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.
Have you heard of the idiom "You Can’t Lick a Badger Twice?" We haven't, either, because it doesn't exist — but Google's AI seemingly has. As netizens discovered this week that adding the word "meaning" to nonexistent folksy sayings is causing the AI to cook up invented explanations for them. "The idiom 'you can't lick a badger twice' means you can't trick or deceive someone a second time after they've been tricked once," Google's AI Overviews feature happily suggests. "It's a warning that if someone has already been deceived, they are unlikely to fall for the same trick again." There are countless other examples. We found, for instance, that Google's AI also claimed that the made-up expression "the bicycle eats first" is a "humorous idiom" and a "playful way of saying that one should prioritize their nutrition, particularly carbohydrates, to support their cycling efforts." The bizarre replies are the perfect distillation of one of AI's biggest flaws: rampant hallucinations. Large language model-based AIs have a long and troubled history of rattling off made-up facts and even gaslighting users into thinking they were wrong all along. And despite AI companies' extensive attempts to squash the bug, their models continue to hallucinate. Google's AI Overviews feature, which the company rolled out in May of last year, still has a strong tendency to hallucinate facts as well, making it far more of an irritating nuisance than a helpful research assistant for users.
Note: For more along these lines, read our concise summaries of news articles on AI and Big Tech.
In 2003 [Alexander Karp] – together with Peter Thiel and three others – founded a secretive tech company called Palantir. And some of the initial funding came from the investment arm of – wait for it – the CIA! The lesson that Karp and his co-author draw [in their book The Technological Republic: Hard Power, Soft Belief and the Future of the West] is that “a more intimate collaboration between the state and the technology sector, and a closer alignment of vision between the two, will be required if the United States and its allies are to maintain an advantage that will constrain our adversaries over the longer term. The preconditions for a durable peace often come only from a credible threat of war.” Or, to put it more dramatically, maybe the arrival of AI makes this our “Oppenheimer moment”. For those of us who have for decades been critical of tech companies, and who thought that the future for liberal democracy required that they be brought under democratic control, it’s an unsettling moment. If the AI technology that giant corporations largely own and control becomes an essential part of the national security apparatus, what happens to our concerns about fairness, diversity, equity and justice as these technologies are also deployed in “civilian” life? For some campaigners and critics, the reconceptualisation of AI as essential technology for national security will seem like an unmitigated disaster – Big Brother on steroids, with resistance being futile, if not criminal.
Note: Learn more about emerging warfare technology in our comprehensive Military-Intelligence Corruption Information Center. For more, read our concise summaries of news articles on AI and intelligence agency corruption.
Instagram has released a long-promised “reset” button to U.S. users that clears the algorithms it uses to recommend you photos and videos. TikTok offers a reset button, too. And with a little bit more effort, you can also force YouTube to start fresh with how it recommends what videos to play next. It means you now have the power to say goodbye to endless recycled dance moves, polarizing Trump posts, extreme fitness challenges, dramatic pet voice-overs, fruit-cutting tutorials, face-altering filters or whatever other else has taken over your feed like a zombie. I know some people love what their apps show them. But the reality is, none of us are really in charge of our social media experience anymore. Instead of just friends, family and the people you choose to follow, nowadays your feed or For You Page is filled with recommended content you never asked for, selected by artificial-intelligence algorithms. Their goal is to keep you hooked, often by showing you things you find outrageous or titillating — not joyful or calming. And we know from Meta whistleblower Frances Haugen and others that outrage algorithms can take a particular toll on young people. That’s one reason they’re offering a reset now: because they’re under pressure to give teens and families more control. So how does the algorithm go awry? It tries to get to know you by tracking every little thing you do. They’re even analyzing your “dwell time,” when you unconsciously scroll more slowly.
Note: Read about the developer who got permanently banned from Meta for developing a tool called “Unfollow Everything” that lets users, well, unfollow everything and restart their feeds fresh. For more along these lines, read our concise summaries of news articles on Big Tech and media manipulation.
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.
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.
On July 16, the S&P 500 index, one of the most widely cited benchmarks in American capitalism, reached its highest-ever market value: $47 trillion. 1.4 percent of those companies were worth more than $16 trillion, the greatest concentration of capital in the smallest number of companies in the history of the U.S. stock market. The names are familiar: Microsoft, Apple, Amazon, Nvidia, Meta, Alphabet, and Tesla. All of them, too, have made giant bets on artificial intelligence. For all their similarities, these trillion-dollar-plus companies have been grouped together under a single banner: the Magnificent Seven. In the past month, though, these giants of the U.S. economy have been faltering. A recent rout led to a collapse of $2.6 trillion in their market value. Earlier this year, Goldman Sachs issued a deeply skeptical report on the industry, calling it too expensive, too clunky, and just simply not as useful as it has been chalked up to be. “There’s not a single thing that this is being used for that’s cost-effective at this point,” Jim Covello, an influential Goldman analyst, said on a company podcast. AI is not going away, and it will surely become more sophisticated. This explains why, even with the tempering of the AI-investment thesis, these companies are still absolutely massive. When you talk with Silicon Valley CEOs, they love to roll their eyes at their East Coast skeptics. Banks, especially, are too cautious, too concerned with short-term goals, too myopic to imagine another world.
Note: For more along these lines, see concise summaries of deeply revealing news articles on AI and corporate corruption from reliable major media sources.
Emotion artificial intelligence uses biological signals such as vocal tone, facial expressions and data from wearable devices as well as text and how people use their computers, promising to detect and predict how someone is feeling. Over 50% of large employers in the U.S. use emotion AI aiming to infer employees’ internal states, a practice that grew during the COVID-19 pandemic. For example, call centers monitor what their operators say and their tone of voice. We wondered what workers think about these technologies. My collaborators Shanley Corvite, Kat Roemmich, Tillie Ilana Rosenberg and I conducted a survey. 51% of participants expressed concerns about privacy, 36% noted the potential for incorrect inferences employers would accept at face value, and 33% expressed concern that emotion AI-generated inferences could be used to make unjust employment decisions. Despite emotion AI’s claimed goals to infer and improve workers’ well-being in the workplace, its use can lead to the opposite effect: well-being diminished due to a loss of privacy. On concerns that emotional surveillance could jeopardize their job, a participant with a diagnosed mental health condition said: “They could decide that I am no longer a good fit at work and fire me. Decide I’m not capable enough and not give a raise, or think I’m not working enough.” Participants ... said they were afraid of the dynamic they would have with employers if emotion AI were integrated into their workplace.
Note: The above article was written by Nazanin Andalibi at the University of Michigan. 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 $118bn bipartisan immigration bill that the US Senate introduced on Sunday is already facing steep opposition. The 370-page measure, which also would provide additional aid to Israel and Ukraine, has drawn the ire of both Democrats and Republicans over its proposed asylum and border laws. But privacy, immigration and digital liberties experts are also concerned over another aspect of the bill: more than $400m in funding for additional border surveillance and data-gathering tools. The lion’s share of that funding will go to two main tools: $170m for additional autonomous surveillance towers and $204m for “expenses related to the analysis of DNA samples”, which includes those collected from migrants detained by border patrol. The bill describes autonomous surveillance towers as ones that “utilize sensors, onboard computing, and artificial intelligence to identify items of interest that would otherwise be manually identified by personnel”. The rest of the funding for border surveillance ... includes $47.5m for mobile video surveillance systems and drones and $25m for “familial DNA testing”. The bill also includes $25m in funding for “subterranean detection capabilities” and $10m to acquire data from unmanned surface vehicles or autonomous boats. As of early January, CBP had deployed 396 surveillance towers along the US-Mexico border, according to the Electronic Frontier Foundation (EFF).
Note: Read more about the secret history of facial recognition technology and undeniable evidence indicating these tools do much more harm than good. 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.
Looking Glass Factory, a company based in the Greenpoint neighborhood of Brooklyn, New York, revealed its latest consumer device: a slim, holographic picture frame that turns photos taken on iPhones into 3D displays. Looking Glass received $2.54 million of “technology development” funding from In-Q-Tel, the venture capital arm of the CIA, from April 2020 to March 2021 and a $50,000 Small Business Innovation Research award from the U.S. Air Force in November 2021 to “revolutionize 3D/virtual reality visualization.” Across the various branches of the military and intelligence community, contract records show a rush to jump on holographic display technology, augmented reality, and virtual reality display systems as the latest trend. Critics argue that the technology isn’t quite ready for prime time, and that the urgency to adopt it reflects the Pentagon’s penchant for high-priced, high-tech contracts based on the latest fad in warfighting. Military interest in holographic imaging, in particular, has grown rapidly in recent years. Military planners in China and the U.S. have touted holographic technology to project images “to incite fear in soldiers on a battlefield.” Other uses involve the creation of three-dimensional maps of villages of specific buildings and to analyze blast forensics. Palmer Luckey, who founded the technology startup Anduril Industries ... has received secretive Air Force contracts to develop next-generation artificial intelligence capabilities under the so-called Project Maven initiative.
Note: For more along these lines, see concise summaries of deeply revealing news articles on intelligence agency corruption from reliable major media sources.
Lesley Stahl reports on an innovative project that uses artificial intelligence technology to allow people to talk with Holocaust survivors, even after their death. This high-tech initiative is a project of the USC Shoah Foundation. The project's creators film lengthy interviews with Holocaust survivors, then enter all the recorded answers into a database. When a person asks a spoken question, voice recognition technology identifies what the person is asking, then artificial intelligence identifies the best answer to the question and pull up the video of that response. [Stahl] digitally spoke with ... Eva Kor, an identical twin who survived the brutal experiments of Josef Mengele at the Auschwitz concentration camp. Kor died in July 2019 at the age of 85, yet there she was, in a life-like projection, willing to answer Stahl's questions, even her recollections of Mengele: "When I looked into his eyes, I could see nothing but evil," the digital Kor told Stahl. "People say that the eyes are the center of the soul, and in Mengele's case, that was correct." In 1992, 60 Minutes reported on Mengele's twin experiments, and Stahl interviewed the living Kor. Kor recalled how her twin sister, Miriam, helped sustain her life at Auschwitz. "I was continuously fainting out of hunger; even after, I survived," Kor said. "Yet Miriam saved her bread for one whole week. Now can you imagine what willpower does it take?" Kor told Stahl it had taken her 40 years before she was able to speak with her sister about the atrocities they experienced at Auschwitz.
Note: The 60 Minutes video at the link above is quite revealing. If only good people around the world were willing to step out of their comfort zones and see what Dr. Josef Mengele, the Angel of Death at Auschwitz, did to his concentration camp inmates, we might live in a kinder gentler world. If you are open to learning more see an excellent two-page summary on secret Nazi experiments and this well documented webpage on how Mengele may have been allowed to escape to then serve in secret American projects. By shining a light into the dark shadows, we can transform our our world.
At least 25 prominent artificial-intelligence researchers, including experts at Google, Facebook, Microsoft and a recent winner of the prestigious Turing Award, have signed a letter calling on Amazon to stop selling its facial-recognition technology to law enforcement agencies because it is biased against women and people of color. The letter, which was publicly released Wednesday, reflects growing concern in academia and the tech industry that bias in facial-recognition technology is a systemic problem. Amazon sells a product called Rekognition through its cloud-computing division, Amazon Web Services. The company said last year that early customers included the Orlando Police Department in Florida and the Washington County Sheriffs Office in Oregon. In January, two researchers at the Massachusetts Institute of Technology published a peer-reviewed study showing that Amazon Rekognition had more trouble identifying the gender of female and darker-skinned faces in photos than similar services from IBM and Microsoft. It mistook women for men 19 percent of the time, the study showed, and misidentified darker-skinned women for men 31 percent of the time. There are no laws or required standards to ensure that Rekognition is used in a manner that does not infringe on civil liberties, the A.I. researchers wrote. We call on Amazon to stop selling Rekognition to law enforcement.
Note: For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and the erosion of civil liberties.
Google will not seek to extend its contract next year with the Defense Department for artificial intelligence used to analyze drone video, squashing a controversial alliance that had raised alarms over the technological buildup between Silicon Valley and the military. Google ... has faced widespread public backlash and employee resignations for helping develop technological tools that could aid in warfighting. Google will soon release new company principles related to the ethical uses of AI. Thousands of Google employees wrote chief executive Sundar Pichai an open letter urging the company to cancel the contract, and many others signed a petition saying the companys assistance in developing combat-zone technology directly countered the companys famous Dont be evil motto. Several Google AI employees had told The Post they believed they wielded a powerful influence over the companys decision-making. The advanced technologys top researchers and developers are in heavy demand, and many had organized resistance campaigns or threatened to leave. The sudden announcement Friday was welcomed by several high-profile employees. Meredith Whittaker, an AI researcher and the founder of Googles Open Research group, tweeted Friday: I am incredibly happy about this decision, and have a deep respect for the many people who worked and risked to make it happen. Google should not be in the business of war.
Note: Explore a treasure trove of concise summaries of incredibly inspiring news articles which will inspire you to make a difference.
Hundreds of academics have urged Google to abandon its work on a U.S. Department of Defense-led drone program codenamed Project Maven. An open letter calling for change was published Monday by the International Committee for Robot Arms Control (ICRAC). The project is formally known as the Algorithmic Warfare Cross-Functional Team. Its objective is to turn the enormous volume of data available to DoD into actionable intelligence. More than 3,000 Google staffers signed a petition in April in protest at the company's focus on warfare. We believe that Google should not be in the business of war, it read. Therefore we ask that Project Maven be cancelled. The ICRAC warned this week the project could potentially be mixed with general user data and exploited to aid targeted killing. Currently, its letter has nearly 500 signatures. It stated: We are ... deeply concerned about the possible integration of Googles data on peoples everyday lives with military surveillance data, and its combined application to targeted killing ... Google has moved into military work without subjecting itself to public debate or deliberation. While Google regularly decides the future of technology without democratic public engagement, its entry into military technologies casts the problems of private control of information infrastructure into high relief. Lieutenant Colonel Garry Floyd, deputy chief of the Algorithmic Warfare Cross Functional Team, said ... earlier this month that Maven was already active in five or six combat locations.
Note: You can read the full employee petition on this webpage. The New York Times also published a good article on this. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and war.
Theres something eating at Google employees. Roughly one dozen employees of the search giant have resigned in the wake of reports that the ... company is providing artificial intelligence to the Pentagon. The employees resigned because of ethical concerns over the companys work with the Defense Department that includes helping the military speed up analysis of drone footage by automatically classifying images of objects and people, Gizmodo reported. Many of the employees who quit have written accounts of their decisions to leave the company. Their stories have been gathered and shared in an internal document. Google is helping the DoDs Project Maven implement machine learning to classify images gathered by drones, according to the report. Some employees believe humans, not algorithms, should be responsible for this sensitive and potentially lethal work - and that Google shouldnt be involved in military work at all. The 12 resignations are the first known mass resignations at Google in protest against one of the companys business decisions - and they speak to the strongly felt ethical concerns of the employees who are departing. In addition to the resignations, nearly 4,000 Google employees have voiced their opposition to Project Maven in an internal petition that asks Google to immediately cancel the contract and institute a policy against taking on future military work.
Note: You can read the full employee petition on this webpage. An open letter in support of google employees and tech workers was signed by more than 90 academics in artificial intelligence, ethics, and computer science. The New York Times also published a good article on this. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and war
America's second-highest ranking military officer, Gen. Paul Selva, advocated Tuesday for "keeping the ethical rules of war in place lest we unleash on humanity a set of robots that we don't know how to control." Selva was responding to a question from Sen. Gary Peters, a Michigan Democrat, about his views on a Department of Defense directive that requires a human operator to be kept in the decision-making process when it comes to the taking of human life by autonomous weapons systems. Peters said the restriction was "due to expire later this year." "I don't think it's reasonable for us to put robots in charge of whether or not we take a human life," Selva told the Senate Armed Services Committee during a confirmation hearing for his reappointment as the vice chairman of the Joint Chiefs of Staff. He predicted that "there will be a raucous debate in the department about whether or not we take humans out of the decision to take lethal action," but added that he was "an advocate for keeping that restriction." Selva said humans needed to remain in the decision making process "because we take our values to war." His comments come as the US military has sought increasingly autonomous weapons systems.
Note: In another article Tesla founder Elon Musk's warns against the dangers of AI without regulation. A 2013 report for the U.N. Human Rights Commission called for a worldwide moratorium on the testing, production, assembly, transfer, acquisition, deployment and use of killer robots until an international conference can develop rules for their use. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
2,500 US service members from the 15th Marine Expeditionary Unit [tested] a leading AI tool the Pentagon has been funding. The generative AI tools they used were built by the defense-tech company Vannevar Labs, which in November was granted a production contract worth up to $99 million by the Pentagon’s startup-oriented Defense Innovation Unit. The company, founded in 2019 by veterans of the CIA and US intelligence community, joins the likes of Palantir, Anduril, and Scale AI as a major beneficiary of the US military’s embrace of artificial intelligence. In December, the Pentagon said it will spend $100 million in the next two years on pilots specifically for generative AI applications. In addition to Vannevar, it’s also turning to Microsoft and Palantir, which are working together on AI models that would make use of classified data. People outside the Pentagon are warning about the potential risks of this plan, including Heidy Khlaaf ... at the AI Now Institute. She says this rush to incorporate generative AI into military decision-making ignores more foundational flaws of the technology: “We’re already aware of how LLMs are highly inaccurate, especially in the context of safety-critical applications that require precision.” Khlaaf adds that even if humans are “double-checking” the work of AI, there's little reason to think they're capable of catching every mistake. “‘Human-in-the-loop’ is not always a meaningful mitigation,” she says.
Note: For more, read our concise summaries of news articles on warfare technology and Big Tech.
Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the companys involvement in a Pentagon program that uses artificial intelligence to interpret video imagery and could be used to improve the targeting of drone strikes. The letter, which is circulating inside Google and has garnered more than 3,100 signatures, reflects a culture clash ... that is likely to intensify as cutting-edge artificial intelligence is increasingly employed for military purposes. We believe that Google should not be in the business of war, says the letter, addressed to Sundar Pichai, the companys chief executive. It asks that Google pull out of Project Maven, a Pentagon pilot program, and announce a policy that it will not ever build warfare technology. That kind of idealistic stance ... is distinctly foreign to Washingtons massive defense industry and certainly to the Pentagon, where the defense secretary, Jim Mattis, has often said a central goal is to increase the lethality of the United States military. Some of Googles top executives have significant Pentagon connections. Eric Schmidt, former executive chairman of Google and still a member of the executive board of Alphabet, Googles parent company, serves on a Pentagon advisory body, the Defense Innovation Board, as does a Google vice president, Milo Medin. Project Maven ... began last year as a pilot program to find ways to speed up the military application of the latest A.I. technology.
Note: The use of artificial intelligence technology for drone strike targeting is one of many ways warfare is being automated. Strong warnings against combining artificial intelligence with war have recently been issued by America's second-highest ranking military officer, tech mogul Elon Musk, and many of the world's most recognizable scientists. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
The Navy is looking to increase its use of drones that are more and more independent of direct human control. In recent days, Pentagon officials and Navy leaders have spoken about the program and the push to develop more autonomous and intelligent unmanned systems. Secretary of Defense Ash Carter in a speech earlier this month confirmed that the United States was developing "self-driving boats which can network together to do all kinds of missions, from fleet defense to close-in surveillance." And Rear Adm. Robert P. Girrier, the Navy's director of Unmanned Warfare Systems, discussed the effort at a January event at the Center for Strategic and International Studies. The drive is being dubbed "human machine teaming," which uses unmanned vehicles that are more independent than those piloted or supervised by human operators. Girrier told the audience that the "technology is there" and that more autonomous drones would allow the United States "to achieve supremacy at a lower cost." The Navy's push comes despite critics expressing increasing alarm at further automating drones, advances that have sparked fears of militaries developing robots that can kill without accountability. In July a group of concerned scientists, researchers and academics ... argued against the development of autonomous weapons systems. They warned of an artificial intelligence arms race and called for a "ban on offensive autonomous weapons beyond meaningful human control."
Note: In another article Tesla founder Elon Musk's warns against the dangers of AI without regulation. A 2013 report for the U.N. Human Rights Commission called for a worldwide moratorium on the testing, production, assembly, transfer, acquisition, deployment and use of killer robots until an international conference can develop rules for their use. For more along these lines, see concise summaries of deeply revealing military corruption news articles from reliable major media sources.
The Mother of All Bombs made news last week after the U.S. military dropped its most powerful non-nuclear bomb at a site in Afghanistans Nangarhar Province. This massive ... explosive device may seem a high-tech marvel. But the technology is old news, based on ... World War II-era theories. Yet theres plenty of new news on the military weapons front. The militarys new toys are often fantastically costly. Yet in some categories, technological advances create opportunities for cheap but powerful military tools ... starting with weaponized drones. The Defense Department is designing robotic fighter jets that would fly into combat alongside manned aircraft. It has tested missiles that can decide what to attack, and it has built ships that can hunt for enemy submarines ... without any help from humans. The dilemma posed by artificial intelligence-driven autonomous weapons - which some scientists liken to the third revolution in warfare, after gunpowder and nuclear arms - is that to take fullest advantage of such weapons, the logical move would be to leave humans entirely out of lethal decision-making, allowing for quicker responses to threats. But if future presidents and Pentagons trusted algorithms to make such decisions, conflicts between two nations relying on such technology could rapidly escalate - to possibly apocalyptic levels - without human involvement. More than 20,000 AI researchers, scientists and [others have signed] a ...petition endorsing a ban on offensive autonomous weapons.
Note: In 2013, the United Nations investigated the rise of lethal autonomous robots, and reported that this technology endangers human rights and should not be developed further without international oversight. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
There are risks to democracy from AI, but there are also opportunities. AI is being used by some to make democracy better, stronger, and more responsive to people. CalMatters, a non-profit, non-partisan news organization. Since 2023, its Digital Democracy project has been collecting every public utterance of California elected officials – every floor speech, comment made in committee and social media post, along with their voting records, legislation, and campaign contributions – and making all that information available in a free online platform. CalMatters this year launched a new feature that takes this kind of civic watchdog function a big step further. Its AI Tip Sheets feature uses AI to search through all of this data, looking for anomalies, such as a change in voting position tied to a large campaign contribution. These anomalies appear on a webpage that journalists can access to give them story ideas and a source of data. This is not AI replacing human journalists; it is a civic watchdog organization. And it’s no coincidence that this innovation arose from a new kind of media institution – a non-profit news agency. AI technology is not without its costs and risks, and we are not here to minimize them. But the technology has significant benefits as well. AI is inherently power-enhancing, and it can magnify what the humans behind it want to do. It can enhance authoritarianism as easily as it can enhance democracy. It’s up to us to steer the technology in that better direction.
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