AI News Stories
Artificial Intelligence (AI) is emerging technology with great promise and potential for abuse. Below are key excerpts of revealing news articles on AI technology from reliable news media sources. If any link fails to function, a paywall blocks full access, or the article is no longer available, try these digital tools.
Columbus landlords are now turning to artificial intelligence to evict tenants from their homes. [Attorney Jyoshu] Tsushima works for the Legal Aid Society of Southeast and Central Ohio and focuses on evictions. In June, nearly 2,000 evictions were filed within Franklin County Municipal Court. Tsushima said the county is on track to surpass 24,000 evictions for the year. In eviction court, he said both property management staffers and his clients describe software used that automatically evicts tenants. He said human employees don't determine who will be kicked out but they're the ones who place the eviction notices up on doors. Hope Matfield contacted ABC6 ... after she received an eviction notice on her door at Eden of Caleb's Crossing in Reynoldsburg in May. "They're profiting off people living in hell, basically," Matfield [said]. "I had no choice. I had to make that sacrifice, do a quick move and not know where my family was going to go right away." In February, Matfield started an escrow case against her property management group which is 5812 Investment Group. When Matfield missed a payment, the courts closed her case and gave the escrow funds to 5812 Investment Group. Matfield received her eviction notice that same day. The website for 5812 Investment Group indicates it uses software from RealPage. RealPage is subject to a series of lawsuits across the country due to algorithms multiple attorneys general claim cause price-fixing on rents.
Note: Read more about how tech companies are increasingly marketing smart tools to landlords for a troubling purpose: surveilling tenants to justify evictions or raise their rent. For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
Surveillance technologies have evolved at a rapid clip over the last two decades — as has the government’s willingness to use them in ways that are genuinely incompatible with a free society. The intelligence failures that allowed for the attacks on September 11 poured the concrete of the surveillance state foundation. The gradual but dramatic construction of this surveillance state is something that Republicans and Democrats alike are responsible for. Our country cannot build and expand a surveillance superstructure and expect that it will not be turned against the people it is meant to protect. The data that’s being collected reflect intimate details about our closely held beliefs, our biology and health, daily activities, physical location, movement patterns, and more. Facial recognition, DNA collection, and location tracking represent three of the most pressing areas of concern and are ripe for exploitation. Data brokers can use tens of thousands of data points to develop a detailed dossier on you that they can sell to the government (and others). Essentially, the data broker loophole allows a law enforcement agency or other government agency such as the NSA or Department of Defense to give a third party data broker money to hand over the data from your phone — rather than get a warrant. When pressed by the intelligence community and administration, policymakers on both sides of the aisle failed to draw upon the lessons of history.
Note: For more along these lines, see concise summaries of deeply revealing news articles on government corruption and the disappearance of privacy from reliable major media sources.
If you appeared in a photo on Facebook any time between 2011 and 2021, it is likely your biometric information was fed into DeepFace — the company’s controversial deep-learning facial recognition system that tracked the face scan data of at least a billion users. That's where Texas Attorney General Ken Paxton comes in. His office secured a $1.4 billion settlement from Meta over its alleged violation of a Texas law that bars the capture of biometric data without consent. Meta is on the hook to pay $275 million within the next 30 days and the rest over the next four years. Why did Paxton wait until 2022 — a year after Meta announced it would suspend its facial recognition technology and delete its database — to go up against the tech giant? If our AG truly prioritized privacy, he'd focus on the lesser-known companies that law enforcement agencies here in Texas are paying to scour and store our biometric data. In 2017, [Clearview AI] launched a facial recognition app that ... could identify strangers from a photo by searching a database of faces scraped without consent from social media. In 2020, news broke that at least 600 law enforcement agencies were tapping into a database of 3 billion facial images. Clearview was hit with lawsuit after lawsuit. That same year, the company was hacked and its entire client list — which included the Department of Justice, U.S. Immigration and Customs Enforcement, Interpol, retailers and hundreds of police departments — was leaked.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Automated fast food restaurant CaliExpress by Flippy, in Pasadena, Calif., opened in January to considerable hype due to its robot burger makers, but the restaurant launched with another, less heralded innovation: the ability to pay for your meal with your face. CaliExpress uses a payment system from facial ID tech company PopID. It’s not the only fast-food chain to employ the technology. Biometric payment options are becoming more common. Amazon introduced pay-by-palm technology in 2020, and while its cashier-less store experiment has faltered, it installed the tech in 500 of its Whole Foods stores last year. Mastercard, which is working with PopID, launched a pilot for face-based payments in Brazil back in 2022, and it was deemed a success — 76% of pilot participants said they would recommend the technology to a friend. As stores implement biometric technology for a variety of purposes, from payments to broader anti-theft systems, consumer blowback, and lawsuits, are rising. In March, an Illinois woman sued retailer Target for allegedly illegally collecting and storing her and other customers’ biometric data via facial recognition technology without their consent. Amazon and T-Mobile are also facing legal actions related to biometric technology. In other countries ... biometric payment systems are comparatively mature. Visitors to McDonald’s in China ... use facial recognition technology to pay for their orders.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Peregrine ... is essentially a super-powered Google for police data. Enter a name or address into its web-based app, and Peregrine quickly scans court records, arrest reports, police interviews, body cam footage transcripts — any police dataset imaginable — for a match. It’s taken data siloed across an array of older, slower systems, and made it accessible in a simple, speedy app that can be operated from a web browser. To date, Peregrine has scored 57 contracts across a wide range of police and public safety agencies in the U.S., from Atlanta to L.A. Revenue tripled in 2023, from $3 million to $10 million. [That will] triple again to $30 million this year, bolstered by $60 million in funding from the likes of Friends & Family Capital and Founders Fund. Privacy advocates [are] concerned about indiscriminate surveillance. “We see a lot of police departments of a lot of different sizes getting access to Real Time Crime Centers now, and it's definitely facilitating a lot more general access to surveillance feeds for some of these smaller departments that would have previously found it cost prohibitive,” said Beryl Lipton ... at the Electronic Frontier Foundation (EFF). “These types of companies are inherently going to have a hard time protecting privacy, because everything that they're built on is basically privacy damaging.” Peregrine technology can also enable “predictive policing,” long criticized for unfairly targeting poorer, non-white neighborhoods.
Note: Learn more about Palantir's involvement in domestic surveillance and controversial military technologies. For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
If you rent your home, there’s a good chance your landlord uses RealPage to set your monthly payment. The company describes itself as merely helping landlords set the most profitable price. But a series of lawsuits says it’s something else: an AI-enabled price-fixing conspiracy. The late Justice Antonin Scalia once called price-fixing the “supreme evil” of antitrust law. Agreeing to fix prices is punishable with up to 10 years in prison and a $100 million fine. Property owners feed RealPage’s “property management software” their data, including unit prices and vacancy rates, and the algorithm—which also knows what competitors are charging—spits out a rent recommendation. If enough landlords use it, the result could look the same as a traditional price-fixing cartel: lockstep price increases instead of price competition, no secret handshake or clandestine meeting needed. Algorithmic price-fixing appears to be spreading to more and more industries. And existing laws may not be equipped to stop it. In more than 40 housing markets across the United States, 30 to 60 percent of multifamily-building units are priced using RealPage. The plaintiffs suing RealPage, including the Arizona and Washington, D.C., attorneys general, argue that this has enabled a critical mass of landlords to raise rents in concert, making an existing housing-affordability crisis even worse. The lawsuits also argue that RealPage pressures landlords to comply with its pricing suggestions.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
In 2017, hundreds of artificial intelligence experts signed the Asilomar AI Principles for how to govern artificial intelligence. I was one of them. So was OpenAI CEO Sam Altman. The signatories committed to avoiding an arms race on the grounds that “teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.” The stated goal of OpenAI is to create artificial general intelligence, a system that is as good as expert humans at most tasks. It could have significant benefits. It could also threaten millions of lives and livelihoods if not developed in a provably safe way. It could be used to commit bioterrorism, run massive cyberattacks or escalate nuclear conflict. Given these dangers, a global arms race to unleash artificial general intelligence AGI serves no one’s interests. The true power of AI lies ... in its potential to bridge divides. AI might help us identify fundamental patterns in global conflicts and human behavior, leading to more profound solutions. AI’s ability to process vast amounts of data could help identify patterns in global conflicts by suggesting novel approaches to resolution that human negotiators might overlook. Advanced natural language processing could break down communication barriers, allowing for more nuanced dialogue between nations and cultures. Predictive AI models could identify early signs of potential conflicts, allowing for preemptive diplomatic interventions.
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, see concise summaries of deeply revealing news articles on AI from reliable major media sources.
In 2021, parents in South Africa with children between the ages of 5 and 13 were offered an unusual deal. For every photo of their child’s face, a London-based artificial intelligence firm would donate 20 South African rands, about $1, to their children’s school as part of a campaign called “Share to Protect.” With promises of protecting children, a little-known group of companies in an experimental corner of the tech industry known as “age assurance” has begun engaging in a massive collection of faces, opening the door to privacy risks for anyone who uses the web. The companies say their age-check tools could give parents ... peace of mind. But by scanning tens of millions of faces a year, the tools could also subject children — and everyone else — to a level of inspection rarely seen on the open internet and boost the chances their personal data could be hacked, leaked or misused. Nineteen states, home to almost 140 million Americans, have passed or enacted laws requiring online age checks since the beginning of last year, including Virginia, Texas and Florida. For the companies, that’s created a gold mine. But ... Alex Stamos, the former security chief of Facebook, which uses Yoti, said “most age verification systems range from ‘somewhat privacy violating’ to ‘authoritarian nightmare.'” Some also fear that lawmakers could use the tools to bar teens from content they dislike, including First Amendment-protected speech.
Note: Learn about Proctorio, an AI surveillance anti-cheating software used in schools to monitor children through webcams—conducting "desk scans," "face detection," and "gaze detection" to flag potential cheating and to spot anybody “looking away from the screen for an extended period of time." For more along these lines, see concise summaries of deeply revealing news articles on AI and the disappearance of privacy from reliable major media sources.
The eruption of racist violence in England and Northern Ireland raises urgent questions about the responsibilities of social media companies, and how the police use facial recognition technology. While social media isn’t the root of these riots, it has allowed inflammatory content to spread like wildfire and helped rioters coordinate. The great elephant in the room is the wealth, power and arrogance of the big tech emperors. Silicon Valley billionaires are richer than many countries. That mature modern states should allow them unfettered freedom to regulate the content they monetise is a gross abdication of duty, given their vast financial interest in monetising insecurity and division. In recent years, [facial recognition] has been used on our streets without any significant public debate. We wouldn’t dream of allowing telephone taps, DNA retention or even stop and search and arrest powers to be so unregulated by the law, yet this is precisely what has happened with facial recognition. Our facial images are gathered en masse via CCTV cameras, the passport database and the internet. At no point were we asked about this. Individual police forces have entered into direct contracts with private companies of their choosing, making opaque arrangements to trade our highly sensitive personal data with private companies that use it to develop proprietary technology. There is no specific law governing how the police, or private companies ... are authorised to use this technology. Experts at Big Brother Watch believe the inaccuracy rate for live facial recognition since the police began using it is around 74%, and there are many cases pending about false positive IDs.
Note: Many US states are not required to reveal that they used face recognition technology to identify suspects, even though misidentification is a common occurrence. For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
Texas Attorney General Ken Paxton has won a $1.4 billion settlement from Facebook parent Meta over charges that it captured users' facial and biometric data without properly informing them it was doing so. Paxton said that starting in 2011, Meta, then known as Facebook, rolled out a “tag” feature that involved software that learned how to recognize and sort faces in photos. In doing so, it automatically turned on the feature without explaining how it worked, Paxton said — something that violated a 2009 state statute governing the use of biometric data, as well as running afoul of the state's deceptive trade practices act. "Unbeknownst to most Texans, for more than a decade Meta ran facial recognition software on virtually every face contained in the photographs uploaded to Facebook, capturing records of the facial geometry of the people depicted," he said in a statement. As part of the settlement, Meta did not admit to wrongdoing. Facebook discontinued how it had previously used face-recognition technology in 2021, in the process deleting the face-scan data of more than one billion users. The settlement amount, which Paxton said is the largest ever obtained by a single state against a business, will be paid out over five years. “This historic settlement demonstrates our commitment to standing up to the world’s biggest technology companies and holding them accountable for breaking the law and violating Texans’ privacy rights," Paxton said.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
Google announced this week that it would begin the international rollout of its new artificial intelligence-powered search feature, called AI Overviews. When billions of people search a range of topics from news to recipes to general knowledge questions, what they see first will now be an AI-generated summary. While Google was once mostly a portal to reach other parts of the internet, it has spent years consolidating content and services to make itself into the web’s primary destination. Weather, flights, sports scores, stock prices, language translation, showtimes and a host of other information have gradually been incorporated into Google’s search page over the past 15 or so years. Finding that information no longer requires clicking through to another website. With AI Overviews, the rest of the internet may meet the same fate. Google has tried to assuage publishers’ fears that users will no longer see their links or click through to their sites. Research firm Gartner predicts a 25% drop in traffic to websites from search engines by 2026 – a decrease that would be disastrous for most outlets and creators. What’s left for publishers is largely direct visits to their own home pages and Google referrals. If AI Overviews take away a significant portion of the latter, it could mean less original reporting, fewer creators publishing cooking blogs or how-to guides, and a less diverse range of information sources.
Note: WantToKnow.info traffic from Google search has fallen sharply as Google has stopped indexing most websites. These new AI summaries make independent media sites even harder to find. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Liquid capital, growing market dominance, slick ads, and fawning media made it easy for giants like Google, Microsoft, Apple, and Amazon to expand their footprint and grow their bottom lines. Yet ... these companies got lazy, entitled, and demanding. They started to care less about the foundations of their business — like having happy customers and stable products — and more about making themselves feel better by reinforcing their monopolies. Big Tech has decided the way to keep customers isn't to compete or provide them with a better service but instead make it hard to leave, trick customers into buying things, or eradicate competition so that it can make things as profitable as possible, even if the experience is worse. After two decades of consistent internal innovation, Big Tech got addicted to acquisitions in the 2010s: Apple bought Siri; Meta bought WhatsApp, Instagram, and Oculus; Amazon bought Twitch; Google bought Nest and Motorola's entire mobility division. Over time, the acquisitions made it impossible for these companies to focus on delivering the features we needed. Google, Meta, Amazon, and Apple are simply no longer forces for innovation. Generative AI is the biggest, dumbest attempt that tech has ever made to escape the fallout of building companies by acquiring other companies, taking their eyes off actually inventing things, and ignoring the most important part of their world: the customer.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech from reliable major media sources.
My insurance broker left a frantic voicemail telling me that my homeowner's insurance had lapsed. When I finally reached my insurance broker, he told me the reason Travelers revoked my policy: AI-powered drone surveillance. My finances were imperiled, it seemed, by a bad piece of code. As my broker revealed, the ominous threat that canceled my insurance was nothing more than moss. Travelers not only uses aerial photography and AI to monitor its customers' roofs, but also wrote patents on the technology — nearly 50 patents actually. And it may not be the only insurer spying from the skies. No one can use AI to know the future; you're training the technology to make guesses based on changes in roof color and grainy aerial images. But even the best AI models will get a lot of predictions wrong, especially at scale and particularly where you're trying to make guesses about the future of radically different roof designs across countless buildings in various environments. For the insurance companies designing the algorithms, that means a lot of questions about when to put a thumb on the scale in favor of, or against, the homeowner. And insurance companies will have huge incentives to choose against the homeowner every time. When Travelers flew a drone over my house, I never knew. When it decided I was too much of a risk, I had no way of knowing why or how. As more and more companies use more and more opaque forms of AI to decide the course of our lives, we're all at risk.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and the disappearance of privacy from reliable major media sources.
The National Science Foundation spent millions of taxpayer dollars developing censorship tools powered by artificial intelligence that Big Tech could use “to counter misinformation online” and “advance state-of-the-art misinformation research.” House investigators on the Judiciary Committee and Select Committee on the Weaponization of Government said the NSF awarded nearly $40 million ... to develop AI tools that could censor information far faster and at a much greater scale than human beings. The University of Michigan, for instance, was awarded $750,000 from NSF to develop its WiseDex artificial intelligence tool to help Big Tech outsource the “responsibility of censorship” on social media. The release of [an] interim report follows new revelations that the Biden White House pressured Amazon to censor books about the COVID-19 vaccine and comes months after court documents revealed White House officials leaned on Twitter, Facebook, YouTube and other sites to remove posts and ban users whose content they opposed, even threatening the social media platforms with federal action. House investigators say the NSF project is potentially more dangerous because of the scale and speed of censorship that artificial intelligence could enable. “AI-driven tools can monitor online speech at a scale that would far outmatch even the largest team of ’disinformation’ bureaucrats and researchers,” House investigators wrote in the interim report.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and censorship from reliable sources.
Once upon a time ... Google was truly great. A couple of lads at Stanford University in California had the idea to build a search engine that would crawl the world wide web, create an index of all the sites on it and rank them by the number of inbound links each had from other sites. The arrival of ChatGPT and its ilk ... disrupts search behaviour. Google’s mission – “to organise the world’s information and make it universally accessible” – looks like a much more formidable task in a world in which AI can generate infinite amounts of humanlike content. Vincent Schmalbach, a respected search engine optimisation (SEO) expert, thinks that Google has decided that it can no longer aspire to index all the world’s information. That mission has been abandoned. “Google is no longer trying to index the entire web,” writes Schmalbach. “In fact, it’s become extremely selective, refusing to index most content. This isn’t about content creators failing to meet some arbitrary standard of quality. Rather, it’s a fundamental change in how Google approaches its role as a search engine.” The default setting from now on will be not to index content unless it is genuinely unique, authoritative and has “brand recognition”. “They might index content they perceive as truly unique,” says Schmalbach. “But if you write about a topic that Google considers even remotely addressed elsewhere, they likely won’t index it. This can happen even if you’re a well-respected writer with a substantial readership.”
Note: WantToKnow.info and other independent media websites are disappearing from Google search results because of this. For more along these lines, see concise summaries of deeply revealing news articles on AI and censorship from reliable sources.
Google and a few other search engines are the portal through which several billion people navigate the internet. Many of the world’s most powerful tech companies, including Google, Microsoft, and OpenAI, have recently spotted an opportunity to remake that gateway with generative AI, and they are racing to seize it. Nearly two years after the arrival of ChatGPT, and with users growing aware that many generative-AI products have effectively been built on stolen information, tech companies are trying to play nice with the media outlets that supply the content these machines need. The start-up Perplexity ... announced revenue-sharing deals with Time, Fortune, and several other publishers. These publishers will be compensated when Perplexity earns ad revenue from AI-generated answers that cite partner content. The site does not currently run ads, but will begin doing so in the form of sponsored “related follow-up questions.” OpenAI has been building its own roster of media partners, including News Corp, Vox Media, and The Atlantic. Google has purchased the rights to use Reddit content to train future AI models, and ... appears to be the only major search engine that Reddit is permitting to surface its content. The default was once that you would directly consume work by another person; now an AI may chew and regurgitate it first, then determine what you see based on its opaque underlying algorithm. Many of the human readers whom media outlets currently show ads and sell subscriptions to will have less reason to ever visit publishers’ websites. Whether OpenAI, Perplexity, Google, or someone else wins the AI search war might not depend entirely on their software: Media partners are an important part of the equation. AI search will send less traffic to media websites than traditional search engines. The growing number of AI-media deals, then, are a shakedown. AI is scraping publishers’ content whether they want it to or not: Media companies can be chumps or get paid.
Note: The AI search war has nothing to do with journalists and content creators getting paid and acknowledged for their work. It’s all about big companies doing deals with each other to control our information environment and capture more consumer spending. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable sources.
Amazon has been accused of using “intrusive algorithms” as part of a sweeping surveillance program to monitor and deter union organizing activities. Workers at a warehouse run by the technology giant on the outskirts of St Louis, Missouri, are today filing an unfair labor practice charge with the National Labor Relations Board (NLRB). A copy of the charge ... alleges that Amazon has “maintained intrusive algorithms and other workplace controls and surveillance which interfere with Section 7 rights of employees to engage in protected concerted activity”. There have been several reports of Amazon surveilling workers over union organizing and activism, including human resources monitoring employee message boards, software to track union threats and job listings for intelligence analysts to monitor “labor organizing threats”. Artificial intelligence can be used by warehouse employers like Amazon “to essentially have 24/7 unregulated and algorithmically processed and recorded video, and often audio data of what their workers are doing all the time”, said Seema N Patel ... at Stanford Law School. “It enables employers to control, record, monitor and use that data to discipline hundreds of thousands of workers in a way that no human manager or group of managers could even do.” The National Labor Relations Board issued a memo in 2022 announcing its intent to protect workers from AI-enabled monitoring of labor organizing activities.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
On July 16, the S&P 500 index, one of the most widely cited benchmarks in American capitalism, reached its highest-ever market value: $47 trillion. 1.4 percent of those companies were worth more than $16 trillion, the greatest concentration of capital in the smallest number of companies in the history of the U.S. stock market. The names are familiar: Microsoft, Apple, Amazon, Nvidia, Meta, Alphabet, and Tesla. All of them, too, have made giant bets on artificial intelligence. For all their similarities, these trillion-dollar-plus companies have been grouped together under a single banner: the Magnificent Seven. In the past month, though, these giants of the U.S. economy have been faltering. A recent rout led to a collapse of $2.6 trillion in their market value. Earlier this year, Goldman Sachs issued a deeply skeptical report on the industry, calling it too expensive, too clunky, and just simply not as useful as it has been chalked up to be. “There’s not a single thing that this is being used for that’s cost-effective at this point,” Jim Covello, an influential Goldman analyst, said on a company podcast. AI is not going away, and it will surely become more sophisticated. This explains why, even with the tempering of the AI-investment thesis, these companies are still absolutely massive. When you talk with Silicon Valley CEOs, they love to roll their eyes at their East Coast skeptics. Banks, especially, are too cautious, too concerned with short-term goals, too myopic to imagine another world.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
The Ukrainian military has used AI-equipped drones mounted with explosives to fly into battlefields and strike at Russian oil refineries. American AI systems identified targets in Syria and Yemen for airstrikes earlier this year. The Israel Defense Forces used another kind of AI-enabled targeting system to label as many as 37,000 Palestinians as suspected militants during the first weeks of its war in Gaza. Growing conflicts around the world have acted as both accelerant and testing ground for AI warfare while making it even more evident how unregulated the nascent field is. The result is a multibillion-dollar AI arms race that is drawing in Silicon Valley giants and states around the world. Altogether, the US military has more than 800 active AI-related projects and requested $1.8bn worth of funding for AI in the 2024 budget alone. Many of these companies and technologies are able to operate with extremely little transparency and accountability. Defense contractors are generally protected from liability when their products accidentally do not work as intended, even when the results are deadly. The Pentagon plans to spend $1bn by 2025 on its Replicator Initiative, which aims to develop swarms of unmanned combat drones that will use artificial intelligence to seek out threats. The air force wants to allocate around $6bn over the next five years to research and development of unmanned collaborative combat aircraft, seeking to build a fleet of 1,000 AI-enabled fighter jets that can fly autonomously. The Department of Defense has also secured hundreds of millions of dollars in recent years to fund its secretive AI initiative known as Project Maven, a venture focused on technologies like automated target recognition and surveillance.
Note:Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, see concise summaries of deeply revealing news articles on AI from reliable major media sources.
Recall ... takes constant screenshots in the background while you go about your daily computer business. Microsoft’s Copilot+ machine-learning tech then scans (and “reads”) each of these screenshots in order to make a searchable database of every action performed on your computer and then stores it on the machine’s disk. “Recall is like bestowing a photographic memory on everyone who buys a Copilot+ PC,” [Microsoft marketing officer Yusuf] Mehdi said. “Anything you’ve ever seen or done, you’ll now more or less be able to find.” Charlie Stross, the sci-fi author and tech critic, called it a privacy “shit-show for any organisation that handles medical records or has a duty of legal confidentiality.” He also said: “Suddenly, every PC becomes a target for discovery during legal proceedings. Lawyers can subpoena your Recall database and search it, no longer being limited to email but being able to search for terms that came up in Teams or Slack or Signal messages, and potentially verbally via Zoom or Skype if speech-to-text is included in Recall data.” Faced with this pushback, Microsoft [announced] that Recall would be made opt-in instead of on by default, and also introducing extra security precautions – only producing results from Recall after user authentication, for example, and never decrypting data stored by the tool until after a search query. The only good news for Microsoft here is that it seems to have belatedly acknowledged that Recall has been a fiasco.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy from reliable major media sources.
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