the companies they contract with do with the data.”

“Research demonstrates the damaging effect of surveillance on children’s ability to develop in healthy ways,” Fedders added. “Pervasive surveillance can create a climate in which adults are seen as overestimating and overreacting to risk. Children, in turn, cannot develop the ability to evaluate and manage risk themselves in order to function effectively.”

Notably, school surveillance normalizes the idea that constant monitoring is good and necessary for preserving safety.

As few as 2 percent of New York City’s previous 22,000 short-term rentals on Airbnb have been registered with the city since a new law banning most listings came into effect in early September. But many illegal short-term rental listings are now being advertised on social media and lesser known platforms, with some still seemingly being listed on Airbnb itself. The number of short-term listings on Airbnb has fallen by more than 80 percent, from 22,434 in August to just 3,227 by October 1, according to Inside Airbnb, a watchdog group that tracks the booking platform. But just 417 properties have been registered with the city, suggesting that very few of the city’s short-term rentals have been able to get permission to continue operating.

The crackdown in New York has created a “black market” for short-term rentals in the city, claims Lisa Grossman, a spokesperson for Restore Homeowner Autonomy and Rights (RHOAR), a local group that opposed the law. Grossman says she’s seen the short-term rental market pick up steam on places like Facebook since the ban. “People are going underground,” she says. New York’s crackdown on short-term rentals has dramatically reshaped the vacation rental market in the city. People are using sites like Craigslist, Facebook, Houfy, and others, where they can search for guests or places to book without the checks and balances of booking platforms like Airbnb. Hotel prices are expected to rise with more demand.
After the rule change, Airbnb CEO Brian Chesky said the company would be shifting attention away from New York, which was once its biggest market.

Teens polled by the bank said they spent 29.1% of their daily video consumption time on Google-owned YouTube, beating out Netflix for the first time at 28.7%. Time on YouTube rose since the spring, adding nearly a percentage point, while Netflix fell more than two percentage points. The data point shows that the streaming business is getting more competitive, and highlights YouTube’s strong position as a free provider of online video, especially among young people.

The not-for-profit organisation Material Focus, which conducted the research, said the scale of the issue was huge and they wanted to encourage more recycling. More than half a billion cheaply priced electronic goods were bought in the UK in the past year alone — 16 per second. Material Focus findings showed that of these items, 471m were thrown away. This included 260m disposable vapes, 26m cables, 29m LED, solar and decorative lights, 9.8m USB sticks, and 4.8m miniature fans.

Scott Butler, executive director at Material Focus, described it as “fast tech.” He said: “People should think carefully about buying some of the more frivolous … items in the first place.” He said the items people bought were often “cheap and small,” and that consumers may not realise they contain valuable materials that could be salvaged if recycled. Small electricals can contain precious materials including copper, lithium and stainless steel. These components can be recycled and used in wind turbines, medical devices and electric vehicles. Material Focus said that while people were used to the idea of recycling larger electrical items such as fridges, lots of smaller devices were left unused in houses.

One e-toy for every person on Earth — that’s the staggering amount of electric trains, drones, talking dolls, R/C cars, and other children’s gadgets tossed into landfills every year. Some of what most consumers consider to be e-waste — like electronics such as computers, smartphones, TVs, and speaker systems — are usual suspects. Others, like power tools, vapes, LED accessories, USB cables, anything involving rechargeable lithium batteries and countless other similar, “nontraditional” e-waste materials, are less obviously in need of special disposal. In all, people across the world throw out roughly 9 billion kilograms (19.8 billion pounds) of e-waste commonly not recognized as such by consumers.

This “invisible e-waste” is the focal point of the sixth annual International E-Waste Day on October 14, organized by Waste Electrical and Electronic Equipment (WEEE) Forum. In anticipation of the event, the organization recently commissioned the United Nations Institute for Training and Research (UNITAR) to delve into just how much unconventional e-waste is discarded every year — and global population numbers are just some of the ways to visualize the issue.

According to UNITAR’s findings, for example, the total weight of all e-cig vapes thrown away every year roughly equals 6 Eiffel Towers. Meanwhile, the total weight of all invisible e-waste tallies up to “almost half a million 40 [metric ton] trucks,” enough to create a bumper-to-bumper traffic jam stretching approximately 3,504 miles — the distance between Rome and Nairobi. From a purely economic standpoint, nearly $10 billion in essential raw materials is literally thrown into the garbage every year.

An audio clip posted to social media on Sunday, purporting to show Britain’s opposition leader Keir Starmer verbally abusing his staff, has been debunked as being AI-generated by private-sector and British government analysis. The audio of Keir Starmer was posted on X (formerly Twitter) by a pseudonymous account on Sunday morning, the opening day of the Labour Party conference in Liverpool. The account asserted that the clip, which has now been viewed more than 1.4 million times, was genuine, and that its authenticity had been corroborated by a sound engineer.

Ben Colman, the co-founder and CEO of Reality Defender — a deepfake detection business — disputed this assessment when contacted by Recorded Future News: “We found the audio to be 75% likely manipulated based on a copy of a copy that’s been going around (a transcoding). As we don’t have the ground truth, we give a probability score (in this case 75%) and never a definitive score (‘this is fake’ or ‘this is real’), leaning much more towards ‘this is likely manipulated’ than not,” said Colman. “It is also our opinion that the creator of this file added background noise to attempt evasion of detection, but our system accounts for this as well,” he said.

Los Angeles Times technology columnist Brian Merchant has written a book about the 1811 Luddite rebellion against industrial technology, decrying “entrepreneurs and industrialists pushing for new, dubiously legal, highly automated and labor-saving modes of production.”

In a new piece he applauds the spirit of the Luddites. “The kind of visionaries we need now are those who see precisely how certain technologies are causing harm and who resist them when necessary.”
The parallels to the modern day are everywhere. In the 1800s, entrepreneurs used technology to justify imposing a new mode of work: the factory system. In the 2000s, CEOs used technology to justify imposing a new mode of work: algorithmically organized gig labor, in which pay is lower and protections scarce. In the 1800s, hosiers and factory owners used automation less to overtly replace workers than to deskill them and drive down their wages. Digital media bosses, call center operators and studio executives are using AI in much the same way. Then, as now, the titans used technology both as a new mode of production and as an idea that allowed them to ignore long-standing laws and regulations. In the 1800s, this might have been a factory boss arguing that his mill exempted him from a statute governing apprentice labor. Today, it’s a ride-hailing app that claims to be a software company so it doesn’t have to play by the rules of a cab firm.

Then, as now, leaders dazzled by unregulated technologies ignored their potential downsides. Then, it might have been state-of-the-art water frames that could produce an incredible volume of yarn — but needed hundreds of vulnerable child laborers to operate. Today, it’s a cellphone or a same-day delivery, made possible by thousands of human laborers toiling in often punishing conditions.

Then, as now, workers and critics sounded the alarm…

Resistance is gathering again, too. Amazon workers are joining union drives despite intense opposition. Actors and screenwriters are striking and artists and illustrators have called for a ban of generative AI in editorial outlets. Organizing, illegal in the Luddites’ time, has historically proved the best bulwark against automation. But governments must also step up. They must offer robust protections and social services for those in precarious positions. They must enforce antitrust laws. Crucially, they must develop regulations to rein in the antidemocratic model of technological development wherein a handful of billionaires and venture capital firms determine the shape of the future — and who wins and loses in it.

The clothworkers of the 1800s had the right idea: They believed everyone should share in the bounty of the amazing technologies their work makes possible.

That’s why I’m a Luddite — and why you should be one, too.

So whatever happened to the Luddites? The article reminds readers that the factory system “took root,” and “brought prosperity for some, but it created an immiserated working class.

“The 200 years since have seen breathtaking technological innovation — but much less social innovation in how the benefits are shared.”

An ACLU report has found that despite claims from companies, surveillance technology in US schools does not improve student safety and constant surveillance can, in fact, cause a number of harms to students including making students less likely to report dangerous behavior.

Schools typically use technologies such as cameras, facial recognition software and communication monitoring and filtering technology, which have been marketed by education technology surveillance companies as intervention tools against school shootings, suicides and bullying. In 2021, US schools and colleges spent $3.1bn on these products and this number is expected to grow by 8% every year, according to the report.

But the ACLU’s report concludes that there is little to no independent research or evidence that supports that this technology works.

The tan macaque with the hairless pink face could do little more than sit and shiver as her brain began to swell. The California National Primate Center staff observing her via livestream knew the signs. Whatever had been done had left her with a “severe neurological defect,” and it was time to put the monkey to sleep. But the client protested; the Neuralink scientist whose experiment left the 7-year-old monkey’s brain mutilated wanted to wait another day. And so they did.

As the attending staff sat back and observed, the monkey seized and vomited. Her pupils reacted less and less to the light. Her right leg went limp, and she could no longer support the weight of her 15-pound body without gripping the bars of her cage. One attendant moved a heat lamp beside her to try to stop her shaking. Sometimes she would wake and scratch at her throat, retching and gasping for air, before collapsing again, exhausted.

An autopsy would later reveal that the mounting pressure inside her skull had deformed and ruptured her brain. A toxic adhesive around the Neuralink implant bolted to her skull had leaked internally. The resulting inflammation had caused painful pressure on a part of the brain producing cerebrospinal fluid, the slick, translucent substance in which the brain sits normally buoyant. The hind quarter of her brain visibly poked out of the base of her skull.

On September 13, 2018, she was euthanized, records obtained by WIRED show. This episode, regulators later acknowledged, was a violation of the US Animal Welfare Act; a federal law meant to set minimally acceptable standards for the handling, housing, and feeding of research animals. There would be no consequences, however. Between 2016 and 2021, the United States Department of Agriculture (USDA) enforced the humane treatment of animals through what it called “teachable moments.” Because the center—home to a colony of nearly 5,000 primates run by the University of California–Davis—had proactively reported the violation, it could not be legally cited.

And neither could Neuralink. “If you want to split hairs,” a former employee tells WIRED, “the implant itself did not cause death. We sacrificed her to end her suffering.” The employee, who signed a confidentiality agreement, asked not to be identified.

Training large language models is an incredibly power-intensive process that has an immense carbon footprint. Keeping data centers running requires a ludicrous amount of electricity that could generate substantial amounts of greenhouse emissions — depending, of course, on the energy’s source. Now, the Verge reports, Microsoft is betting so big on AI that its pushing forward with a plan to power them using nuclear reactors. Yes, you read that right; a recent job listing suggests the company is planning to grow its energy infrastructure with the use of small modular reactors (SMR)…

But before Microsoft can start relying on nuclear power to train its AIs, it’ll have plenty of other hurdles to overcome. For one, it’ll have to source a working SMR design. Then, it’ll have to figure out how to get its hands on a highly enriched uranium fuel that these small reactors typically require, as The Verge points out. Finally, it’ll need to figure out a way to store all of that nuclear waste long term…

Other than nuclear fission, Microsoft is also investing in nuclear fusion, a far more ambitious endeavor, given the many decades of research that have yet to lead to a practical power system. Nevertheless, the company signed a power purchase agreement with Helion, a fusion startup founded by OpenAI CEO Sam Altman earlier this year, with the hopes of buying electricity from it as soon as 2028.

Why is it that so many companies that rely on monetizing the data of their users seem to be extremely hot on AI? If you ask Signal president Meredith Whittaker (and I did), she’ll tell you it’s simply because “AI is a surveillance technology.” Onstage at TechCrunch Disrupt 2023, Whittaker explained her perspective that AI is largely inseparable from the big data and targeting industry perpetuated by the likes of Google and Meta, as well as less consumer-focused but equally prominent enterprise and defense companies. “It requires the surveillance business model; it’s an exacerbation of what we’ve seen since the late ’90s and the development of surveillance advertising. AI is a way, I think, to entrench and expand the surveillance business model,” she said.

“The Venn diagram is a circle.” “And the use of AI is also surveillant, right?” she continued. “You know, you walk past a facial recognition camera that’s instrumented with pseudo-scientific emotion recognition, and it produces data about you, right or wrong, that says ‘you are happy, you are sad, you have a bad character, you’re a liar, whatever.’ These are ultimately surveillance systems that are being marketed to those who have power over us generally: our employers, governments, border control, etc., to make determinations and predictions that will shape our access to resources and opportunities.”

Saturday the San Francisco Chronicle published a joint opinion piece from MIT professor Carlo Ratti (who directs an MIT digital lab exploring the collection of digital data about urban life) and John Rossant (founder of the collaborative data-sharing platform CoMotion).

Together they penned a warning about a future filled with robotaxis. “Their convenience could seduce us into vastly overusing our cars. The result? An artificial-intelligence-powered nightmare of traffic, technically perfect but awful for our cities.”
Why do we believe this? Because it has already come to pass with ride-sharing. In the 2010s, the Senseable City Lab at the Massachusetts Institute of Technology, where one of us serves as the director, was at the forefront of using Big Data to study how ride-hailing and ride-sharing could make our streets cleaner and more efficient. The findings appeared to be astonishing: With minimal delays to passengers, we could match riders and reduce the size of New York City taxi fleets by 40%. More people could get around in fewer cars for less money. We could reduce car ownership, and free up curbs and parking lots for new uses. This utopian vision was not only compelling but within reach.

After publishing our results, we started the first collaboration between MIT and Uber to research a then-new product: Uber Pool (now rebranded UberX Share), a service that allows riders to share cars when heading to similar destinations for a lower cost. Alas, there is no such thing as a free lunch. Our research was technically right, but we had not taken into account changes in human behavior. Cars are more convenient and comfortable than walking, buses and subways — and that is why they are so popular. Make them even cheaper through ride-sharing and people are coaxed away from those other forms of transit. This dynamic became clear in the data a few years later: On average, ride-hailing trips generated far more traffic and 69% more carbon dioxide than the trips they displaced. We were proud of our contribution to ride-sharing but dismayed to see the results of a 2018 study that found that Uber Pool was so cheap it increased overall city travel: For every mile of personal driving it removed, it added 2.6 miles of people who otherwise would have taken another mode of transportation.

As robotaxis are on the cusp of proliferating across the world, we are about to repeat the same mistake, but at a far greater scale… [W]e cannot let a shiny new piece of technology drive us into an epic traffic jam of our own making. The best way to make urban mobility accessible, efficient and green is not about new technologies — neither self-driving cars nor electric ones — but old ones. Buses, subways, bikes and our own two feet are cleaner, cheaper and more efficient than anything Silicon Valley has dreamt up… Autonomous technology could, for example, allow cities to offer more buses, shuttles and other forms of public transit around the clock. That’s because the availability of on-demand AVs could assure “last-mile” connections between homes and transit stops. It could also be a godsend for older people and those with disabilities. However, any scale-up of AVs should be counterbalanced with investments in mass transit and improvements in walkability.

Above all, we must put in place smart regulatory and tax regimes that allow all sustainable mobility modes — including autonomous services — to scale safely and intelligently. They should include, for example, congestion fees to discourage overuse of individual vehicles.

Analysis of data gathered using cutting-edge methodology — including detailed satellite images and measurements from more than 1,400 ground monitoring stations — reveals a dire picture of dirty air, with 98% of people living in areas with highly damaging fine particulate pollution that exceed World Health Organization guidelines. Almost two-thirds live in areas where air quality is more than double the WHO’s guidelines.

The worst hit country in Europe is North Macedonia. Almost two-thirds of people across the country live in areas with more than four times the WHO guidelines for PM2.5, while four areas were found to have air pollution almost six times the figure, including in its capital, Skopje. Eastern Europe is significantly worse than western Europe, apart from Italy, where more than a third of those living in the Po valley and surrounding areas in the north of the country breath air that is four times the WHO figure for the most dangerous airborne particulates.

Before a single witness could utter a word of testimony in the Google antitrust case on Tuesday, the public and the press were temporarily barred from the courtroom. It’s just another step in a long list of anti-transparency measures styming access to the case: documents and testimony have been repeatedly sealed; exhibits used in open court have been removed from the internet; and only those who can actually make it to the courtroom are permitted to listen to the testimony (when they’re allowed in at all, that is).

Despite these restrictions, reporters and courtwatchers have been doing their best to inform their audiences about the trial. But if the federal judge presiding over the case, Amit Mehta, doesn’t act soon to stop this tsunami of secrecy, people may be left mostly in the dark about the biggest antitrust lawsuit of the 21st century.

Behind this anti-transparency push are Google and other big tech companies arguing that letting people observe the case fully could reveal trade secrets or otherwise embarrass them by generating “clickbait.” There is some precedent for closing parts of trials or redacting court documents to avoid disclosing trade secrets. But not to save corporations from embarrassment.

Mozilla found brands including BMW, Ford, Toyota, Tesla, and Subaru collect data about drivers including race, facial expressions, weight, health information, and where you drive. Some of the cars tested collected data you wouldn’t expect your car to know about, including details about sexual activity, race, and immigration status, according to Mozilla. […] The worst offender was Nissan, Mozilla said. The carmaker’s privacy policy suggests the manufacturer collects information including sexual activity, health diagnosis data, and genetic data, though there’s no details about how exactly that data is gathered. Nissan reserves the right to share and sell “preferences, characteristics, psychological trends, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes” to data brokers, law enforcement, and other third parties.

Other brands didn’t fare much better. Volkswagen, for example, collects your driving behaviors such as your seatbelt and braking habits and pairs that with details such as age and gender for targeted advertising. Kia’s privacy policy reserves the right to monitor your “sex life,” and Mercedes-Benz ships cars with TikTok pre-installed on the infotainment system, an app that has its own thicket of privacy problems. The privacy and security problems extend beyond the nature of the data car companies siphon off about you. Mozilla said it was unable to determine whether the brands encrypt any of the data they collect, and only Mercedes-Benz responded to the organization’s questions.

Mozilla also found that many car brands engage in “privacy washing,” or presenting consumers with information that suggests they don’t have to worry about privacy issues when the exact opposite is true. Many leading manufacturers are signatories to the Alliance for Automotive Innovation’s “Consumer Privacy Protection Principles (PDF).” According to Mozilla, these are a non-binding set of vague promises organized by the car manufacturers themselves. Questions around consent are essentially a joke as well. Subaru, for example, says that by being a passenger in the car, you are considered a “user” who has given the company consent to harvest information about you. Mozilla said a number of car brands say it’s the drivers responsibility to let passengers know about their car’s privacy policies — as if the privacy policies are comprehensible to drivers in the first place. Toyota, for example, has a constellation of 12 different privacy policies for your reading pleasure.

New York law enforcement agencies have spent millions of dollars to expand their capabilities to track and analyze social media posts, new documents show, including by contracting with a surveillance firm accused of improperly scraping social media platforms for data.

Documents obtained by the Surveillance Technology Oversight Project (Stop), a privacy advocacy non-profit and shared with the Guardian, reveal the New York police department in 2018 entered a nearly $9m contract with Voyager Labs, a surveillance company that has been sued by Meta for allegedly using nearly 40,000 fake Facebook accounts to collect data on an estimated 600,000 users.

In a document released on Wednesday, the government outlined its ambitions to potentially deploy new biometric systems nationally over the next 12 to 18 months. The move comes after privacy campaigners and independent academics criticised the technology for being inaccurate and biased, particularly against darker-skinned people.

MPs have previously called for a moratorium on its use on the general population until clear laws are established by parliament. The government is calling for submissions from companies for technologies that “can resolve identity using facial features and landmarks,” including for live facial recognition which involves screening the general public for specific individuals on police watch lists.

In particular, the Home Office is highlighting its interest in novel artificial intelligence technologies that could process facial data efficiently to identify individuals, and software that could be integrated with existing technologies deployed by the department and with CCTV cameras. Facial recognition software has been used by South Wales Police and London’s Metropolitan Police over the past five years across multiple trials in public spaces including shopping centres, during events such as the Notting Hill Carnival and, more recently, during the coronation.

For years, cops and other government authorities all over the world have been using phone hacking technology provided by Cellebrite to unlock phones and obtain the data within. And the company has been keen on keeping the use of its technology “hush hush.” As part of the deal with government agencies, Cellebrite asks users to keep its tech — and the fact that they used it — secret, TechCrunch has learned. This request concerns legal experts who argue that powerful technology like the one Cellebrite builds and sells, and how it gets used by law enforcement agencies, ought to be public and scrutinized.

In a leaked training video for law enforcement customers that was obtained by TechCrunch, a senior Cellebrite employee tells customers that “ultimately, you’ve extracted the data, it’s the data that solves the crime, how you got in, let’s try to keep that as hush hush as possible.” “We don’t really want any techniques to leak in court through disclosure practices, or you know, ultimately in testimony, when you are sitting in the stand, producing all this evidence and discussing how you got into the phone,” the employee, who we are not naming, says in the video.

U.S. spy agencies will share more intelligence with U.S. companies, nongovernmental organizations and academia under a new strategy released this week that acknowledges concerns over new threats, such as another pandemic and increasing cyberattacks. The National Intelligence Strategy, which sets broad goals for the sprawling U.S. intelligence community, says that spy agencies must reach beyond the traditional walls of secrecy and partner with outside groups to detect and deter supply-chain disruptions, infectious diseases and other growing transnational threats. The intelligence community “must rethink its approach to exchanging information and insights,” the strategy says.

The U.S. government in recent years has begun sharing vast amounts of cyber-threat intelligence with U.S. companies, utilities and others who are often the main targets of foreign hackers, as well as information on foreign-influence operations with social-media companies… The emphasis on greater intelligence sharing is part of a broader trend toward declassification that the Biden administration has pursued.

Regulations imposed in 2020 by the United Nations’s International Maritime Organization (IMO) have cut ships’ sulfur pollution by more than 80% and improved air quality worldwide. The reduction has also lessened the effect of sulfate particles in seeding and brightening the distinctive low-lying, reflective clouds that follow in the wake of ships and help cool the planet. The 2020 IMO rule “is a big natural experiment,” says Duncan Watson-Parris, an atmospheric physicist at the Scripps Institution of Oceanography. “We’re changing the clouds.”

By dramatically reducing the number of ship tracks, the planet has warmed up faster, several new studies have found. That trend is magnified in the Atlantic, where maritime traffic is particularly dense. In the shipping corridors, the increased light represents a 50% boost to the warming effect of human carbon emissions. It’s as if the world suddenly lost the cooling effect from a fairly large volcanic eruption each year, says Michael Diamond, an atmospheric scientist at Florida State University. The natural experiment created by the IMO rules is providing a rare opportunity for climate scientists to study a geoengineering scheme in action — although it is one that is working in the wrong direction. Indeed, one such strategy to slow global warming, called marine cloud brightening, would see ships inject salt particles back into the air, to make clouds more reflective. In Diamond’s view, the dramatic decline in ship tracks is clear evidence that humanity could cool off the planet significantly by brightening the clouds. “It suggests pretty strongly that if you wanted to do it on purpose, you could,” he says.