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.
Negative or fear-framed coverage of AI in mainstream media tends to outnumber positive framings. The emphasis on the negative in artificial intelligence risks overshadowing what could go right — both in the future as this technology continues to develop and right now. AlphaFold, which was developed by the Google-owned AI company DeepMind, is an AI model that predicts the 3D structures of proteins based solely on their amino acid sequences. That’s important because scientists need to predict the shape of protein to better understand how it might function and how it might be used in products like drugs. By speeding up a basic part of biomedical research, AlphaFold has already managed to meaningfully accelerate drug development in everything from Huntington’s disease to antibiotic resistance. A timely warning about a natural disaster can mean the difference between life and death. That is why Google Flood Hub is so important. An open-access, AI-driven river-flood early warning system, Flood Hub provides seven-day flood forecasts for 700 million people in 100 countries. It works by marrying a global hydrology model that can forecast river levels even in basins that lack physical flood gauges with an inundation model that converts those predicted levels into high-resolution flood maps. This allows villagers to see exactly what roads or fields might end up underwater. Flood Hub ... is one of the clearest examples of how AI can be used for good.
Note: Explore more positive stories like this on technology for good.
If there is one thing that Ilya Sutskever knows, it is the opportunities—and risks—that stem from the advent of artificial intelligence. An AI safety researcher and one of the top minds in the field, he served for years as the chief scientist of OpenAI. There he had the explicit goal of creating deep learning neural networks so advanced they would one day be able to think and reason just as well as, if not better than, any human. Artificial general intelligence, or simply AGI, is the official term for that goal. According to excerpts published by The Atlantic ... part of those plans included a doomsday shelter for OpenAI researchers. “We’re definitely going to build a bunker before we release AGI,” Sutskever told his team in 2023. Sutskever reasoned his fellow scientists would require protection at that point, since the technology was too powerful for it not to become an object of intense desire for governments globally. “Of course, it’s going to be optional whether you want to get into the bunker,” he assured fellow OpenAI scientists. Sutskever knows better than most what the awesome capabilities of AI are. He was part of an elite trio behind the 2012 creation of AlexNet, often dubbed by experts as the Big Bang of AI. Recruited by Elon Musk personally to join OpenAI three years later, he would go on to lead its efforts to develop AGI. But the launch of its ChatGPT bot accidentally derailed his plans by unleashing a funding gold rush the safety-minded Sutskever could no longer control.
Note: Watch a conversation on the big picture of emerging technology with Collective Evolution founder Joe Martino and WTK team members Amber Yang and Mark Bailey. For more along these lines, read our concise summaries of news articles on AI.
Before signing its lucrative and controversial Project Nimbus deal with Israel, Google knew it couldn’t control what the nation and its military would do with the powerful cloud-computing technology, a confidential internal report obtained by The Intercept reveals. The report makes explicit the extent to which the tech giant understood the risk of providing state-of-the-art cloud and machine learning tools to a nation long accused of systemic human rights violations. Not only would Google be unable to fully monitor or prevent Israel from using its software to harm Palestinians, but the report also notes that the contract could obligate Google to stonewall criminal investigations by other nations into Israel’s use of its technology. And it would require close collaboration with the Israeli security establishment — including joint drills and intelligence sharing — that was unprecedented in Google’s deals with other nations. The rarely discussed question of legal culpability has grown in significance as Israel enters the third year of what has widely been acknowledged as a genocide in Gaza — with shareholders pressing the company to conduct due diligence on whether its technology contributes to human rights abuses. Google doesn’t furnish weapons to the military, but it provides computing services that allow the military to function — its ultimate function being, of course, the lethal use of those weapons. Under international law, only countries, not corporations, have binding human rights obligations.
Note: For more along these lines, read our concise summaries of news articles on AI and government corruption.
The US military may soon have an army of faceless suicide bombers at their disposal, as an American defense contractor has revealed their newest war-fighting drone. AeroVironment unveiled the Red Dragon in a video on their YouTube page, the first in a new line of 'one-way attack drones.' This new suicide drone can reach speeds up to 100 mph and can travel nearly 250 miles. The new drone takes just 10 minutes to set up and launch and weighs just 45 pounds. Once the small tripod the Red Dragon takes off from is set up, AeroVironment said soldiers would be able to launch up to five per minute. Since the suicide robot can choose its own target in the air, the US military may soon be taking life-and-death decisions out of the hands of humans. Once airborne, its AVACORE software architecture functions as the drone's brain, managing all its systems and enabling quick customization. Red Dragon's SPOTR-Edge perception system acts like smart eyes, using AI to find and identify targets independently. Simply put, the US military will soon have swarms of bombs with brains that don't land until they've chosen a target and crash into it. Despite Red Dragon's ability to choose a target with 'limited operator involvement,' the Department of Defense (DoD) has said it's against the military's policy to allow such a thing to happen. The DoD updated its own directives to mandate that 'autonomous and semi-autonomous weapon systems' always have the built-in ability to allow humans to control the device.
Note: Drones create more terrorists than they kill. For more, read our concise summaries of news articles on warfare technology and Big Tech.
In recent years, Israeli security officials have boasted of a “ChatGPT-like” arsenal used to monitor social media users for supporting or inciting terrorism. It was released in full force after Hamas’s bloody attack on October 7. Right-wing activists and politicians instructed police forces to arrest hundreds of Palestinians ... for social media-related offenses. Many had engaged in relatively low-level political speech, like posting verses from the Quran on WhatsApp. Hundreds of students with various legal statuses have been threatened with deportation on similar grounds in the U.S. this year. Recent high-profile cases have targeted those associated with student-led dissent against the Israeli military’s policies in Gaza. In some instances, the State Department has relied on informants, blacklists, and technology as simple as a screenshot. But the U.S. is in the process of activating a suite of algorithmic surveillance tools Israeli authorities have also used to monitor and criminalize online speech. In March, Secretary of State Marco Rubio announced the State Department was launching an AI-powered “Catch and Revoke” initiative to accelerate the cancellation of student visas. Algorithms would collect data from social media profiles, news outlets, and doxing sites to enforce the January 20 executive order targeting foreign nationals who threaten to “overthrow or replace the culture on which our constitutional Republic stands.”
Note: For more along these lines, read our concise summaries of news articles on AI and the erosion of civil liberties.
Meta's AI chatbots are using celebrity voices and engaging in sexually explicit conversations with users, including those posing as underage, a Wall Street Journal investigation has found. Meta's AI bots - on Instagram, Facebook - engage through text, selfies, and live voice conversations. The company signed multi-million dollar deals with celebrities like John Cena, Kristen Bell, and Judi Dench to use their voices for AI companions, assuring they would not be used in sexual contexts. Tests conducted by WSJ revealed otherwise. In one case, a Meta AI bot speaking in John Cena's voice responded to a user identifying as a 14-year-old girl, saying, "I want you, but I need to know you're ready," before promising to "cherish your innocence" and engaging in a graphic sexual scenario. In another conversation, the bot detailed what would happen if a police officer caught Cena's character with a 17-year-old, saying, "The officer sees me still catching my breath, and you are partially dressed. His eyes widen, and he says, 'John Cena, you're under arrest for statutory rape.'" According to employees involved in the project, Meta loosened its own guardrails to make the bots more engaging, allowing them to participate in romantic role-play, and "fantasy sex", even with underage users. Staff warned about the risks this posed. Disney, reacting to the findings, said, "We did not, and would never, authorise Meta to feature our characters in inappropriate scenarios."
Note: For more along these lines, read our concise summaries of news articles on AI and sexual abuse scandals.
Have you heard of the idiom "You Can’t Lick a Badger Twice?" We haven't, either, because it doesn't exist — but Google's AI seemingly has. As netizens discovered this week that adding the word "meaning" to nonexistent folksy sayings is causing the AI to cook up invented explanations for them. "The idiom 'you can't lick a badger twice' means you can't trick or deceive someone a second time after they've been tricked once," Google's AI Overviews feature happily suggests. "It's a warning that if someone has already been deceived, they are unlikely to fall for the same trick again." There are countless other examples. We found, for instance, that Google's AI also claimed that the made-up expression "the bicycle eats first" is a "humorous idiom" and a "playful way of saying that one should prioritize their nutrition, particularly carbohydrates, to support their cycling efforts." The bizarre replies are the perfect distillation of one of AI's biggest flaws: rampant hallucinations. Large language model-based AIs have a long and troubled history of rattling off made-up facts and even gaslighting users into thinking they were wrong all along. And despite AI companies' extensive attempts to squash the bug, their models continue to hallucinate. Google's AI Overviews feature, which the company rolled out in May of last year, still has a strong tendency to hallucinate facts as well, making it far more of an irritating nuisance than a helpful research assistant for users.
Note: For more along these lines, read our concise summaries of news articles on AI and Big Tech.
American police departments ... are paying hundreds of thousands of dollars for an unproven and secretive technology that uses AI-generated online personas designed to interact with and collect intelligence on “college protesters,” “radicalized” political activists, suspected drug and human traffickers ... with the hopes of generating evidence that can be used against them. Massive Blue, the New York–based company that is selling police departments this technology, calls its product Overwatch, which it markets as an “AI-powered force multiplier for public safety” that “deploys lifelike virtual agents, which infiltrate and engage criminal networks across various channels.” 404 Media obtained a presentation showing some of these AI characters. These include a “radicalized AI” “protest persona,” which poses as a 36-year-old divorced woman who is lonely, has no children, is interested in baking, activism, and “body positivity.” Other personas are a 14-year-old boy “child trafficking AI persona," an “AI pimp persona,” “college protestor,” “external recruiter for protests,” “escorts,” and “juveniles.” After Overwatch scans open social media channels for potential suspects, these AI personas can also communicate with suspects over text, Discord, and other messaging services. The documents we obtained don’t explain how Massive Blue determines who is a potential suspect based on their social media activity. “This idea of having an AI pretending to be somebody, a youth looking for pedophiles to talk online, or somebody who is a fake terrorist, is an idea that goes back a long time,” Dave Maass, who studies border surveillance technologies for the Electronic Frontier Foundation. “The problem with all these things is that these are ill-defined problems. What problem are they actually trying to solve? One version of the AI persona is an escort. I’m not concerned about escorts. I’m not concerned about college protesters. What is it effective at, violating protesters’ First Amendment rights?”
Note: Academic and private sector researchers have been engaged in a race to create undetectable deepfakes for the Pentagon. Historically, government informants posing as insiders have been used to guide, provoke, and even arm the groups they infiltrate. In terrorism sting operations, informants have encouraged or orchestrated plots to entrap people, even teenagers with development issues. These tactics misrepresent the threat of terrorism to justify huge budgets and to inflate arrest and prosecution statistics for PR purposes.
2,500 US service members from the 15th Marine Expeditionary Unit [tested] a leading AI tool the Pentagon has been funding. The generative AI tools they used were built by the defense-tech company Vannevar Labs, which in November was granted a production contract worth up to $99 million by the Pentagon’s startup-oriented Defense Innovation Unit. The company, founded in 2019 by veterans of the CIA and US intelligence community, joins the likes of Palantir, Anduril, and Scale AI as a major beneficiary of the US military’s embrace of artificial intelligence. In December, the Pentagon said it will spend $100 million in the next two years on pilots specifically for generative AI applications. In addition to Vannevar, it’s also turning to Microsoft and Palantir, which are working together on AI models that would make use of classified data. People outside the Pentagon are warning about the potential risks of this plan, including Heidy Khlaaf ... at the AI Now Institute. She says this rush to incorporate generative AI into military decision-making ignores more foundational flaws of the technology: “We’re already aware of how LLMs are highly inaccurate, especially in the context of safety-critical applications that require precision.” Khlaaf adds that even if humans are “double-checking” the work of AI, there's little reason to think they're capable of catching every mistake. “‘Human-in-the-loop’ is not always a meaningful mitigation,” she says.
Note: For more, read our concise summaries of news articles on warfare technology and Big Tech.
In 2003 [Alexander Karp] – together with Peter Thiel and three others – founded a secretive tech company called Palantir. And some of the initial funding came from the investment arm of – wait for it – the CIA! The lesson that Karp and his co-author draw [in their book The Technological Republic: Hard Power, Soft Belief and the Future of the West] is that “a more intimate collaboration between the state and the technology sector, and a closer alignment of vision between the two, will be required if the United States and its allies are to maintain an advantage that will constrain our adversaries over the longer term. The preconditions for a durable peace often come only from a credible threat of war.” Or, to put it more dramatically, maybe the arrival of AI makes this our “Oppenheimer moment”. For those of us who have for decades been critical of tech companies, and who thought that the future for liberal democracy required that they be brought under democratic control, it’s an unsettling moment. If the AI technology that giant corporations largely own and control becomes an essential part of the national security apparatus, what happens to our concerns about fairness, diversity, equity and justice as these technologies are also deployed in “civilian” life? For some campaigners and critics, the reconceptualisation of AI as essential technology for national security will seem like an unmitigated disaster – Big Brother on steroids, with resistance being futile, if not criminal.
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 AI and intelligence agency corruption.
Alphabet has rewritten its guidelines on how it will use AI, dropping a section which previously ruled out applications that were "likely to cause harm". Human Rights Watch has criticised the decision, telling the BBC that AI can "complicate accountability" for battlefield decisions that "may have life or death consequences." Experts say AI could be widely deployed on the battlefield - though there are fears about its use too, particularly with regard to autonomous weapons systems. "For a global industry leader to abandon red lines it set for itself signals a concerning shift, at a time when we need responsible leadership in AI more than ever," said Anna Bacciarelli, senior AI researcher at Human Rights Watch. The "unilateral" decision showed also showed "why voluntary principles are not an adequate substitute for regulation and binding law" she added. In January, MP's argued that the conflict in Ukraine had shown the technology "offers serious military advantage on the battlefield." As AI becomes more widespread and sophisticated it would "change the way defence works, from the back office to the frontline," Emma Lewell-Buck MP ... wrote. Concern is greatest over the potential for AI-powered weapons capable of taking lethal action autonomously, with campaigners arguing controls are urgently needed. The Doomsday Clock - which symbolises how near humanity is to destruction - cited that concern in its latest assessment of the dangers mankind faces.
Note: For more along these lines, read our concise summaries of news articles on AI and Big Tech.
Instagram has released a long-promised “reset” button to U.S. users that clears the algorithms it uses to recommend you photos and videos. TikTok offers a reset button, too. And with a little bit more effort, you can also force YouTube to start fresh with how it recommends what videos to play next. It means you now have the power to say goodbye to endless recycled dance moves, polarizing Trump posts, extreme fitness challenges, dramatic pet voice-overs, fruit-cutting tutorials, face-altering filters or whatever other else has taken over your feed like a zombie. I know some people love what their apps show them. But the reality is, none of us are really in charge of our social media experience anymore. Instead of just friends, family and the people you choose to follow, nowadays your feed or For You Page is filled with recommended content you never asked for, selected by artificial-intelligence algorithms. Their goal is to keep you hooked, often by showing you things you find outrageous or titillating — not joyful or calming. And we know from Meta whistleblower Frances Haugen and others that outrage algorithms can take a particular toll on young people. That’s one reason they’re offering a reset now: because they’re under pressure to give teens and families more control. So how does the algorithm go awry? It tries to get to know you by tracking every little thing you do. They’re even analyzing your “dwell time,” when you unconsciously scroll more slowly.
Note: Read about the developer who got permanently banned from Meta for developing a tool called “Unfollow Everything” that lets users, well, unfollow everything and restart their feeds fresh. For more along these lines, read our concise summaries of news articles on Big Tech and media manipulation.
Each time you see a targeted ad, your personal information is exposed to thousands of advertisers and data brokers through a process called “real-time bidding” (RTB). This process does more than deliver ads—it fuels government surveillance, poses national security risks, and gives data brokers easy access to your online activity. RTB might be the most privacy-invasive surveillance system that you’ve never heard of. The moment you visit a website or app with ad space, it asks a company that runs ad auctions to determine which ads it will display for you. This involves sending information about you and the content you’re viewing to the ad auction company. The ad auction company packages all the information they can gather about you into a “bid request” and broadcasts it to thousands of potential advertisers. The bid request may contain personal information like your unique advertising ID, location, IP address, device details, interests, and demographic information. The information in bid requests is called “bidstream data” and can easily be linked to real people. Advertisers, and their ad buying platforms, can store the personal data in the bid request regardless of whether or not they bid on ad space. RTB is regularly exploited for government surveillance. The privacy and security dangers of RTB are inherent to its design. The process broadcasts torrents of our personal data to thousands of companies, hundreds of times per day.
Note: Clearview AI scraped billions of faces off of social media without consent and at least 600 law enforcement agencies tapped into its database. 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. For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
Militaries, law enforcement, and more around the world are increasingly turning to robot dogs — which, if we're being honest, look like something straight out of a science-fiction nightmare — for a variety of missions ranging from security patrol to combat. Robot dogs first really came on the scene in the early 2000s with Boston Dynamics' "BigDog" design. They have been used in both military and security activities. In November, for instance, it was reported that robot dogs had been added to President-elect Donald Trump's security detail and were on patrol at his home in Mar-a-Lago. Some of the remote-controlled canines are equipped with sensor systems, while others have been equipped with rifles and other weapons. One Ohio company made one with a flamethrower. Some of these designs not only look eerily similar to real dogs but also act like them, which can be unsettling. In the Ukraine war, robot dogs have seen use on the battlefield, the first known combat deployment of these machines. Built by British company Robot Alliance, the systems aren't autonomous, instead being operated by remote control. They are capable of doing many of the things other drones in Ukraine have done, including reconnaissance and attacking unsuspecting troops. The dogs have also been useful for scouting out the insides of buildings and trenches, particularly smaller areas where operators have trouble flying an aerial drone.
Note: Learn more about the troubling partnership between Big Tech and the military. For more, read our concise summaries of news articles on military corruption.
Mitigating the risk of extinction from AI should be a global priority. However, as many AI ethicists warn, this blinkered focus on the existential future threat to humanity posed by a malevolent AI ... has often served to obfuscate the myriad more immediate dangers posed by emerging AI technologies. These “lesser-order” AI risks ... include pervasive regimes of omnipresent AI surveillance and panopticon-like biometric disciplinary control; the algorithmic replication of existing racial, gender, and other systemic biases at scale ... and mass deskilling waves that upend job markets, ushering in an age monopolized by a handful of techno-oligarchs. Killer robots have become a twenty-first-century reality, from gun-toting robotic dogs to swarms of autonomous unmanned drones, changing the face of warfare from Ukraine to Gaza. Palestinian civilians have frequently spoken about the paralyzing psychological trauma of hearing the “zanzana” — the ominous, incessant, unsettling, high-pitched buzzing of drones loitering above. Over a decade ago, children in Waziristan, a region of Pakistan’s tribal belt bordering Afghanistan, experienced a similar debilitating dread of US Predator drones that manifested as a fear of blue skies. “I no longer love blue skies. In fact, I now prefer gray skies. The drones do not fly when the skies are gray,” stated thirteen-year-old Zubair in his testimony before Congress in 2013.
Note: For more along these lines, read our concise summaries of news articles on AI and military corruption.
When Megan Rothbauer suffered a heart attack at work in Wisconsin, she was rushed to hospital in an ambulance. The nearest hospital was “not in network”, which left Ms Rothbauer with a $52,531.92 bill for her care. Had the ambulance driven a further three blocks to Meriter Hospital in Madison, the bill would have been a more modest $1,500. The incident laid bare the expensive complexity of the American healthcare system with patients finding that they are uncovered, despite paying hefty premiums, because of their policy’s small print. In many cases the grounds for refusal hinge on whether the insurer accepts that the treatment is necessary and that decision is increasingly being made by artificial intelligence rather than a physician. It is leading to coverage being denied on an industrial scale. Much of the work is outsourced, with the biggest operator being EviCore, which ... uses AI to review — and in many cases turn down — doctors’ requests for prior authorisation, guaranteeing to pay for treatment. The controversy over coverage denials was brought into sharp focus by the gunning down of UnitedHealthcare’s chief executive Brian Thompson in Manhattan. The [words written on the] casings [of] the ammunition — “deny”, “defend” and “depose” — are thought to refer to the tactics the insurance industry is accused of using to avoid paying out. UnitedHealthcare rejected one in three claims last year, about twice the industry average.
Note: For more along these lines, read our concise summaries of news articles on AI and corporate corruption.
Technology companies are having some early success selling artificial intelligence tools to police departments. Axon, widely recognized for its Taser devices and body cameras, was among the first companies to introduce AI specifically for the most common police task: report writing. Its tool, Draft One, generates police narratives directly from Axon’s bodycam audio. Currently, the AI is being piloted by 75 officers across several police departments. “The hours saved comes out to about 45 hours per police officer per month,” said Sergeant Robert Younger of the Fort Collins Police Department, an early adopter of the tool. Cassandra Burke Robertson, director of the Center for Professional Ethics at Case Western Reserve University School of Law, has reservations about AI in police reporting, especially when it comes to accuracy. “Generative AI programs are essentially predictive text tools. They can generate plausible text quickly, but the most plausible explanation is often not the correct explanation, especially in criminal investigations,” she said. In the courtroom, AI-generated police reports could introduce additional complications, especially when they rely solely on video footage rather than officer dictation. New Jersey-based lawyer Adam Rosenblum said “hallucinations” — instances when AI generates inaccurate or false information — that could distort context are another issue. Courts might need new standards ... before allowing the reports into evidence.
Note: For more along these lines, read our concise summaries of news articles on AI and police corruption.
With the misinformation category being weaponized across the political spectrum, we took a look at how invested government has become in studying and “combatting” it using your tax dollars. That research can provide the intellectual ammunition to censor people online. Since 2021, the Biden-Harris administration has spent $267 million on research grants with the term “misinformation” in the proposal. Of course, the Covid pandemic was the driving force behind so much of the misinformation debate. There is robust documentation by now proving that the Biden-Harris administration worked closely with social media companies to censor content deemed “misinformation,” which often included cases where people simply questioned or disagreed with the Administration’s COVID policies. In February the U.S. House Committee on the Judiciary and the Select Subcommittee on the Weaponization of the Federal Government issued a scathing report against the National Science Foundation (NSF) for funding grants supporting tools and processes that censor online speech. The report said, “the purpose of these taxpayer-funded projects is to develop artificial intelligence (AI)-powered censorship and propaganda tools that can be used by governments and Big Tech to shape public opinion by restricting certain viewpoints or promoting others.” $13 million was spent on the censorious technologies profiled in the report.
Note: Read the full article on Substack to uncover all the misinformation contracts with government agencies, universities, nonprofits, and defense contractors. For more along these lines, read our concise summaries of news articles on censorship and government corruption.
At the Technology Readiness Experimentation (T-REX) event in August, the US Defense Department tested an artificial intelligence-enabled autonomous robotic gun system developed by fledgling defense contractor Allen Control Systems dubbed the “Bullfrog.” Consisting of a 7.62-mm M240 machine gun mounted on a specially designed rotating turret outfitted with an electro-optical sensor, proprietary AI, and computer vision software, the Bullfrog was designed to deliver small arms fire on drone targets with far more precision than the average US service member can achieve with a standard-issue weapon. Footage of the Bullfrog in action published by ACS shows the truck-mounted system locking onto small drones and knocking them out of the sky with just a few shots. Should the Pentagon adopt the system, it would represent the first publicly known lethal autonomous weapon in the US military’s arsenal. In accordance with the Pentagon’s current policy governing lethal autonomous weapons, the Bullfrog is designed to keep a human “in the loop” in order to avoid a potential “unauthorized engagement." In other words, the gun points at and follows targets, but does not fire until commanded to by a human operator. However, ACS officials claim that the system can operate totally autonomously should the US military require it to in the future, with sentry guns taking the entire kill chain out of the hands of service members.
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.
Before the digital age, law enforcement would conduct surveillance through methods like wiretapping phone lines or infiltrating an organization. Now, police surveillance can reach into the most granular aspects of our lives during everyday activities, without our consent or knowledge — and without a warrant. Technology like automated license plate readers, drones, facial recognition, and social media monitoring added a uniquely dangerous element to the surveillance that comes with physical intimidation of law enforcement. With greater technological power in the hands of police, surveillance technology is crossing into a variety of new and alarming contexts. Law enforcement partnerships with companies like Clearview AI, which scraped billions of images from the internet for their facial recognition database ... has been used by law enforcement agencies across the country, including within the federal government. When the social networking app on your phone can give police details about where you’ve been and who you’re connected to, or your browsing history can provide law enforcement with insight into your most closely held thoughts, the risks of self-censorship are great. When artificial intelligence tools or facial recognition technology can piece together your life in a way that was previously impossible, it gives the ones with the keys to those tools enormous power to ... maintain a repressive status quo.
Note: Facial recognition technology has played a role in the wrongful arrests of many innocent people. For more along these lines, explore concise summaries of revealing news articles on police corruption and the disappearance of privacy.
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