Big Tech News Articles
There has been a surge of concern and interest in the threat of “surveillance pricing,” in which companies leverage the enormous amount of detailed data they increasingly hold on their customers to set individualized prices for each of them — likely in ways that benefit the companies and hurt their customers. The central battle in such efforts will be around identity: do the companies whose prices you are checking or negotiating know who you are? Can you stop them from knowing who you are? Unfortunately, one day not too far in the future, you may lose the ability to do so. Many states around the country are creating digital versions of their state driver’s licenses. Digital versions of IDs allow people to be tracked in ways that are not possible or practical with physical IDs — especially since they are being designed to work ... online. It will be much easier for companies to request — and eventually demand — that people share their IDs in order to engage in all manner of transactions. It will make it easier for companies to collect data about us, merge it with other data, and analyze it, all with high confidence that it pertains to the same person — and then recognize us ... and execute their price-maximizing strategy against us. Not only would digital IDs prevent people from escaping surveillance pricing, but surveillance pricing would simultaneously incentivize companies to force the presentation of digital IDs by people who want to shop.
Note: For more along these lines, read our concise summaries of news articles on corporate corruption and the disappearance of privacy.
In his 1963 scifi story “The Invincible,” the Polish writer Stanisaw Lem imagined an artificial species of free-floating nanobots which roamed the atmosphere of a far-off planet. Like tiny bugs, the microscopic beings were powerless alone, but together they could form cooperative swarms to gather energy, reproduce, and ultimately defend their territory from predators with deadly force. Lem probably never imagined his evolutionary parable of living dust was just a few decades from becoming a reality — or that it would become the inspiration for the development of a real-life military technology known as “smart dust.” Starting out as a theoretical research proposal to the Defense Advanced Research Projects Agency (DARPA) ... smart dust is now being developed for use in a wide variety of industries, from environmental studies to commercial mining. That’s according to Interesting Engineering, which recently published a rundown of the state of present-day smart dust after decades of development. Though “dust” remains a bit of a misnomer — it’s more like a bunch of tiny sensors capable of delaying data to a central device — there’s a large body of theoretical and simulated work laying a path for practical microengineering that’s steadily coming into its own. In the future, [smart dust is] hoped to be able to report a near-infinite amount of data in suspended, 3D environments. The current “smart dust industry” ... was valued at around $115 million in 2022.
Note: Smart dust can theoretically be used to spy on human thought. For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
A series of corporate leaks over the past few years provides a remarkable window in the hidden engines powering social media. In January 2021, a few Facebook employees posted an article on the company’s engineering blog purporting to explain the news feed algorithm that determines which of the countless posts available each user will see and the order in which they will see them. Eight months later ... a Facebook product manager turned whistleblower snuck over ten thousand pages of documents and internal messages out of Facebook headquarters. She leaked these to a handful of media outlets. Internal studies documented Instagram’s harmful impact on the mental health of vulnerable teen girls. A secret whitelist program exempted VIP users from the moderation system the rest of us face. It turns out Facebook engineers have assigned a point value to each type of engagement users can perform on a post (liking, commenting, resharing, etc.). For each post you could be shown, these point values are multiplied by the probability that the algorithm thinks you’ll perform that form of engagement. These multiplied pairs of numbers are added up, and the total is the post’s personalized score for you. Facebook, TikTok, and Twitter all run on essentially the same simple math formula. Once we start clicking the social media equivalent of junk food, we’re going to be served up a lot more of it—which makes it harder to resist. It’s a vicious cycle
Note: Read our latest Substack focused on a social media platform that is harnessing technology as a listening tool for the radical purpose of bringing people together across differences. For more along these lines, read our concise summaries of news articles on Big Tech and media manipulation.
Reviewing individuals’ social media to conduct ideological vetting has been a defining initiative of President Trump’s second term. As part of that effort, the administration has proposed expanding the mandatory collection of social media identifiers. By linking individuals’ online presence to government databases, officials could more easily identify, monitor, and penalize people based on their online self-expression, raising the risk of self-censorship. Most recently, the State Department issued a cable directing consular officers to review the social media of all student visa applicants for “any indications of hostility towards the citizens, culture, government, institutions or founding principles of the United States,” as well as for any “history of political activism.” This builds on earlier efforts this term, including the State Department’s “Catch and Revoke” program, which promised to leverage artificial intelligence to screen visa holders’ social media for ostensible “pro-Hamas” activity, and U.S. Citizenship and Immigration Services’ April announcement that it would begin looking for “antisemitic activity” in the social media of scores of foreign nationals. At the border, any traveler, regardless of citizenship status, may face additional scrutiny. U.S. border agents are authorized to ... examine phones, computers, and other devices to review posts and private messages on social media, even if they do not suspect any involvement in criminal activity or have immigration-related concerns.
Note: Our news archives on censorship and the disappearance of privacy reveal how government surveillance of social media has long been conducted by all presidential administrations and all levels of government.
Palantir has long been connected to government surveillance. It was founded in part with CIA money, it has served as an Immigration and Customs Enforcement (ICE) contractor since 2011, and it's been used for everything from local law enforcement to COVID-19 efforts. But the prominence of Palantir tools in federal agencies seems to be growing under President Trump. "The company has received more than $113 million in federal government spending since Mr. Trump took office, according to public records, including additional funds from existing contracts as well as new contracts with the Department of Homeland Security and the Pentagon," reports The New York Times, noting that this figure "does not include a $795 million contract that the Department of Defense awarded the company last week, which has not been spent." Palantir technology has largely been used by the military, the intelligence agencies, the immigration enforcers, and the police. But its uses could be expanding. Representatives of Palantir are also speaking to at least two other agencies—the Social Security Administration and the Internal Revenue Service. Along with the Trump administration's efforts to share more data across federal agencies, this signals that Palantir's huge data analysis capabilities could wind up being wielded against all Americans. Right now, the Trump administration is using Palantir tools for immigration enforcement, but those tools could easily be applied to other ... targets.
Note: Read about Palantir's recent, first-ever AI warfare conference. For more along these lines, read our concise summaries of news articles on Big Tech and intelligence agency corruption.
If there is one thing that Ilya Sutskever knows, it is the opportunities—and risks—that stem from the advent of artificial intelligence. An AI safety researcher and one of the top minds in the field, he served for years as the chief scientist of OpenAI. There he had the explicit goal of creating deep learning neural networks so advanced they would one day be able to think and reason just as well as, if not better than, any human. Artificial general intelligence, or simply AGI, is the official term for that goal. According to excerpts published by The Atlantic ... part of those plans included a doomsday shelter for OpenAI researchers. “We’re definitely going to build a bunker before we release AGI,” Sutskever told his team in 2023. Sutskever reasoned his fellow scientists would require protection at that point, since the technology was too powerful for it not to become an object of intense desire for governments globally. “Of course, it’s going to be optional whether you want to get into the bunker,” he assured fellow OpenAI scientists. Sutskever knows better than most what the awesome capabilities of AI are. He was part of an elite trio behind the 2012 creation of AlexNet, often dubbed by experts as the Big Bang of AI. Recruited by Elon Musk personally to join OpenAI three years later, he would go on to lead its efforts to develop AGI. But the launch of its ChatGPT bot accidentally derailed his plans by unleashing a funding gold rush the safety-minded Sutskever could no longer control.
Note: Watch a conversation on the big picture of emerging technology with Collective Evolution founder Joe Martino and WTK team members Amber Yang and Mark Bailey. For more along these lines, read our concise summaries of news articles on AI.
According to recent research by the Office of the eSafety Commissioner, “nearly 1 in 5 young people believe it’s OK to track their partner whenever they want”. Many constantly share their location with their partner, or use apps like Life360 or Find My Friends. Some groups of friends all do it together, and talk of it as a kind of digital closeness where physical distance and the busyness of life keeps them apart. Others use apps to keep familial watch over older relatives – especially when their health may be in decline. When government officials or tech industry bigwigs proclaim that you should be OK with being spied on if you’re not doing anything wrong, they’re asking (well, demanding) that we trust them. But it’s not about trust, it’s about control and disciplining behaviour. “Nothing to hide; nothing to fear” is a frustratingly persistent fallacy, one in which we ought to be critical of when its underlying (lack of) logic creeps into how we think about interacting with one another. When it comes to interpersonal surveillance, blurring the boundary between care and control can be dangerous. Just as normalising state and corporate surveillance can lead to further erosion of rights and freedoms over time, normalising interpersonal surveillance seems to be changing the landscape of what’s considered to be an expression of love – and not necessarily for the better. We ought to be very critical of claims that equate surveillance with safety.
Note: For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
The inaugural “AI Expo for National Competitiveness” [was] hosted by the Special Competitive Studies Project – better known as the “techno-economic” thinktank created by the former Google CEO and current billionaire Eric Schmidt. The conference’s lead sponsor was Palantir, a software company co-founded by Peter Thiel that’s best known for inspiring 2019 protests against its work with Immigration and Customs Enforcement (Ice) at the height of Trump’s family separation policy. Currently, Palantir is supplying some of its AI products to the Israel Defense Forces. I ... went to a panel in Palantir’s booth titled Civilian Harm Mitigation. It was led by two “privacy and civil liberties engineers” [who] described how Palantir’s Gaia map tool lets users “nominate targets of interest” for “the target nomination process”. It helps people choose which places get bombed. After [clicking] a few options on an interactive map, a targeted landmass lit up with bright blue blobs. These blobs ... were civilian areas like hospitals and schools. Gaia uses a large language model (something like ChatGPT) to sift through this information and simplify it. Essentially, people choosing bomb targets get a dumbed-down version of information about where children sleep and families get medical treatment. “Let’s say you’re operating in a place with a lot of civilian areas, like Gaza,” I asked the engineers afterward. “Does Palantir prevent you from ‘nominating a target’ in a civilian location?” Short answer, no.
Note: "Nominating a target" is military jargon that means identifying a person, place, or object to be attacked with bombs, drones, or other weapons. Palantir's Gaia map tool makes life-or-death decisions easier by turning human lives and civilian places into abstract data points on a screen. Read about Palantir's growing influence in law enforcement and the war machine. For more, watch our 9-min video on the militarization of Big Tech.
The Consumer Financial Protection Bureau (CFPB) has canceled plans to introduce new rules designed to limit the ability of US data brokers to sell sensitive information about Americans, including financial data, credit history, and Social Security numbers. The CFPB proposed the new rule in early December under former director Rohit Chopra, who said the changes were necessary to combat commercial surveillance practices that “threaten our personal safety and undermine America’s national security.” The agency quietly withdrew the proposal on Tuesday morning. Data brokers operate within a multibillion-dollar industry built on the collection and sale of detailed personal information—often without individuals’ knowledge or consent. These companies create extensive profiles on nearly every American, including highly sensitive data such as precise location history, political affiliations, and religious beliefs. Common Defense political director Naveed Shah, an Iraq War veteran, condemned the move to spike the proposed changes, accusing Vought of putting the profits of data brokers before the safety of millions of service members. Investigations by WIRED have shown that data brokers have collected and made cheaply available information that can be used to reliably track the locations of American military and intelligence personnel overseas, including in and around sensitive installations where US nuclear weapons are reportedly stored.
Note: For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
Automakers are increasingly pushing consumers to accept monthly and annual fees to unlock preinstalled safety and performance features, from hands-free driving systems and heated seats to cameras that can automatically record accident situations. But the additional levels of internet connectivity this subscription model requires can increase drivers’ exposure to government surveillance and the likelihood of being caught up in police investigations. Police records recently reviewed by WIRED show US law enforcement agencies regularly trained on how to take advantage of “connected cars,” with subscription-based features drastically increasing the amount of data that can be accessed during investigations. Nearly all subscription-based car features rely on devices that come preinstalled in a vehicle, with a cellular connection necessary only to enable the automaker's recurring-revenue scheme. The ability of car companies to charge users to activate some features is effectively the only reason the car’s systems need to communicate with cell towers. Companies often hook customers into adopting the services through free trial offers, and in some cases the devices are communicating with cell towers even when users decline to subscribe. In a letter sent in April 2024 ... US senators Ron Wyden and Edward Markey ... noted that a range of automakers, from Toyota, Nissan, and Subaru, among others, are willing to disclose location data to the government.
Note: Automakers can collect intimate information that includes biometric data, genetic information, health diagnosis data, and even information on people’s “sexual activities” when drivers pair their smartphones to their vehicles. The automakers can then take that data and sell it or share it with vendors and insurance companies. For more along these lines, read our concise summaries of news articles on police corruption and the disappearance of privacy.
Data that people provide to U.S. government agencies for public services such as tax filing, health care enrollment, unemployment assistance and education support is increasingly being redirected toward surveillance and law enforcement. Originally collected to facilitate health care, eligibility for services and the administration of public services, this information is now shared across government agencies and with private companies, reshaping the infrastructure of public services into a mechanism of control. Once confined to separate bureaucracies, data now flows freely through a network of interagency agreements, outsourcing contracts and commercial partnerships built up in recent decades. Key to this data repurposing are public-private partnerships. The DHS and other agencies have turned to third-party contractors and data brokers to bypass direct restrictions. These intermediaries also consolidate data from social media, utility companies, supermarkets and many other sources, enabling enforcement agencies to construct detailed digital profiles of people without explicit consent or judicial oversight. Palantir, a private data firm and prominent federal contractor, supplies investigative platforms to agencies. These platforms aggregate data from various sources – driver’s license photos, social services, financial information, educational data – and present it in centralized dashboards designed for predictive policing and algorithmic profiling. Data collected under the banner of care could be mined for evidence to justify placing someone under surveillance. And with growing dependence on private contractors, the boundaries between public governance and corporate surveillance continue to erode.
Note: For more along these lines, read our concise summaries of news articles on government corruption and the disappearance of privacy.
Skydio, with more than $740m in venture capital funding and a valuation of about $2.5bn, makes drones for the military along with civilian organisations such as police forces and utility companies. The company moved away from the consumer market in 2020 and is now the largest US drone maker. Military uses touted on its website include gaining situational awareness on the battlefield and autonomously patrolling bases. Skydio is one of a number of new military technology unicorns – venture capital-backed startups valued at more than $1bn – many led by young men aiming to transform the US and its allies’ military capabilities with advanced technology, be it straight-up software or software-imbued hardware. The rise of startups doing defence tech is a “big trend”, says Cynthia Cook, a defence expert at the Center for Strategic and International Studies, a Washington-based-thinktank. She likens it to a contagion – and the bug is going around. According to financial data company PitchBook, investors funnelled nearly $155bn globally into defence tech startups between 2021 and 2024, up from $58bn over the previous four years. The US has more than 1,000 venture capital-backed companies working on “smarter, faster and cheaper” defence, says Dale Swartz from consultancy McKinsey. The types of technologies the defence upstarts are working on are many and varied, though autonomy and AI feature heavily.
Note: For more, watch our 9-min video on the militarization of Big Tech.
The Pentagon’s technologists and the leaders of the tech industry envision a future of an AI-enabled military force wielding swarms of autonomous weapons on land, at sea, and in the skies. Assuming the military does one day build a force with an uncrewed front rank, what happens if the robot army is defeated? Will the nation’s leaders surrender at that point, or do they then send in the humans? It is difficult to imagine the services will maintain parallel fleets of digital and analog weapons. The humans on both sides of a conflict will seek every advantage possible. When a weapon system is connected to the network, the means to remotely defeat it is already built into the design. The humans on the other side would be foolish not to unleash their cyber warriors to find any way to penetrate the network to disrupt cyber-physical systems. The United States may find that the future military force may not even cross the line of departure because it has been remotely disabled in a digital Pearl Harbor-style attack. According to the Government Accountability Office, the Department of Defense reported 12,077 cyber-attacks between 2015 and 2021. The incidents included unauthorized access to information systems, denial of service, and the installation of malware. Pentagon officials created a vulnerability disclosure program in 2016 to engage so-called ethical hackers to test the department’s systems. On March 15, 2024, the program registered its 50,000th discovered vulnerability.
Note: For more, watch our 9-min video on the militarization of Big Tech.
A WIRED investigation into the inner workings of Google’s advertising ecosystem reveals that a wealth of sensitive information on Americans is being openly served up to some of the world’s largest brands despite the company’s own rules against it. Experts say that when combined with other data, this information could be used to identify and target specific individuals. Display & Video 360 (DV360), one of the dominant marketing platforms offered by the search giant, is offering companies globally the option of targeting devices in the United States based on lists of internet users believed to suffer from chronic illnesses and financial distress, among other categories of personal data that are ostensibly banned under Google’s public policies. Among a list of 33,000 audience segments obtained by the ICCL, WIRED identified several that aimed to identify people working sensitive government jobs. One, for instance, targets US government employees who are considered “decision makers” working “specifically in the field of national security.” Another targets individuals who work at companies registered with the State Department to manufacture and export defense-related technologies, from missiles and space launch vehicles to cryptographic systems that house classified military and intelligence data. In the wrong hands, sensitive insights gained through [commercially available information] could facilitate blackmail, stalking, harassment, and public shaming.
Note: For more along these lines, read our concise summaries of news articles on Big Tech and the disappearance of privacy.
On an episode of "The Joe Rogan Experience" released Friday, Meta CEO Mark Zuckerberg painted a picture of Biden administration officials berating Facebook staff during requests to remove certain content from the social media platform. "Basically, these people from the Biden administration would call up our team and, like, scream at them and curse," Zuckerberg told ... Joe Rogan. "It just got to this point where we were like, 'No, we're not gonna, we're not gonna take down things that are true. That's ridiculous.'" In a letter last year to Rep. Jim Jordan, the Republican chair of the House Judiciary Committee, Zuckerberg said that the White House “repeatedly pressured” Facebook to remove “certain COVID-19 content including humor and satire.” Zuckerberg said Facebook, which is owned by Meta, acquiesced at times, while suggesting that different decisions would be made going forward. On Rogan's show, Zuckerberg said the administration had asked Facebook to remove from its platform a meme that showed actor Leonardo DiCaprio pointing at a TV screen advertising a class action lawsuit for people who once took the Covid vaccine."They're like, 'No, you have to take that down,'" Zuckerberg said, adding, "We said, 'No, we're not gonna. We're not gonna take down things that are, that are true.'" Zuckerberg ... also announced that his platforms — Facebook and Instagram — would relax rules related to political content.
Note: Read a former senior NPR editor's nuanced take on how challenging official narratives became so politicized that "politics were blotting out the curiosity and independence that should have been guiding our work." Opportunities for award winning journalism were lost on controversial issues like COVID, the Hunter Biden laptop story, and more. For more along these lines, read our concise summaries of news articles on censorship and Big Tech.
Meta CEO Mark Zuckerberg announced Tuesday that his social media platforms — which include Facebook and Instagram — will be getting rid of fact-checking partners and replacing them with a “community notes” model like that found on X. For a decade now, liberals have wrongly treated Trump’s rise as a problem of disinformation gone wild, and one that could be fixed with just enough fact-checking. Disinformation, though, has been a convenient narrative for a Democratic establishment unwilling to reckon with its own role in upholding anti-immigrant narratives, or repeating baseless fearmongering over crime rates, and failing to support the multiracial working class. Long dead is the idea that social media platforms like X or Instagram are either trustworthy news publishers, sites for liberatory community building, or hubs for digital democracy. “The internet may once have been understood as a commons of information, but that was long ago,” wrote media theorist Rob Horning in a recent newsletter. “Now the main purpose of the internet is to place its users under surveillance, to make it so that no one does anything without generating data, and to assure that paywalls, rental fees, and other sorts of rents can be extracted for information that may have once seemed free but perhaps never wanted to be.” Social media platforms are huge corporations for which we, as users, produce data to be mined as a commodity to sell to advertisers — and government agencies. The CEOs of these corporations are craven and power-hungry.
Note: Read a former senior NPR editor's nuanced take on how challenging official narratives became so politicized that "politics were blotting out the curiosity and independence that should have been guiding our work." Opportunities for award winning journalism were lost on controversial issues like COVID, the Hunter Biden laptop story, and more. For more along these lines, read our concise summaries of news articles on censorship and Big Tech.
Militaries, law enforcement, and more around the world are increasingly turning to robot dogs — which, if we're being honest, look like something straight out of a science-fiction nightmare — for a variety of missions ranging from security patrol to combat. Robot dogs first really came on the scene in the early 2000s with Boston Dynamics' "BigDog" design. They have been used in both military and security activities. In November, for instance, it was reported that robot dogs had been added to President-elect Donald Trump's security detail and were on patrol at his home in Mar-a-Lago. Some of the remote-controlled canines are equipped with sensor systems, while others have been equipped with rifles and other weapons. One Ohio company made one with a flamethrower. Some of these designs not only look eerily similar to real dogs but also act like them, which can be unsettling. In the Ukraine war, robot dogs have seen use on the battlefield, the first known combat deployment of these machines. Built by British company Robot Alliance, the systems aren't autonomous, instead being operated by remote control. They are capable of doing many of the things other drones in Ukraine have done, including reconnaissance and attacking unsuspecting troops. The dogs have also been useful for scouting out the insides of buildings and trenches, particularly smaller areas where operators have trouble flying an aerial drone.
Note: Learn more about the troubling partnership between Big Tech and the military. For more, read our concise summaries of news articles on military corruption.
Air fryers that gather your personal data and audio speakers “stuffed with trackers” are among examples of smart devices engaged in “excessive” surveillance, according to the consumer group Which? The organisation tested three air fryers ... each of which requested permission to record audio on the user’s phone through a connected app. Which? found the app provided by the company Xiaomi connected to trackers for Facebook and a TikTok ad network. The Xiaomi fryer and another by Aigostar sent people’s personal data to servers in China. Its tests also examined smartwatches that it said required “risky” phone permissions – in other words giving invasive access to the consumer’s phone through location tracking, audio recording and accessing stored files. Which? found digital speakers that were preloaded with trackers for Facebook, Google and a digital marketing company called Urbanairship. The Information Commissioner’s Office (ICO) said the latest consumer tests “show that many products not only fail to meet our expectations for data protection but also consumer expectations”. A growing number of devices in homes are connected to the internet, including camera-enabled doorbells and smart TVs. Last Black Friday, the ICO encouraged consumers to check if smart products they planned to buy had a physical switch to prevent the gathering of voice data.
Note: A 2015 New York Times article warned that smart devices were a "train wreck in privacy and security." For more along these lines, read about how automakers collect intimate information that includes biometric data, genetic information, health diagnosis data, and even information on people’s “sexual activities” when drivers pair their smartphones to their vehicles.
The current debate on military AI is largely driven by “tech bros” and other entrepreneurs who stand to profit immensely from militaries’ uptake of AI-enabled capabilities. Despite their influence on the conversation, these tech industry figures have little to no operational experience, meaning they cannot draw from first-hand accounts of combat to further justify arguments that AI is changing the character, if not nature, of war. Rather, they capitalize on their impressive business successes to influence a new model of capability development through opinion pieces in high-profile journals, public addresses at acclaimed security conferences, and presentations at top-tier universities. Three related considerations have combined to shape the hype surrounding military AI. First [is] the emergence of a new military industrial complex that is dependent on commercial service providers. Second, this new defense acquisition process is the cause and effect of a narrative suggesting a global AI arms race, which has encouraged scholars to discount the normative implications of AI-enabled warfare. Finally, while analysts assume that soldiers will trust AI, which is integral to human-machine teaming that facilitates AI-enabled warfare, trust is not guaranteed. Senior officers do not trust AI-enhanced capabilities. To the extent they do demonstrate increased levels of trust in machines, their trust is moderated by how machines are used.
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 military corruption.
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.
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