AI News 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.
A young African American man, Randal Quran Reid, was pulled over by the state police in Georgia. He was arrested under warrants issued by Louisiana police for two cases of theft in New Orleans. The arrest warrants had been based solely on a facial recognition match, though that was never mentioned in any police document; the warrants claimed "a credible source" had identified Reid as the culprit. The facial recognition match was incorrect and Reid was released. Reid ... is not the only victim of a false facial recognition match. So far all those arrested in the US after a false match have been black. From surveillance to disinformation, we live in a world shaped by AI. The reason that Reid was wrongly incarcerated had less to do with artificial intelligence than with ... the humans that created the software and trained it. Too often when we talk of the "problem" of AI, we remove the human from the picture. We worry AI will "eliminate jobs" and make millions redundant, rather than recognise that the real decisions are made by governments and corporations and the humans that run them. We have come to view the machine as the agent and humans as victims of machine agency. Rather than seeing regulation as a means by which we can collectively shape our relationship to AI, it becomes something that is imposed from the top as a means of protecting humans from machines. It is not AI but our blindness to the way human societies are already deploying machine intelligence for political ends that should most worry us.
Note: 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.
OpenAI was created as a non-profit-making charitable trust, the purpose of which was to develop artificial general intelligence, or AGI, which, roughly speaking, is a machine that can accomplish, or surpass, any intellectual task humans can perform. It would do so, however, in an ethical fashion to benefit “humanity as a whole”. Two years ago, a group of OpenAI researchers left to start a new organisation, Anthropic, fearful of the pace of AI development at their old company. One later told a reporter that “there was a 20% chance that a rogue AI would destroy humanity within the next decade”. One may wonder about the psychology of continuing to create machines that one believes may extinguish human life. The problem we face is not that machines may one day exercise power over humans. That is speculation unwarranted by current developments. It is rather that we already live in societies in which power is exercised by a few to the detriment of the majority, and that technology provides a means of consolidating that power. For those who hold social, political and economic power, it makes sense to project problems as technological rather than social and as lying in the future rather than in the present. There are few tools useful to humans that cannot also cause harm. But they rarely cause harm by themselves; they do so, rather, through the ways in which they are exploited by humans, especially those with power.
Note: Read how AI is already being used for war, mass surveillance, and questionable facial recognition technology.
The Moderna misinformation reports, reported here for the first time, reveal what the pharmaceutical company is willing to do to shape public discourse around its marquee product. The mRNA COVID-19 vaccine catapulted the company to a $100 billion valuation. Behind the scenes, the marketing arm of the company has been working with former law enforcement officials and public health officials to monitor and influence vaccine policy. Key to this is a drug industry-funded NGO called Public Good Projects. PGP works closely with social media platforms, government agencies and news websites to confront the “root cause of vaccine hesitancy” by rapidly identifying and “shutting down misinformation.” A network of 45,000 healthcare professionals are given talking points “and advice on how to respond when vaccine misinformation goes mainstream”, according to an email from Moderna. An official training programme, developed by Moderna and PGP, alongside the American Board of Internal Medicine, [helps] healthcare workers identify medical misinformation. The online course, called the “Infodemic Training Program”, represents an official partnership between biopharma and the NGO world. Meanwhile, Moderna also retains Talkwalker which uses its “Blue Silk” artificial intelligence to monitor vaccine-related conversations across 150 million websites in nearly 200 countries. Claims are automatically deemed “misinformation” if they encourage vaccine hesitancy. As the pandemic abates, Moderna is, if anything, ratcheting up its surveillance operation.
Note: Strategies to silence and censor those who challenge mainstream narratives enable COVID vaccine pharmaceutical giants to downplay the significant, emerging health risks associated with the COVID shots. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and the disappearance of privacy from reliable major media sources.
The National Science Foundation spent millions of taxpayer dollars developing censorship tools powered by artificial intelligence that Big Tech could use “to counter misinformation online” and “advance state-of-the-art misinformation research.” House investigators on the Judiciary Committee and Select Committee on the Weaponization of Government said the NSF awarded nearly $40 million ... to develop AI tools that could censor information far faster and at a much greater scale than human beings. The University of Michigan, for instance, was awarded $750,000 from NSF to develop its WiseDex artificial intelligence tool to help Big Tech outsource the “responsibility of censorship” on social media. The release of [an] interim report follows new revelations that the Biden White House pressured Amazon to censor books about the COVID-19 vaccine and comes months after court documents revealed White House officials leaned on Twitter, Facebook, YouTube and other sites to remove posts and ban users whose content they opposed, even threatening the social media platforms with federal action. House investigators say the NSF project is potentially more dangerous because of the scale and speed of censorship that artificial intelligence could enable. “AI-driven tools can monitor online speech at a scale that would far outmatch even the largest team of ’disinformation’ bureaucrats and researchers,” House investigators wrote in the interim report.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and censorship from reliable sources.
The precise locations of the U.S. government’s high-tech surveillance towers along the U.S-Mexico border are being made public for the first time as part of a mapping project by the Electronic Frontier Foundation. While the Department of Homeland Security’s investment of more than a billion dollars into a so-called virtual wall between the U.S. and Mexico is a matter of public record, the government does not disclose where these towers are located, despite privacy concerns of residents of both countries — and the fact that individual towers are plainly visible to observers. The surveillance tower map is the result of a year’s work steered by EFF Director of Investigations Dave Maass. As border surveillance towers have multiplied across the southern border, so too have they become increasingly sophisticated, packing a panoply of powerful cameras, microphones, lasers, radar antennae, and other sensors. Companies like Anduril and Google have reaped major government paydays by promising to automate the border-watching process with migrant-detecting artificial intelligence. Opponents of these modern towers, bristling with always-watching sensors, argue the increasing computerization of border security will lead inevitably to the dehumanization of an already thoroughly dehumanizing undertaking. Nobody can say for certain how many people have died attempting to cross the U.S.-Mexico border in the recent age of militarization and surveillance. Researchers estimate that the minimum is at least 10,000 dead.
Note: As the article states, the Department of Homeland Security was "the largest reorganization of the federal government since the creation of the CIA and the Defense Department," and has resulted in U.S. taxpayers funding corrupt agendas that have led to massive human rights abuses. For more along these lines, see concise summaries of deeply revealing news articles on government corruption and the disappearance of privacy from reliable major media sources.
Over the last two years, researchers in China and the United States have begun demonstrating that they can send hidden commands that are undetectable to the human ear to Apples Siri, Amazons Alexa and Googles Assistant. Researchers have been able to secretly activate the artificial intelligence systems on smartphones and smart speakers, making them dial phone numbers or open websites. In the wrong hands, the technology could be used to unlock doors, wire money or buy stuff online - simply with music playing over the radio. A group of students from University of California, Berkeley, and Georgetown University showed in 2016 that they could hide commands in white noise played over loudspeakers and through YouTube videos to get smart devices to turn on airplane mode or open a website. This month, some of those Berkeley researchers published a research paper that went further, saying they could embed commands directly into recordings of music or spoken text. So while a human listener hears someone talking or an orchestra playing, Amazons Echo speaker might hear an instruction to add something to your shopping list. There is no American law against broadcasting subliminal messages to humans, let alone machines. The Federal Communications Commission discourages the practice as counter to the public interest, and the Television Code of the National Association of Broadcasters bans transmitting messages below the threshold of normal awareness.
Note: Read how a hacked vehicle may have resulted in journalist Michael Hastings' death in 2013. A 2015 New York Times article titled "Why Smart Objects May Be a Dumb Idea" describes other major risks in creating an "Internet of Things". Vulnerabilities like those described in the article above make it possible for anyone to spy on you with these objects, accelerating the disappearance of privacy.
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.
The center of the U.S. military-industrial complex has been shifting over the past decade from the Washington, D.C. metropolitan area to Northern California—a shift that is accelerating with the rise of artificial intelligence-based systems, according to a report published Wednesday. "Although much of the Pentagon's $886 billion budget is spent on conventional weapon systems and goes to well-established defense giants such as Lockheed Martin, RTX, Northrop Grumman, General Dynamics, Boeing, and BAE Systems, a new political economy is emerging, driven by the imperatives of big tech companies, venture capital (VC), and private equity firms," [report author Roberto J.] González wrote. "Defense Department officials have ... awarded large multibillion-dollar contracts to Microsoft, Amazon, Google, and Oracle." González found that the five largest military contracts to major tech firms between 2018 and 2022 "had contract ceilings totaling at least $53 billion combined." There's also the danger of a "revolving door" between Silicon Valley and the Pentagon as many senior government officials "are now gravitating towards defense-related VC or private equity firms as executives or advisers after they retire from public service." "Members of the armed services and civilians are in danger of being harmed by inadequately tested—or algorithmically flawed—AI-enabled technologies. By nature, VC firms seek rapid returns on investment by quickly bringing a product to market, and then 'cashing out' by either selling the startup or going public. This means that VC-funded defense tech companies are under pressure to produce prototypes quickly and then move to production before adequate testing has occurred."
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 military corruption from reliable major media sources.
U.S. citizens are being subjected to a relentless onslaught from intrusive technologies that have become embedded in the everyday fabric of our lives, creating unprecedented levels of social and political upheaval. These widely used technologies ... include social media and what Harvard professor Shoshanna Zuboff calls "surveillance capitalism"—the buying and selling of our personal info and even our DNA in the corporate marketplace. But powerful new ones are poised to create another wave of radical change. Under the mantle of the "Fourth Industrial Revolution," these include artificial intelligence or AI, the metaverse, the Internet of Things, the Internet of Bodies (in which our physical and health data is added into the mix to be processed by AI), and my personal favorite, police robots. This is a two-pronged effort involving both powerful corporations and government initiatives. These tech-based systems are operating "below the radar" and rarely discussed in the mainstream media. The world's biggest tech companies are now richer and more powerful than most countries. According to an article in PC Week in 2021 discussing Apple's dominance: "By taking the current valuation of Apple, Microsoft, Amazon, and others, then comparing them to the GDP of countries on a map, we can see just how crazy things have become… Valued at $2.2 trillion, the Cupertino company is richer than 96% of the world. In fact, only seven countries currently outrank the maker of the iPhone financially."
Note: For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption 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.
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.
In the middle of night, students at Utah’s Kings Peak high school are wide awake – taking mandatory exams. Their every movement is captured on their computer’s webcam and scrutinized by Proctorio, a surveillance company that uses artificial intelligence. Proctorio software conducts “desk scans” in an effort to catch test-takers who turn to “unauthorized resources”, “face detection” technology to ensure there isn’t anybody else in the room to help and “gaze detection” to spot anybody “looking away from the screen for an extended period of time”. Proctorio then provides visual and audio records to Kings Peak teachers with the algorithm calling particular attention to pupils whose behaviors during the test flagged them as possibly engaging in academic dishonesty. Such remote proctoring tools grew exponentially during the pandemic, particularly at US colleges and universities. K-12 schools’ use of remote proctoring tools, however, has largely gone under the radar. K-12 schools nationwide – and online-only programs in particular – continue to use tools from digital proctoring companies on students ... as young as kindergarten-aged. Civil rights activists, who contend AI proctoring tools fail to work as intended, harbor biases and run afoul of students’ constitutional protections, said the privacy and security concerns are particularly salient for young children and teens, who may not be fully aware of the monitoring or its implications. One 2021 study found that Proctorio failed to detect test-takers who had been instructed to cheat. Researchers concluded the software was “best compared to taking a placebo: it has some positive influence, not because it works but because people believe that it works, or that it might work.”
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.
In 2015, the journalist Steven Levy interviewed Elon Musk and Sam Altman, two founders of OpenAI. A galaxy of Silicon Valley heavyweights, fearful of the potential consequences of AI, created the company as a non-profit-making charitable trust with the aim of developing technology in an ethical fashion to benefit “humanity as a whole”. Musk, who stepped down from OpenAI’s board six years ago ... is now suing his former company for breach of contract for having put profits ahead of the public good and failing to develop AI “for the benefit of humanity”. In 2019, OpenAI created a for-profit subsidiary to raise money from investors, notably Microsoft. When it released ChatGPT in 2022, the model’s inner workings were kept hidden. It was necessary to be less open, Ilya Sutskever, another of OpenAI’s founders and at the time the company’s chief scientist, claimed in response to criticism, to prevent those with malevolent intent from using it “to cause a great deal of harm”. Fear of the technology has become the cover for creating a shield from scrutiny. The problems that AI poses are not existential, but social. From algorithmic bias to mass surveillance, from disinformation and censorship to copyright theft, our concern should not be that machines may one day exercise power over humans but that they already work in ways that reinforce inequalities and injustices, providing tools by which those in power can consolidate their authority.
Note: Read more about the dangers of AI in the hands of the powerful. For more along these lines, see concise summaries of deeply revealing news articles on media manipulation and the disappearance of privacy from reliable sources.
Google and a few other search engines are the portal through which several billion people navigate the internet. Many of the world’s most powerful tech companies, including Google, Microsoft, and OpenAI, have recently spotted an opportunity to remake that gateway with generative AI, and they are racing to seize it. Nearly two years after the arrival of ChatGPT, and with users growing aware that many generative-AI products have effectively been built on stolen information, tech companies are trying to play nice with the media outlets that supply the content these machines need. The start-up Perplexity ... announced revenue-sharing deals with Time, Fortune, and several other publishers. These publishers will be compensated when Perplexity earns ad revenue from AI-generated answers that cite partner content. The site does not currently run ads, but will begin doing so in the form of sponsored “related follow-up questions.” OpenAI has been building its own roster of media partners, including News Corp, Vox Media, and The Atlantic. Google has purchased the rights to use Reddit content to train future AI models, and ... appears to be the only major search engine that Reddit is permitting to surface its content. The default was once that you would directly consume work by another person; now an AI may chew and regurgitate it first, then determine what you see based on its opaque underlying algorithm. Many of the human readers whom media outlets currently show ads and sell subscriptions to will have less reason to ever visit publishers’ websites. Whether OpenAI, Perplexity, Google, or someone else wins the AI search war might not depend entirely on their software: Media partners are an important part of the equation. AI search will send less traffic to media websites than traditional search engines. The growing number of AI-media deals, then, are a shakedown. AI is scraping publishers’ content whether they want it to or not: Media companies can be chumps or get paid.
Note: The AI search war has nothing to do with journalists and content creators getting paid and acknowledged for their work. It’s all about big companies doing deals with each other to control our information environment and capture more consumer spending. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable sources.
An opaque network of government agencies and self-proclaimed anti-misinformation groups ... have repressed online speech. News publishers have been demonetized and shadow-banned for reporting dissenting views. NewsGuard, a for-profit company that scores news websites on trust and works closely with government agencies and major corporate advertisers, exemplifies the problem. NewsGuard’s core business is a misinformation meter, in which websites are rated on a scale of 0 to 100 on a variety of factors, including headline choice and whether a site publishes “false or egregiously misleading content.” Editors who have engaged with NewsGuard have found that the company has made bizarre demands that unfairly tarnish an entire site as untrustworthy for straying from the official narrative. In an email to one of its government clients, NewsGuard touted that its ratings system of websites is used by advertisers, “which will cut off revenues to fake news sites.” Internal documents ... show that the founders of NewsGuard privately pitched the firm to clients as a tool to engage in content moderation on an industrial scale, applying artificial intelligence to take down certain forms of speech. Earlier this year, Consortium News, a left-leaning site, charged in a lawsuit that NewsGuard’s serves as a proxy for the military to engage in censorship. The lawsuit brings attention to the Pentagon’s $749,387 contract with NewsGuard to identify “false narratives” regarding the war [in] Ukraine.
Note: A recent trove of whistleblower documents revealed how far the Pentagon and intelligence spy agencies are willing to go to censor alternative views, even if those views contain factual information and reasonable arguments. For more along these lines, see concise summaries of news articles on corporate corruption and media manipulation from reliable sources.
When Elon Musk gave the world a demo in August of his latest endeavor, the brain-computer interface (BCI) Neuralink, he reminded us that the lines between brain and machine are blurring quickly. It bears remembering, however, that Neuralink is, at its core, a computer — and as with all computing advancements in human history, the more complex and smart computers become, the more attractive targets they become for hackers. Our brains hold information computers don't have. A brain linked to a computer/AI such as a BCI removes that barrier to the brain, potentially allowing hackers to rush in and cause problems we can't even fathom today. Might hacking humans via BCI be the next major evolution in hacking, carried out through a dangerous combination of past hacking methods? Previous eras were defined by obstacles between hackers and their targets. However, what happens when that disconnect between humans and tech is blurred? When they're essentially one and the same? Should a computing device literally connected to the brain, as Neuralink is, become hacked, the consequences could be catastrophic, giving hackers ultimate control over someone. If Neuralink penetrates deep into the human brain with high fidelity, what might hacking a human look like? Following traditional patterns, hackers would likely target individuals with high net worths and perhaps attempt to manipulate them into wiring millions of dollars to a hacker's offshore bank account.
Note: For more on this, see an article in the UK’s Independent titled “Groundbreaking new material 'could allow artificial intelligence to merge with the human brain’.” Meanwhile, the military is talking about “human-machine symbiosis.” And Yale professor Charles Morgan describes in a military presentation how hypodermic needles can be used to alter a person’s memory and much more in this two-minute video. For more along these lines, see concise summaries of deeply revealing news articles on microchip implants from reliable major media sources.
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.
The United States’ secretive Special Operations Command is looking for companies to help create deepfake internet users so convincing that neither humans nor computers will be able to detect they are fake. Academic and private sector researchers have been engaged in a race ... to create undetectable deepfakes. The plan, mentioned in a new 76-page wish list by the Department of Defense’s Joint Special Operations Command, or JSOC, outlines advanced technologies desired for country’s most elite, clandestine military efforts. “Special Operations Forces (SOF) are interested in technologies that can generate convincing online personas for use on social media platforms, social networking sites, and other online content.” JSOC wants the ability to create online user profiles that “appear to be a unique individual that ... does not exist in the real world,” with each featuring “multiple expressions” and “Government Identification quality photos.” The document notes that “the solution should include facial & background imagery, facial & background video, and audio layers.” JSOC hopes to be able to generate “selfie video” from these fabricated humans. Each deepfake selfie will come with a matching faked background, “to create a virtual environment undetectable by social media algorithms.” A joint statement by the NSA, FBI, and CISA warned [that] the global proliferation of deepfake technology [is] a “top risk” for 2023. An April paper by the U.S. Army’s Strategic Studies Institute was similarly concerned: “Experts expect the malicious use of AI, including the creation of deepfake videos to sow disinformation to polarize societies and deepen grievances, to grow over the next decade.”
Note: Why is the Pentagon investing in advanced deepfake technology? Read about the Pentagon's secret army of 60,000 operatives who use fake online personas to manipulate public discourse. For more along these lines, see concise summaries of deeply revealing news articles on AI and media corruption from reliable major media sources.
Surveillance technologies have evolved at a rapid clip over the last two decades — as has the government’s willingness to use them in ways that are genuinely incompatible with a free society. The intelligence failures that allowed for the attacks on September 11 poured the concrete of the surveillance state foundation. The gradual but dramatic construction of this surveillance state is something that Republicans and Democrats alike are responsible for. Our country cannot build and expand a surveillance superstructure and expect that it will not be turned against the people it is meant to protect. The data that’s being collected reflect intimate details about our closely held beliefs, our biology and health, daily activities, physical location, movement patterns, and more. Facial recognition, DNA collection, and location tracking represent three of the most pressing areas of concern and are ripe for exploitation. Data brokers can use tens of thousands of data points to develop a detailed dossier on you that they can sell to the government (and others). Essentially, the data broker loophole allows a law enforcement agency or other government agency such as the NSA or Department of Defense to give a third party data broker money to hand over the data from your phone — rather than get a warrant. When pressed by the intelligence community and administration, policymakers on both sides of the aisle failed to draw upon the lessons of history.
Note: For more along these lines, see concise summaries of deeply revealing news articles on government corruption and the disappearance of privacy from reliable major media sources.
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