Big Tech Media Articles
A US federal appeals court ruled last week that so-called geofence warrants violate the Fourth Amendment’s protections against unreasonable searches and seizures. Geofence warrants allow police to demand that companies such as Google turn over a list of every device that appeared at a certain location at a certain time. The US Fifth Circuit Court of Appeals ruled on August 9 that geofence warrants are “categorically prohibited by the Fourth Amendment” because “they never include a specific user to be identified, only a temporal and geographic location where any given user may turn up post-search.” In other words, they’re the unconstitutional fishing expedition that privacy and civil liberties advocates have long asserted they are. Google ... is the most frequent target of geofence warrants, vowed late last year that it was changing how it stores location data in such a way that geofence warrants may no longer return the data they once did. Legally, however, the issue is far from settled: The Fifth Circuit decision applies only to law enforcement activity in Louisiana, Mississippi, and Texas. Plus, because of weak US privacy laws, police can simply purchase the data and skip the pesky warrant process altogether. As for the appellants in the case heard by the Fifth Circuit, well, they’re no better off: The court found that the police used the geofence warrant in “good faith” when it was issued in 2018, so they can still use the evidence they obtained.
Note: Read more about the rise of geofence warrants and its threat to privacy rights. 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.
Data breaches are a seemingly endless scourge with no simple answer, but the breach in recent months of the background-check service National Public Data illustrates just how dangerous and intractable they have become. In April, a hacker known for selling stolen information, known as USDoD, began hawking a trove of data on cybercriminal forums for $3.5 million that they said included 2.9 billion records and impacted “the entire population of USA, CA and UK.” As the weeks went on, samples of the data started cropping up as other actors and legitimate researchers worked to understand its source and validate the information. By early June, it was clear that at least some of the data was legitimate and contained information like names, emails, and physical addresses in various combinations. When information is stolen from a single source, like Target customer data being stolen from Target, it's relatively straightforward to establish that source. But when information is stolen from a data broker and the company doesn't come forward about the incident, it's much more complicated to determine whether the information is legitimate and where it came from. Typically, people whose data is compromised in a breach—the true victims—aren’t even aware that National Public Data held their information in the first place. Every trove of information that attackers can get their hands on ultimately fuels scamming, cybercrime, and espionage.
Note: Clearview AI scraped billions of faces off of social media without consent. At least 600 law enforcement agencies were tapping into its database of 3 billion facial images. During this time, Clearview 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 to hackers.
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 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.
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.
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.
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.
The bedrock of Google’s empire sustained a major blow on Monday after a judge found its search and ad businesses violated antitrust law. The ruling, made by the District of Columbia's Judge Amit Mehta, sided with the US Justice Department and a group of states in a set of cases alleging the tech giant abused its dominance in online search. "Google is a monopolist, and it has acted as one to maintain its monopoly," Mehta wrote in his ruling. The findings, if upheld, could outlaw contracts that for years all but assured Google's dominance. Judge Mehta ruled that Google violated antitrust law in the markets for "general search" and "general search text" ads, which are the ads that appear at the top of the search results page. Apple, Amazon, and Meta are defending themselves against a series of other federal- and state-led antitrust suits, some of which make similar claims. Google’s disputed behavior revolved around contracts it entered into with manufacturers of computer devices and mobile devices, as well as with browser services, browser developers, and wireless carriers. These contracts, the government claimed, violated antitrust laws because they made Google the mandatory default search provider. Companies that entered into those exclusive contracts have included Apple, LG, Samsung, AT&T, T-Mobile, Verizon, and Mozilla. Those deals are why smartphones ... come preloaded with Google's various apps.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech 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.
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.
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.
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.
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.
Jonathan Haidt is a man with a mission ... to alert us to the harms that social media and modern parenting are doing to our children. His latest book, The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness ... writes of a “tidal wave” of increases in mental illness and distress beginning around 2012. Young adolescent girls are hit hardest, but boys are in pain, too. He sees two factors that have caused this. The first is the decline of play-based childhood caused by overanxious parenting, which allows children fewer opportunities for unsupervised play and restricts their movement. The second factor is the ubiquity of smartphones and the social media apps that thrive upon them. The result is the “great rewiring of childhood” of his book’s subtitle and an epidemic of mental illness and distress. You don’t have to be a statistician to know that ... Instagram is toxic for some – perhaps many – teenage girls. Ever since Frances Haugen’s revelations, we have known that Facebook itself knew that 13% of British teenage girls said that their suicidal thoughts became more frequent after starting on Instagram. And the company’s own researchers found that 32% of teen girls said that when they felt bad about their bodies, Instagram made them feel worse. These findings might not meet the exacting standards of the best scientific research, but they tell you what you need to know.
Note: For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and mental health from reliable major media sources.
After government officials like former White House advisers Rob Flaherty and Andy Slavitt repeatedly harangued platforms such as Facebook to censor Americans who contested the government’s narrative on COVID-19 vaccines, Missouri and Louisiana sued. They claimed that the practice violates the First Amendment. Following years of litigation, the Supreme Court threw cold water on their efforts, ruling in Murthy v. Missouri that states and the individual plaintiffs lacked standing to sue the government for its actions. The government often disguised its censorship requests by coordinating with ostensibly “private” civil society groups to pressure tech companies to remove or shadow ban targeted content. According to the U.S. House Weaponization Committee’s November 2023 interim report, the Cybersecurity and Infrastructure Security Agency requested that the now-defunct Stanford Internet Observatory create a public-private partnership to counter election “misinformation” in 2020. This consortium of government and private entities took the form of the Election Integrity Partnership (EIP). EIP’s “private” civil society partners then forwarded the flagged content to Big Tech platforms like Facebook, YouTube, TikTok and Twitter. These “private” groups ... receive millions of taxpayer dollars from the National Science Foundation, the State Department and the U.S Department of Justice. Legislation like the COLLUDE Act would ... clarify that Section 230 does not apply when platforms censor legal speech “as a result of a communication” from a “governmental entity” or from an non-profit “acting at the request or behest of a governmental entity.”
Note: For more along these lines, see concise summaries of deeply revealing news articles on censorship and government corruption from reliable sources.
A little-known advertising cartel that controls 90% of global marketing spending supported efforts to defund news outlets and platforms including The Post — at points urging members to use a blacklist compiled by a shadowy government-funded group that purports to guard news consumers against “misinformation.” The World Federation of Advertisers (WFA), which reps 150 of the world’s top companies — including ExxonMobil, GM, General Mills, McDonald’s, Visa, SC Johnson and Walmart — and 60 ad associations sought to squelch online free speech through its Global Alliance for Responsible Media (GARM) initiative, the House Judiciary Committee found. “The extent to which GARM has organized its trade association and coordinates actions that rob consumers of choices is likely illegal under the antitrust laws and threatens fundamental American freedoms,” the Republican-led panel said in its 39-page report. The new report establishes links between the WFA’s “responsible media” initiative and the taxpayer-funded Global Disinformation Index (GDI), a London-based group that in 2022 unveiled an ad blacklist of 10 news outlets whose opinion sections tilted conservative or libertarian, including The Post, RealClearPolitics and Reason magazine. Internal communications suggest that rather than using an objective rubric to guide decisions, GARM members simply monitored disfavored outlets closely to be able to find justification to demonetize them.
Note: For more along these lines, see concise summaries of deeply revealing news articles on censorship and media manipulation from reliable 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.
OnlyFans makes reassuring promises to the public: It’s strictly adults-only, with sophisticated measures to monitor every user, vet all content and swiftly remove and report any child sexual abuse material. Reuters documented 30 complaints in U.S. police and court records that child sexual abuse material appeared on the site between December 2019 and June 2024. The case files examined by the news organization cited more than 200 explicit videos and images of kids, including some adults having oral sex with toddlers. In one case, multiple videos of a minor remained on OnlyFans for more than a year, according to a child exploitation investigator who found them while assisting Reuters. OnlyFans “presents itself as a platform that provides unrivaled access to influencers, celebrities and models,” said Elly Hanson, a clinical psychologist and researcher who focuses on preventing sexual abuse and reducing its impact. “This is an attractive mix to many teens, who are pulled into its world of commodified sex, unprepared for what this entails.” In 2021 ... 102 Republican and Democratic members of the U.S. House of Representatives called on the Justice Department to investigate child sexual abuse on OnlyFans. The Justice Department told the lawmakers three months later that it couldn’t confirm or deny it was investigating OnlyFans. Contacted recently, a department spokesperson declined to comment further.
Note: For more along these lines, see concise summaries of deeply revealing news articles on sexual abuse scandals from reliable major media sources.
Venture capital and military startup firms in Silicon Valley have begun aggressively selling a version of automated warfare that will deeply incorporate artificial intelligence (AI). This surge of support for emerging military technologies is driven by the ultimate rationale of the military-industrial complex: vast sums of money to be made. Untold billions of dollars of private money now pouring into firms seeking to expand the frontiers of techno-war. According to the New York Times, $125 billion over the past four years. Whatever the numbers, the tech sector and its financial backers sense that there are massive amounts of money to be made in next-generation weaponry and aren’t about to let anyone stand in their way. Meanwhile, an investigation by Eric Lipton of the New York Times found that venture capitalists and startup firms already pushing the pace on AI-driven warfare are also busily hiring ex-military and Pentagon officials to do their bidding. Former Google CEO Eric Schmidt [has] become a virtual philosopher king when it comes to how new technology will reshape society. [Schmidt] laid out his views in a 2021 book modestly entitled The Age of AI and Our Human Future, coauthored with none other than the late Henry Kissinger. Schmidt is aware of the potential perils of AI, but he’s also at the center of efforts to promote its military applications. AI is coming, and its impact on our lives, whether in war or peace, is likely to stagger the imagination.
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.
Twenty years ago, FedEx established its own police force. Now it's working with local police to build out an AI car surveillance network. The shipping and business services company is using AI tools made by Flock Safety, a $4 billion car surveillance startup, to monitor its distribution and cargo facilities across the United States. As part of the deal, FedEx is providing its Flock surveillance feeds to law enforcement, an arrangement that Flock has with at least four multi-billion dollar private companies. Some local police departments are also sharing their Flock feeds with FedEx — a rare instance of a private company availing itself of a police surveillance apparatus. Such close collaboration has the potential to dramatically expand Flock’s car surveillance network, which already spans 4,000 cities across over 40 states and some 40,000 cameras that track vehicles by license plate, make, model, color and other identifying characteristics, like dents or bumper stickers. Jay Stanley ... at the American Civil Liberties Union, said it was “profoundly disconcerting” that FedEx was exchanging data with law enforcement as part of Flock’s “mass surveillance” system. “It raises questions about why a private company ... would have privileged access to data that normally is only available to law enforcement,” he said. Forbes previously found that [Flock] had itself likely broken the law across various states by installing cameras without the right permits.
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.
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