AI News Stories
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.
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.
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.
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.
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.
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.
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.
Police departments in 15 states provided The Post with rarely seen records documenting their use of facial recognition in more than 1,000 criminal investigations over the past four years. According to the arrest reports in those cases and interviews with people who were arrested, authorities routinely failed to inform defendants about their use of the software — denying them the opportunity to contest the results of an emerging technology that is prone to error. Officers often obscured their reliance on the software in public-facing reports, saying that they identified suspects “through investigative means” or that a human source such as a witness or police officer made the initial identification. Defense lawyers and civil rights groups argue that people have a right to know about any software that identifies them as part of a criminal investigation, especially a technology that has led to false arrests. The reliability of the tool has been successfully challenged in a handful of recent court cases around the country, leading some defense lawyers to posit that police and prosecutors are intentionally trying to shield the technology from court scrutiny. Misidentification by this type of software played a role in the wrongful arrests of at least seven innocent Americans, six of whom were Black. Charges were later dismissed against all of them. Federal testing of top facial recognition software has found the programs are more likely to misidentify people of color.
Note: Read about the secret history of facial recognition. For more along these lines, see concise summaries of deeply revealing news articles on AI and police corruption from reliable major media sources.
Tech companies have outfitted classrooms across the U.S. with devices and technologies that allow for constant surveillance and data gathering. Firms such as Gaggle, Securly and Bark (to name a few) now collect data from tens of thousands of K-12 students. They are not required to disclose how they use that data, or guarantee its safety from hackers. In their new book, Surveillance Education: Navigating the Conspicuous Absence of Privacy in Schools, Nolan Higdon and Allison Butler show how all-encompassing surveillance is now all too real, and everything from basic privacy rights to educational quality is at stake. The tech industry has done a great job of convincing us that their platforms — like social media and email — are “free.” But the truth is, they come at a cost: our privacy. These companies make money from our data, and all the content and information we share online is basically unpaid labor. So, when the COVID-19 lockdowns hit, a lot of people just assumed that using Zoom, Canvas and Moodle for online learning was a “free” alternative to in-person classes. In reality, we were giving up even more of our labor and privacy to an industry that ended up making record profits. Your data can be used against you ... or taken out of context, such as sarcasm being used to deny you a job or admission to a school. Data breaches happen all the time, which could lead to identity theft or other personal information becoming public.
Note: Learn about Proctorio, an AI surveillance anti-cheating software used in schools to monitor children through webcams—conducting "desk scans," "face detection," and "gaze detection" to flag potential cheating and to spot anybody “looking away from the screen for an extended period of time." For more along these lines, see concise summaries of deeply revealing news articles on Big Tech and the disappearance of privacy 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.
Ford Motor Company is just one of many automakers advancing technology that weaponizes cars for mass surveillance. The ... company is currently pursuing a patent for technology that would allow vehicles to monitor the speed of nearby cars, capture images, and transmit data to law enforcement agencies. This would effectively turn vehicles into mobile surveillance units, sharing detailed information with both police and insurance companies. Ford's initiative is part of a broader trend among car manufacturers, where vehicles are increasingly used to spy on drivers and harvest data. In today's world, a smartphone can produce up to 3 gigabytes of data per hour, but recently manufactured cars can churn out up to 25 gigabytes per hour—and the cars of the future will generate even more. These vehicles now gather biometric data such as voice, iris, retina, and fingerprint recognition. In 2022, Hyundai patented eye-scanning technology to replace car keys. This data isn't just stored locally; much of it is uploaded to the cloud, a system that has proven time and again to be incredibly vulnerable. Toyota recently announced that a significant amount of customer information was stolen and posted on a popular hacking site. Imagine a scenario where hackers gain control of your car. As cybersecurity threats become more advanced, the possibility of a widespread attack is not far-fetched.
Note: FedEx is helping the police build a large AI surveillance network to track people and vehicles. Michael Hastings, a journalist investigating U.S. military and intelligence abuses, was killed in a 2013 car crash that may have been the result of a hack. For more along these lines, explore summaries of news articles on the disappearance of privacy from reliable major media sources.
Big tech companies have spent vast sums of money honing algorithms that gather their users’ data and scour it for patterns. One result has been a boom in precision-targeted online advertisements. Another is a practice some experts call “algorithmic personalized pricing,” which uses artificial intelligence to tailor prices to individual consumers. The Federal Trade Commission uses a more Orwellian term for this: “surveillance pricing.” In July the FTC sent information-seeking orders to eight companies that “have publicly touted their use of AI and machine learning to engage in data-driven targeting,” says the agency’s chief technologist Stephanie Nguyen. Consumer surveillance extends beyond online shopping. “Companies are investing in infrastructure to monitor customers in real time in brick-and-mortar stores,” [Nguyen] says. Some price tags, for example, have become digitized, designed to be updated automatically in response to factors such as expiration dates and customer demand. Retail giant Walmart—which is not being probed by the FTC—says its new digital price tags can be remotely updated within minutes. When personalized pricing is applied to home mortgages, lower-income people tend to pay more—and algorithms can sometimes make things even worse by hiking up interest rates based on an inadvertently discriminatory automated estimate of a borrower’s risk rating.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
On the sidelines of the International Institute for Strategic Studies’ annual Shangri-La Dialogue in June, US Indo-Pacific Command chief Navy Admiral Samuel Paparo colorfully described the US military’s contingency plan for a Chinese invasion of Taiwan as flooding the narrow Taiwan Strait between the two countries with swarms of thousands upon thousands of drones, by land, sea, and air, to delay a Chinese attack enough for the US and its allies to muster additional military assets. “I want to turn the Taiwan Strait into an unmanned hellscape using a number of classified capabilities,” Paparo said, “so that I can make their lives utterly miserable for a month, which buys me the time for the rest of everything.” China has a lot of drones and can make a lot more drones quickly, creating a likely advantage during a protracted conflict. This stands in contrast to American and Taiwanese forces, who do not have large inventories of drones. The Pentagon’s “hellscape” plan proposes that the US military make up for this growing gap by producing and deploying what amounts to a massive screen of autonomous drone swarms designed to confound enemy aircraft, provide guidance and targeting to allied missiles, knock out surface warships and landing craft, and generally create enough chaos to blunt (if not fully halt) a Chinese push across the Taiwan Strait. Planning a “hellscape" of hundreds of thousands of drones is one thing, but actually making it a reality is another.
Note: Learn more about warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more along these lines, see concise summaries of deeply revealing news articles on military corruption from reliable major media sources.
Some renters may savor the convenience of “smart home” technologies like keyless entry and internet-connected doorbell cameras. But tech companies are increasingly selling these solutions to landlords for a more nefarious purpose: spying on tenants in order to evict them or raise their rent. Teman, a tech company that makes surveillance systems for apartment buildings ... proposes a solution to a frustration for many New York City landlords, who have tenants living in older apartments that are protected by a myriad of rent control and stabilization laws. The company’s email suggests a workaround: “3 Simple Steps to Re-Regulate a Unit.” First, use one of Teman’s automated products to catch a tenant breaking a law or violating their lease, such as by having unapproved subletters or loud parties. Then, “vacate” them and merge their former apartment with one next door or above or below, creating a “new” unit that’s not eligible for rent protections. “Combine a $950/mo studio and $1400/mo one-bedroom into a $4200/mo DEREGULATED two-bedroom,” the email enticed. Teman’s surveillance systems can even “help you identify which units are most-likely open to moving out (or being evicted!).” Two affordable New York City developments made headlines when tenants successfully organized to stop their respective owners’ plans to install facial recognition systems: Atlantic Towers in Brooklyn and Knickerbocker Village in the Lower East Side.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
Columbus landlords are now turning to artificial intelligence to evict tenants from their homes. [Attorney Jyoshu] Tsushima works for the Legal Aid Society of Southeast and Central Ohio and focuses on evictions. In June, nearly 2,000 evictions were filed within Franklin County Municipal Court. Tsushima said the county is on track to surpass 24,000 evictions for the year. In eviction court, he said both property management staffers and his clients describe software used that automatically evicts tenants. He said human employees don't determine who will be kicked out but they're the ones who place the eviction notices up on doors. Hope Matfield contacted ABC6 ... after she received an eviction notice on her door at Eden of Caleb's Crossing in Reynoldsburg in May. "They're profiting off people living in hell, basically," Matfield [said]. "I had no choice. I had to make that sacrifice, do a quick move and not know where my family was going to go right away." In February, Matfield started an escrow case against her property management group which is 5812 Investment Group. When Matfield missed a payment, the courts closed her case and gave the escrow funds to 5812 Investment Group. Matfield received her eviction notice that same day. The website for 5812 Investment Group indicates it uses software from RealPage. RealPage is subject to a series of lawsuits across the country due to algorithms multiple attorneys general claim cause price-fixing on rents.
Note: Read more about how tech companies are increasingly marketing smart tools to landlords for a troubling purpose: surveilling tenants to justify evictions or raise their rent. For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
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.
If you appeared in a photo on Facebook any time between 2011 and 2021, it is likely your biometric information was fed into DeepFace — the company’s controversial deep-learning facial recognition system that tracked the face scan data of at least a billion users. That's where Texas Attorney General Ken Paxton comes in. His office secured a $1.4 billion settlement from Meta over its alleged violation of a Texas law that bars the capture of biometric data without consent. Meta is on the hook to pay $275 million within the next 30 days and the rest over the next four years. Why did Paxton wait until 2022 — a year after Meta announced it would suspend its facial recognition technology and delete its database — to go up against the tech giant? If our AG truly prioritized privacy, he'd focus on the lesser-known companies that law enforcement agencies here in Texas are paying to scour and store our biometric data. In 2017, [Clearview AI] launched a facial recognition app that ... could identify strangers from a photo by searching a database of faces scraped without consent from social media. In 2020, news broke that at least 600 law enforcement agencies were tapping into a database of 3 billion facial images. Clearview was hit with lawsuit after lawsuit. That same year, the company was hacked and its entire client list — which included the Department of Justice, U.S. Immigration and Customs Enforcement, Interpol, retailers and hundreds of police departments — was leaked.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Automated fast food restaurant CaliExpress by Flippy, in Pasadena, Calif., opened in January to considerable hype due to its robot burger makers, but the restaurant launched with another, less heralded innovation: the ability to pay for your meal with your face. CaliExpress uses a payment system from facial ID tech company PopID. It’s not the only fast-food chain to employ the technology. Biometric payment options are becoming more common. Amazon introduced pay-by-palm technology in 2020, and while its cashier-less store experiment has faltered, it installed the tech in 500 of its Whole Foods stores last year. Mastercard, which is working with PopID, launched a pilot for face-based payments in Brazil back in 2022, and it was deemed a success — 76% of pilot participants said they would recommend the technology to a friend. As stores implement biometric technology for a variety of purposes, from payments to broader anti-theft systems, consumer blowback, and lawsuits, are rising. In March, an Illinois woman sued retailer Target for allegedly illegally collecting and storing her and other customers’ biometric data via facial recognition technology without their consent. Amazon and T-Mobile are also facing legal actions related to biometric technology. In other countries ... biometric payment systems are comparatively mature. Visitors to McDonald’s in China ... use facial recognition technology to pay for their orders.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and Big Tech from reliable major media sources.
Peregrine ... is essentially a super-powered Google for police data. Enter a name or address into its web-based app, and Peregrine quickly scans court records, arrest reports, police interviews, body cam footage transcripts — any police dataset imaginable — for a match. It’s taken data siloed across an array of older, slower systems, and made it accessible in a simple, speedy app that can be operated from a web browser. To date, Peregrine has scored 57 contracts across a wide range of police and public safety agencies in the U.S., from Atlanta to L.A. Revenue tripled in 2023, from $3 million to $10 million. [That will] triple again to $30 million this year, bolstered by $60 million in funding from the likes of Friends & Family Capital and Founders Fund. Privacy advocates [are] concerned about indiscriminate surveillance. “We see a lot of police departments of a lot of different sizes getting access to Real Time Crime Centers now, and it's definitely facilitating a lot more general access to surveillance feeds for some of these smaller departments that would have previously found it cost prohibitive,” said Beryl Lipton ... at the Electronic Frontier Foundation (EFF). “These types of companies are inherently going to have a hard time protecting privacy, because everything that they're built on is basically privacy damaging.” Peregrine technology can also enable “predictive policing,” long criticized for unfairly targeting poorer, non-white neighborhoods.
Note: Learn more about Palantir's involvement in domestic surveillance and controversial military technologies. For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
If you rent your home, there’s a good chance your landlord uses RealPage to set your monthly payment. The company describes itself as merely helping landlords set the most profitable price. But a series of lawsuits says it’s something else: an AI-enabled price-fixing conspiracy. The late Justice Antonin Scalia once called price-fixing the “supreme evil” of antitrust law. Agreeing to fix prices is punishable with up to 10 years in prison and a $100 million fine. Property owners feed RealPage’s “property management software” their data, including unit prices and vacancy rates, and the algorithm—which also knows what competitors are charging—spits out a rent recommendation. If enough landlords use it, the result could look the same as a traditional price-fixing cartel: lockstep price increases instead of price competition, no secret handshake or clandestine meeting needed. Algorithmic price-fixing appears to be spreading to more and more industries. And existing laws may not be equipped to stop it. In more than 40 housing markets across the United States, 30 to 60 percent of multifamily-building units are priced using RealPage. The plaintiffs suing RealPage, including the Arizona and Washington, D.C., attorneys general, argue that this has enabled a critical mass of landlords to raise rents in concert, making an existing housing-affordability crisis even worse. The lawsuits also argue that RealPage pressures landlords to comply with its pricing suggestions.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
In 2017, hundreds of artificial intelligence experts signed the Asilomar AI Principles for how to govern artificial intelligence. I was one of them. So was OpenAI CEO Sam Altman. The signatories committed to avoiding an arms race on the grounds that “teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.” The stated goal of OpenAI is to create artificial general intelligence, a system that is as good as expert humans at most tasks. It could have significant benefits. It could also threaten millions of lives and livelihoods if not developed in a provably safe way. It could be used to commit bioterrorism, run massive cyberattacks or escalate nuclear conflict. Given these dangers, a global arms race to unleash artificial general intelligence AGI serves no one’s interests. The true power of AI lies ... in its potential to bridge divides. AI might help us identify fundamental patterns in global conflicts and human behavior, leading to more profound solutions. AI’s ability to process vast amounts of data could help identify patterns in global conflicts by suggesting novel approaches to resolution that human negotiators might overlook. Advanced natural language processing could break down communication barriers, allowing for more nuanced dialogue between nations and cultures. Predictive AI models could identify early signs of potential conflicts, allowing for preemptive diplomatic interventions.
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.
Important Note: Explore our full index to revealing excerpts of key major media news stories on several dozen engaging topics. And don't miss amazing excerpts from 20 of the most revealing news articles ever published.
