AI Media Articles
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.
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.
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.
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.
A growing number of supermarkets in Alabama, Oklahoma, and Texas are selling bullets by way of AI-powered vending machines, as first reported by Alabama's Tuscaloosa Thread. The company behind the machines, a Texas-based venture dubbed American Rounds, claims on its website that its dystopian bullet kiosks are outfitted with "built-in AI technology" and "facial recognition software," which allegedly allow the devices to "meticulously verify the identity and age of each buyer." As showcased in a promotional video, using one is an astoundingly simple process: walk up to the kiosk, provide identification, and let a camera scan your face. If its embedded facial recognition tech says you are in fact who you say you are, the automated machine coughs up some bullets. According to American Rounds, the main objective is convenience. Its machines are accessible "24/7," its website reads, "ensuring that you can buy ammunition on your own schedule, free from the constraints of store hours and long lines." Though officials in Tuscaloosa, where two machines have been installed, [said] that the devices are in full compliance with the Bureau of Alcohol, Tobacco, Firearms and Explosives' standards ... at least one of the devices has been taken down amid a Tuscaloosa city council investigation into its legal standing. "We have over 200 store requests for AARM [Automated Ammo Retail Machine] units covering approximately nine states currently," [American Rounds CEO Grant Magers] told Newsweek, "and that number is growing daily."
Note: Facial recognition technology is far from reliable. For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence 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.
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.
The Pentagon is turning to a new class of weapons to fight the numerically superior [China's] People’s Liberation Army: drones, lots and lots of drones. In August 2023, the Defense Department unveiled Replicator, its initiative to field thousands of “all-domain, attritable autonomous (ADA2) systems”: Pentagon-speak for low-cost (and potentially AI-driven) machines — in the form of self-piloting ships, large robot aircraft, and swarms of smaller kamikaze drones — that they can use and lose en masse to overwhelm Chinese forces. For the last 25 years, uncrewed Predators and Reapers, piloted by military personnel on the ground, have been killing civilians across the planet. Experts worry that mass production of new low-cost, deadly drones will lead to even more civilian casualties. Advances in AI have increasingly raised the possibility of robot planes, in various nations’ arsenals, selecting their own targets. During the first 20 years of the war on terror, the U.S. conducted more than 91,000 airstrikes ... and killed up to 48,308 civilians, according to a 2021 analysis. “The Pentagon has yet to come up with a reliable way to account for past civilian harm caused by U.S. military operations,” [Columbia Law’s Priyanka Motaparthy] said. “So the question becomes, ‘With the potential rapid increase in the use of drones, what safeguards potentially fall by the wayside? How can they possibly hope to reckon with future civilian harm when the scale becomes so much larger?’”
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, read our concise summaries of news articles on military corruption.
Edward Snowden wrote on social media to his nearly 6 million followers, "Do not ever trust @OpenAI ... You have been warned," following the appointment of retired U.S. Army General Paul Nakasone to the board of the artificial intelligence technology company. Snowden, a former National Security Agency (NSA) subcontractor, was charged with espionage by the Justice Department in 2013 after leaking thousands of top-secret records, exposing the agency's surveillance of private citizens' information. In a Friday morning post on X, formerly Twitter, Snowden reshared a post providing information on OpenAI's newest board member. Nakasone is a former NSA director, and the longest-serving leader of the U.S. Cyber Command and chief of the Central Security Service. In [a] statement, Nakasone said, "OpenAI's dedication to its mission aligns closely with my own values and experience in public service. I look forward to contributing to OpenAI's efforts to ensure artificial general intelligence is safe and beneficial to people around the world." Snowden wrote in an X post, "They've gone full mask-off: do not ever trust @OpenAI or its products (ChatGPT etc.) There is only one reason for appointing an @NSAGov Director to your board. This is a willful, calculated betrayal of the rights of every person on Earth." Snowden's post has received widespread attention, with nearly 2 million views, 43,500 likes, 16,000 reposts and around 1,000 comments as of Friday afternoon.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and intelligence agency corruption from reliable major media sources.
OpenAI on Thursday announced its newest board member: Paul M. Nakasone, a retired U.S. Army general and former director of the National Security Agency. Nakasone was the longest-serving leader of the U.S. Cyber Command and chief of the Central Security Service. The company said Nakasone will also join OpenAI’s recently created Safety and Security Committee. The committee is spending 90 days evaluating the company’s processes and safeguards before making recommendations to the board and, eventually, updating the public, OpenAI said. OpenAI is bolstering its board and its C-suite as its large language models gain importance across the tech sector and as competition rapidly emerges in the burgeoning generative artificial intelligence market. While the company has been in hyper-growth mode since late 2022, when it launched ChatGPT, OpenAI has also been riddled with controversy and high-level employee departures. The company said Sarah Friar, previously CEO of Nextdoor and finance chief at Square, is joining as chief financial officer. OpenAI also hired Kevin Weil, an ex-president at Planet Labs, as its new chief product officer. Weil was previously a senior vice president at Twitter and a vice president at Facebook and Instagram. Weil’s product team will focus on “applying our research to products and services that benefit consumers, developers, and businesses,” the company wrote.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and intelligence agency corruption from reliable major media sources.
"Agency intervention is necessary to stop the existential threat Google poses to original content creators," the News/Media Alliance—a major news industry trade group—wrote in a letter to the Department of Justice (DOJ) and the Federal Trade Commission (FTC). It asked the agencies to use antitrust authority "to stop Google's latest expansion of AI Overviews," a search engine innovation that Google has been rolling out recently. Overviews offer up short, AI-generated summaries paired with brief bits of text from linked websites. Overviews give "comprehensive answers without the user ever having to click to another page," the The New York Times warns. And this worries websites that rely on Google to drive much of their traffic. "It potentially chokes off the original creators of the content," Frank Pine, executive editor of MediaNews Group and Tribune Publishing (owner of 68 daily newspapers), told the Times. Media websites have gotten used to Google searches sending them a certain amount of traffic. But that doesn't mean Google is obligated to continue sending them that same amount of traffic forever. It is possible that Google's pivot to AI was hastened by how hostile news media has been to tech companies. We've seen publishers demanding that search engines and social platforms pay them for the privilege of sharing news links, even though this arrangement benefits publications (arguably more than it does tech companies) by driving traffic.
Note: For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence controversies from reliable major media sources.
Once upon a time, Google was great. They intensively monitored what people searched for, and then used that information continually to improve the engine’s performance. Their big idea was that the information thus derived had a commercial value; it indicated what people were interested in and might therefore be of value to advertisers who wanted to sell them stuff. Thus was born what Shoshana Zuboff christened “surveillance capitalism”, the dominant money machine of the networked world. The launch of generative AIs such as ChatGPT clearly took Google by surprise, which is odd given that the company had for years been working on the technology. The question became: how will Google respond to the threat? Now we know: it’s something called AI overviews, in which an increasing number of search queries are initially answered by AI-generated responses. Users have been told that glue is useful for ensuring that cheese sticks to pizza, that they could stare at the sun for for up to 30 minutes, and that geologists suggest eating one rock per day. There’s a quaint air of desperation in the publicity for this sudden pivot from search engine to answerbot. The really big question about the pivot, though, is what its systemic impact on the link economy will be. Already, the news is not great. Gartner, a market-research consultancy, for example, predicts that search engine volume will drop 25% by 2026 owing to AI chatbots and other virtual agents.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Sara needed some chocolate - she had had one of those days - so wandered into a Home Bargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara ... was wrongly accused after being flagged by a facial-recognition system called Facewatch. She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology. Facewatch later wrote to Sara and acknowledged it had made an error. Facewatch is used in numerous stores in the UK. It's not just retailers who are turning to the technology. On the day we were filming, the Metropolitan Police said they made six arrests with the assistance of the tech. 192 arrests have been made so far this year as a result of it. But civil liberty groups are worried that its accuracy is yet to be fully established, and point to cases such as Shaun Thompson's. Mr Thompson, who works for youth-advocacy group Streetfathers, didn't think much of it when he walked by a white van near London Bridge. Within a few seconds, he was approached by police and told he was a wanted man. But it was a case of mistaken identity. "It felt intrusive ... I was treated guilty until proven innocent," he says. Silkie Carlo, director of Big Brother Watch, has filmed the police on numerous facial-recognition deployments. She says that anyone's face who is scanned is effectively part of a digital police line-up.
Note: For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence controversies from reliable major media sources.
Ask Google if cats have been on the moon and it used to spit out a ranked list of websites so you could discover the answer for yourself. Now it comes up with an instant answer generated by artificial intelligence - which may or may not be correct. “Yes, astronauts have met cats on the moon, played with them, and provided care,” said Google’s newly retooled search engine. It added: “For example, Neil Armstrong said, ‘One small step for man’ because it was a cat’s step. Buzz Aldrin also deployed cats on the Apollo 11 mission.” None of this is true. Similar errors — some funny, others harmful falsehoods — have been shared on social media since Google this month unleashed AI overviews, a makeover of its search page that frequently puts the summaries on top of search results. It’s hard to reproduce errors made by AI language models — in part because they’re inherently random. They work by predicting what words would best answer the questions asked of them based on the data they’ve been trained on. They’re prone to making things up — a widely studied problem known as hallucination. Another concern was a deeper one — that ceding information retrieval to chatbots was degrading the serendipity of human search for knowledge, literacy about what we see online, and the value of connecting in online forums with other people who are going through the same thing.Those forums and other websites count on Google sending people to them, but Google’s new AI overviews threaten to disrupt the flow of money-making internet traffic.
Note: Read more about the potential dangers of Google's new AI tool. For more along these lines, see concise summaries of deeply revealing news articles on artificial intelligence controversies from reliable major media 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.
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.
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.
As cities and states push to restrict the use of facial recognition technologies, some police departments have quietly found a way to keep using the controversial tools: asking for help from other law enforcement agencies that still have access. Officers in Austin and San Francisco — two of the largest cities where police are banned from using the technology — have repeatedly asked police in neighboring towns to run photos of criminal suspects through their facial recognition programs. In San Francisco, the workaround didn’t appear to help. Since the city’s ban took effect in 2019, the San Francisco Police Department has asked outside agencies to conduct at least five facial recognition searches, but no matches were returned. SFPD spokesman Evan Sernoffsky said these requests violated the city ordinance and were not authorized by the department, but the agency faced no consequences from the city. Austin police officers have received the results of at least 13 face searches from a neighboring police department since the city’s 2020 ban — and have appeared to get hits on some of them. Facial recognition ... technology has played a role in the wrongful arrests of at least seven innocent Americans, six of whom were Black, according to lawsuits each of these people filed after the charges against them were dismissed. In all, 21 cities or counties and Vermont have voted to prohibit the use of facial recognition tools by law enforcement.
Note: Crime is increasing in many cities, leading to law enforcement agencies appropriately working to maintain public safety. Yet far too often, social justice takes a backseat while those in authority violate human rights. For more along these lines, see concise summaries of deeply revealing news articles on police corruption and artificial intelligence from reliable major media sources.
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