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.
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.
Justice Department investigators are scrutinizing the healthcare industry’s use of AI embedded in patient records that prompts doctors to recommend treatments. Prosecutors have started subpoenaing pharmaceuticals and digital health companies to learn more about generative technology’s role in facilitating anti-kickback and false claims violations, said three sources familiar with the matter.. Two of the sources—speaking anonymously to discuss ongoing investigations—said DOJ attorneys are asking general questions suggesting they still may be formulating a strategy. “I have seen” civil investigative demands “that ask questions about algorithms and prompts that are being built into EMR systems that may be resulting in care that is either in excess of what would have otherwise been rendered, or may be medically unnecessary,” said Jaime Jones, who co-leads the healthcare practice at Sidley Austin. DOJ attorneys want “to see what the result is of those tools being built into the system.” The probes bring fresh relevance to a pair of 2020 criminal settlements with Purdue Pharma and its digital records contractor, Practice Fusion, over their collusion to design automated pop-up alerts pushing doctors to prescribe addictive painkillers. The kickback scheme ... led to a $145 million penalty for Practice Fusion. Marketers from Purdue ... worked in tandem with Practice Fusion to build clinical decision alerts relying on algorithms.
Note: Read how the US opioid industry operated like a drug cartel. For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Pharma corruption from reliable major media sources.
Israel’s military has made no secret of the intensity of its bombardment of the Gaza Strip. There has, however, been relatively little attention paid to the methods used by the Israel Defense Forces (IDF) to select targets in Gaza, and to the role artificial intelligence has played in their bombing campaign. After the 11-day war in Gaza in May 2021, officials said Israel had fought its “first AI war” using machine learning and advanced computing. The latest Israel-Hamas war has provided an unprecedented opportunity for the IDF to use such tools in a much wider theatre of operations and, in particular, to deploy an AI target-creation platform called “the Gospel”, which has significantly accelerated a lethal production line of targets. In early November, the IDF said “more than 12,000” targets in Gaza had been identified by its target administration division. Aviv Kochavi, who served as the head of the IDF until January, has said the target division is “powered by AI capabilities” and includes hundreds of officers and soldiers. According to Kochavi, “once this machine was activated” in Israel’s 11-day war with Hamas in May 2021 it generated 100 targets a day. “To put that into perspective, in the past we would produce 50 targets in Gaza per year. Now, this machine produces 100 targets a single day, with 50% of them being attacked.” A separate source [said] the Gospel had allowed the IDF to run a “mass assassination factory” in which the “emphasis is on quantity and not on quality”.
Note: Read about Israel's use of AI warfare since at least 2021. For more along these lines, see concise summaries of deeply revealing news articles on war from reliable major media sources.
Ties between Silicon Valley and the Pentagon are deeper than previously known, according to thousands of previously unreported subcontracts published Wednesday. The subcontracts were obtained through open records requests by accountability nonprofit Tech Inquiry. They show that tech giants including Google, Amazon, and Microsoft have secured more than 5,000 agreements with agencies including the Department of Defense, Immigrations and Customs Enforcement, the Drug Enforcement Agency, and the FBI. Tech workers in recent years have pressured their employers to drop contracts with law enforcement and the military. Google workers revolted in 2018 after Gizmodo revealed that Google was building artificial intelligence for drone targeting through a subcontract with the Pentagon after some employees quit in protest, Google agreed not to renew the contract. Employees at Amazon and Microsoft have petitioned both companies to drop their contracts with ICE and the military. Neither company has. The newly-surfaced subcontracts ... show that the companies' connections to the Pentagon run deeper than many employees were previously aware. Tech Inquiry's research was led by Jack Poulson, a former Google researcher. "Often the high-level contract description between tech companies and the military looks very vanilla," Poulson [said]. "But only when you look at the details ... do you see the workings of how the customization from a tech company would actually be involved."
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Your neighbors’ Ring cameras film your walk to the car. Your car’s sensors, cameras and microphones record your speed, how you drive, where you’re going, who’s with you, what you say, and biological metrics such as facial expression, weight and heart rate. Your car may also collect text messages and contacts from your connected smartphone. Meanwhile, your phone continuously senses and records your communications, info about your health, what apps you’re using, and tracks your location. As you enter [a] store, its surveillance cameras identify your face and track your movements through the aisles. If you then use Apple or Google Pay to make your purchase, your phone tracks what you bought and how much you paid. All this data quickly becomes commercially available, bought and sold by data brokers. Aggregated and analyzed by artificial intelligence, the data reveals detailed, sensitive information about you that can be used to predict and manipulate your behavior, including what you buy, feel, think and do. Companies unilaterally collect data from most of your activities. This “surveillance capitalism” is often unrelated to the services device manufacturers, apps and stores are providing you. The U.S. government ... now purchases massive quantities of your information from commercial data brokers. Disclosure of documents allegedly hacked from Homeland Security reveal a massive surveillance web that has all Americans in its scope.
Note: For more along these lines, read our concise summaries of news articles on AI and the disappearance of privacy.
[Veteran journalist Katrina Manson's] new book, “Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare,” is an ... account of the ongoing reconfiguration of the U.S. armed forces for a new technological era. “Project Maven” is structured as an intellectual and professional biography of Drew Cukor, a Marine Corps intelligence officer largely responsible for ... this military transformation. Cukor insists that Maven was never supposed to be a weapon. He frequently defends the project as nothing more than an integrated data platform ... for a world made better and safer by A.I. warfare. In 2018, Google employees staged a massive walkout to protest the company’s work on a primitive iteration of the project. In the aftermath of the Google fiasco, Cukor turns to Palantir (in addition to Microsoft and Amazon) to make Maven a reality. NATO now has its own Maven contract with Palantir, and that prompted ten member nations to pursue one, too. The Maven Smart System has become a global surveillance apparatus—it can keep track of forty-nine thousand airfields all over the world—but its current work is hardly limited to intelligence provision and analysis. A “single click,” [journalist Katrina] Manson reports, “could send coordinates through a tactical data link to a specific weapons platform so that it could fire at the target.” The entire process, from target identification to target destruction, is four clicks. Officials told Manson that Maven was “accelerating operations and ‘enabling lethality’ at combat headquarters around the world.” Maven is only one part of the A.I. tool kit. Manson uncovers evidence of two clandestine killer-robot programs, one aerial and the other aquatic, which are being developed in haste. For the first time, the Pentagon’s proposed budget contained a line item for comprehensively self-directing systems. A machine can shoot, Manson reports, up to “ten times faster than an assassin.”
Note: For more, read our concise summaries of news articles on AI and military corruption.
One of the most intriguing secrets of Operation Epic Fury is how, using an “exquisite” piece of classified technology, the CIA succeeded in finding the injured airman in Iran by detecting his heartbeat, the tiniest evidence of human life concealed in a narrow crevice up a 7,000ft mountain ridge. The technology that led to the airman’s rescue by Seal Team Six commandos has been outed as a CIA “tool” called Ghost Murmur. It was reportedly developed as a highly classified “blue skies” invention by Lockheed Martin’s Skunk Works, the famous laboratory where young, brilliant scientists and engineers devote their time to finding solutions to impossible concepts. John Ratcliffe, the CIA director, hinted at the new technology in a press conference this week. “We deployed both human assets and exquisite technologies that no other intelligence service in the world possess to a daunting challenge, comparable to hunting for a single grain of sand in the middle of a desert,” Ratcliffe said. On the face of it, a futuristic magnetic sensing device ... pinpointed the missing colonel’s heartbeat across a 40-mile stretch of land. Ghost Murmur, as described, would appear to push the boundaries of physics beyond even the most exceptional human brain or computer. Intelligence sources would not confirm or deny the existence of Ghost Murmur. But reportedly the “CIA tool” relies on what is called quantum magnetometry, which can find signals of human hearts, aided by artificial intelligence to separate out all the other noises getting in the way.
Note: While it's unclear whether the Ghost Murmur tool was actually responsible for rescuing the injured soldier, this technology is not out of the realm of possibility. Since the 1960s, the CIA had already developed poison weapons capable of causing heart attacks remotely. Learn more about real-life exotic weapon technologies used by militaries around the world. For more along these lines, read our concise summaries of news articles on AI and intelligence agency corruption.
Palantir (PLTR)’s Maven artificial intelligence system will become an official program of record, Deputy Secretary of Defense Steve Feinberg said in a letter to Pentagon leaders, a move that locks in long-term use of Palantir’s weapons-targeting technology across the U.S. military. Maven is a command-and-control software platform that analyzes battlefield data and identifies targets. It is already the primary AI operating system for the U.S. military, which has carried out thousands of targeted strikes against Iran over the last three weeks. Designating Maven as a program of record will streamline its adoption across all arms of the military. The memo ordered oversight of Maven be moved from the National Geospatial Intelligence Agency to the Pentagon’s Chief Digital Artificial Intelligence Office within 30 days. Future contracting with Palantir will be handled by the Army, the letter said. Feinberg’s order is a significant win for Palantir, which has landed a growing stream of contracts with the U.S. government, including a deal announced last summer with the U.S. Army worth up to $10 billion. Those awards have helped double the company’s stock price in the past year, lifting its market value to nearly $360 billion. Maven can rapidly analyze huge amounts of data from satellites, drones, radars, sensors and intelligence reports, and use AI to automatically identify potential threats or targets.
Note: For more along these lines, read our concise summaries of news articles on AI and military corruption.
The police department in Heber City, Utah, was forced to explain why a police report software declared that an officer had somehow shapeshifted into a frog. As Salt Lake City-based Fox 13 reports, the flawed tool seems to have picked up on some unrelated background chatter to devise its fantastical fairy tale ending. “The body cam software and the AI report writing software picked up on the movie that was playing in the background, which happened to be ‘The Princess and the Frog,'” police sergeant Rick Keel told the broadcaster, referring to Disney’s 2009 musical comedy. “That’s when we learned the importance of correcting these AI-generated reports.” The department had begun testing an AI-powered software called Draft One to automatically generate police reports from body camera footage. The goal was to reduce the amount of paperwork — but considering that immense mistakes are falling through the cracks, results clearly vary. Draft One was first announced by police tech company Axon — the same firm behind the Taser, a popular electroshock weapon — last year. The software makes use of OpenAI’s GPT large language models to generate entire police reports from body camera audio. Experts quickly warned that hallucinations could fall through the cracks in these important documents. Critics also argue that the tool could be used to introduce deniability and make officers less accountable in case mistakes were to fall through the cracks.
Note: For more along these lines, read our concise summaries of news articles on AI and police corruption.
In July, US group Delta Air Lines revealed that approximately 3 percent of its domestic fare pricing is determined using artificial intelligence (AI) – although it has not elaborated on how this happens. The company said it aims to increase this figure to 20 percent by the end of this year. According to former Federal Trade Commission Chair Lina Khan ... some companies are able to use your personal data to predict what they know as your “pain point” – the maximum amount you’re willing to spend. In January, the US’s Federal Trade Commission (FTC), which regulates fair competition, reported on a surveillance pricing study it carried out in July 2024. It found that companies can collect data directly through account registrations, email sign-ups and online purchases in order to do this. Additionally, web pixels installed by intermediaries track digital signals including your IP address, device type, browser information, language preferences and “granular” website interactions such as mouse movements, scrolling patterns and video viewing behaviour. This is known as “surveillance pricing”. The FTC Surveillance Pricing report lists several ways in which consumers can protect their data. These include using private browsers to do your online shopping, opting out of consumer tracking where possible, clearing the cookies in your history or using virtual private networks (VPNs) to shield your data from being collected.
Note: For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
AI could mean fewer body bags on the battlefield — but that's exactly what terrifies the godfather of AI. Geoffrey Hinton, the computer scientist known as the "godfather of AI," said the rise of killer robots won't make wars safer. It will make conflicts easier to start by lowering the human and political cost of fighting. Hinton said ... that "lethal autonomous weapons, that is weapons that decide by themselves who to kill or maim, are a big advantage if a rich country wants to invade a poor country." "The thing that stops rich countries invading poor countries is their citizens coming back in body bags," he said. "If you have lethal autonomous weapons, instead of dead people coming back, you'll get dead robots coming back." That shift could embolden governments to start wars — and enrich defense contractors in the process, he said. Hinton also said AI is already reshaping the battlefield. "It's fairly clear it's already transformed warfare," he said, pointing to Ukraine as an example. "A $500 drone can now destroy a multimillion-dollar tank." Traditional hardware is beginning to look outdated, he added. "Fighter jets with people in them are a silly idea now," Hinton said. "If you can have AI in them, AIs can withstand much bigger accelerations — and you don't have to worry so much about loss of life." One Ukrainian soldier who works with drones and uncrewed systems [said] in a February report that "what we're doing in Ukraine will define warfare for the next decade."
Note: As law expert Dr. Salah Sharief put it, "The detached nature of drone warfare has anonymized and dehumanized the enemy, greatly diminishing the necessary psychological barriers of killing." For more, read our concise summaries of news articles on AI and warfare technology.
“Ice is just around the corner,” my friend said, looking up from his phone. A day earlier, I had met with foreign correspondents at the United Nations to explain the AI surveillance architecture that Immigration and Customs Enforcement (Ice) is using across the United States. The law enforcement agency uses targeting technologies which one of my past employers, Palantir Technologies, has both pioneered and proliferated. Technology like Palantir’s plays a major role in world events, from wars in Iran, Gaza and Ukraine to the detainment of immigrants and dissident students in the United States. Known as intelligence, surveillance, target acquisition and reconnaissance (Istar) systems, these tools, built by several companies, allow users to track, detain and, in the context of war, kill people at scale with the help of AI. They deliver targets to operators by combining immense amounts of publicly and privately sourced data to detect patterns, and are particularly helpful in projects of mass surveillance, forced migration and urban warfare. Also known as “AI kill chains”, they pull us all into a web of invisible tracking mechanisms that we are just beginning to comprehend, yet are starting to experience viscerally in the US as Ice wields these systems near our homes, churches, parks and schools. The dragnets powered by Istar technology trap more than migrants and combatants ... in their wake. They appear to violate first and fourth amendment rights.
Note: Read how Palantir helped the NSA and its allies spy on the entire planet. 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 Big Tech.
Health practitioners are becoming increasingly uneasy about the medical community making widespread use of error-prone generative AI tools. In their May 2024 research paper introducing a healthcare AI model, dubbed Med-Gemini, Google researchers showed off the AI analyzing brain scans from the radiology lab for various conditions. It identified an "old left basilar ganglia infarct," referring to a purported part of the brain — "basilar ganglia" — that simply doesn't exist in the human body. Board-certified neurologist Bryan Moore flagged the issue ... highlighting that Google fixed its blog post about the AI — but failed to revise the research paper itself. The AI likely conflated the basal ganglia, an area of the brain that's associated with motor movements and habit formation, and the basilar artery, a major blood vessel at the base of the brainstem. Google blamed the incident on a simple misspelling of "basal ganglia." It's an embarrassing reveal that underlines persistent and impactful shortcomings of the tech. In Google's search results, this can lead to headaches for users during their research and fact-checking efforts. But in a hospital setting, those kinds of slip-ups could have devastating consequences. While Google's faux pas more than likely didn't result in any danger to human patients, it sets a worrying precedent, experts argue. In a medical context, AI hallucinations could easily lead to confusion and potentially even put lives at risk.
Note: For more along these lines, read our concise summaries of news articles on AI and corruption in science.
U.S. Customs and Border Protection, flush with billions in new funding, is seeking “advanced AI” technologies to surveil urban residential areas, increasingly sophisticated autonomous systems, and even the ability to see through walls. A CBP presentation for an “Industry Day” summit with private sector vendors ... lays out a detailed wish list of tech CBP hopes to purchase. State-of-the-art, AI-augmented surveillance technologies will be central to the Trump administration’s anti-immigrant campaign, which will extend deep into the interior of the North American continent. [A] reference to AI-aided urban surveillance appears on a page dedicated to the operational needs of Border Patrol’s “Coastal AOR,” or area of responsibility, encompassing the entire southeast of the United States. “In the best of times, oversight of technology and data at DHS is weak and has allowed profiling, but in recent months the administration has intentionally further undermined DHS accountability,” explained [Spencer Reynolds, a former attorney with the Department of Homeland Security]. “Artificial intelligence development is opaque, even more so when it relies on private contractors that are unaccountable to the public — like those Border Patrol wants to hire. Injecting AI into an environment full of biased data and black-box intelligence systems will likely only increase risk and further embolden the agency’s increasingly aggressive behavior.”
Note: For more along these lines, read our concise summaries of news articles on AI and immigration enforcement corruption.
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.
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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.
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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.
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