Police Corruption News Stories
Below are key excerpts of revealing news articles on police corruption 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.
Hardware that breaks into your phone; software that monitors you on the internet; systems that can recognize your face and track your car: The New York State Police are drowning in surveillance tech. Last year alone, the Troopers signed at least $15 million in contracts for powerful new surveillance tools. Surveillance technology has far outpaced traditional privacy laws. In New York, lawmakers launched a years-in-the-making legislative campaign last year to rein in police intrusion. None of their bills have made it out of committee. A report from the U.S. Office of the Director of National Intelligence, put it succinctly: “The government would never have been permitted to compel billions of people to carry location tracking devices on their persons at all times, to log and track most of their social interactions, or to keep flawless records of all their reading habits.” That report called specific attention to the “data broker loophole”: law enforcement’s practice of obtaining data for which they’d otherwise have to obtain a warrant by buying it from brokers. The New York State Police have taken greater and greater advantage of the loophole in recent years. They’ve also spent millions on mobile device forensic tools, or MDFTs, powerful hacking hardware and software that allow users to download full, searchable copies of a cellphone’s data, including social media messages, emails, web and search histories, and minute-by-minute location information.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
Private donors including big-box stores, fossil fuel companies, and tech giants are secretly giving hundreds of millions of dollars annually to law enforcement agencies and related foundations, allowing police to buy specialized weapons and technology with little public oversight. Experts say this huge deluge of police “dark money” funding, detailed in a new University of Chicago working paper ... leaves law enforcement beholden to the companies and powerful donors bankrolling them, rather than the communities that officers are sworn to serve. The study, which analyzed a database of nonprofit tax returns, found that from 2014 to 2019, more than 600 private donors and organizations collectively funneled $461 million to police and to other nonprofits supporting police. The Baltimore Police Department for years used private money to fund a secret aerial surveillance program that could track the locations of people throughout the city in real time. The program ... was eventually ruled unconstitutional in court. In Los Angeles, the city’s police department used money from Target ... routed through a local police foundation — to purchase software from Palantir, venture capitalist Peter Thiel’s data analytics company, that provides police massive amounts of sensitive data and purports to identify crime “hot spots.” For the most part, the millions in dark-money funding that police agencies receive each year is perfectly legal. There are largely no laws or policies governing foundation donations to the police.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
Federal investigators have ordered Google to provide information on all viewers of select YouTube videos. In a just-unsealed case from Kentucky ... undercover cops sought to identify the individual behind the online moniker “elonmuskwhm,” who they suspect of buying bitcoin for cash. In conversations with the user in early January, undercover agents sent links of YouTube tutorials for mapping via drones and augmented reality software, then asked Google for information on who had viewed the videos, which collectively have been watched over 30,000 times. The court orders show the government telling Google to provide the names, addresses, telephone numbers and user activity for all Google account users who accessed the YouTube videos between January 1 and January 8, 2023. The government also wanted the IP addresses of non-Google account owners who viewed the videos. The cops argued, “There is reason to believe that these records would be relevant and material to an ongoing criminal investigation, including by providing identification information about the perpetrators.” The court granted the order and Google was told to keep the request secret. Privacy experts said the orders were unconstitutional because they threatened to undo protections in the 1st and 4th Amendments covering free speech and freedom from unreasonable searches. Albert Fox-Cahn, executive director at the Surveillance Technology Oversight Project [says that] “no one should fear a knock at the door from police simply because of what the YouTube algorithm serves up. I’m horrified that the courts are allowing this.”
Note: The article refers to federal investigators and to undercover cops, but it doesn't specify who was actually doing the investigating. What agency or agencies were involved in these secret operations? 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.
A man filed a federal lawsuit Monday alleging he was paralyzed and needed his legs amputated after police officers in St. Petersburg, Florida, put him in restraints, placed him in the back of a police van without a seatbelt and then drove in a reckless manner. Heriberto Alejandro Sanchez-Mayen filed the lawsuit in US District Court for the Middle District of Florida against the city of St. Petersburg and officers Sarah Gaddis and Michael Thacker. After being handcuffed, Sanchez-Mayen was placed in the back of [a police] van where there were no seatbelts. Thacker allegedly drove “in a reckless manner and at an unsafe rate of speed,” before he suddenly came to a hard stop at an alleged red light, the suit states. The hard stop caused Sanchez-Mayen to be thrown forward, and his head struck a metal partition. After driving to the Pinellas County jail, Thacker opened the rear doors of the van and found Sanchez-Mayen “lying face down, motionless, unconscious, and unresponsive,” the suit states. The officer unsuccessfully attempted to wake him up and then dragged his limp body out of the van, causing Sanchez-Mayen to hit his head on the bumper, the door and the concrete floor. Sanchez-Mayen suffered spinal cord injuries that left him a quadriplegic, or paralyzed in all of his limbs, and resulted in the amputation of both of his legs. The lawsuit states Sanchez-Mayen should not have been arrested in the first place, noting the criminal trespassing charge was later dismissed.
Note: New Haven, Connecticut has agreed to a $45 million settlement with Randy Cox, another man who was paralyzed while being transported handcuffed and without a seat belt in the back of a police van. For more along these lines, see concise summaries of important news articles on police corruption from reliable major media sources.
Police in the U.S. recently combined two existing dystopian technologies in a brand new way to violate civil liberties. A police force in California recently employed the new practice of taking a DNA sample from a crime scene, running this through a service provided by US company Parabon NanoLabs that guesses what the perpetrators face looked like, and plugging this rendered image into face recognition software to build a suspect list. Parabon NanoLabs ... alleges it can create an image of the suspect’s face from their DNA. Parabon NanoLabs claim to have built this system by training machine learning models on the DNA data of thousands of volunteers with 3D scans of their faces. The process is yet to be independently audited, and scientists have affirmed that predicting face shapes—particularly from DNA samples—is not possible. But this has not stopped law enforcement officers from seeking to use it, or from running these fabricated images through face recognition software. Simply put: police are using DNA to create a hypothetical and not at all accurate face, then using that face as a clue on which to base investigations into crimes. This ... threatens the rights, freedom, or even the life of whoever is unlucky enough to look a little bit like that artificial face. These technologies, and their reckless use by police forces, are an inherent threat to our individual privacy, free expression, information security, and social justice.
Note: Law enforcement officers in many U.S. states are not required to reveal that they used face recognition technology to identify suspects. For more along these lines, see concise summaries of important news articles on police corruption and the erosion of civil liberties from reliable major media sources.
American Amara Majeed was accused of terrorism by the Sri Lankan police in 2019. Robert Williams was arrested outside his house in Detroit and detained in jail for 18 hours for allegedly stealing watches in 2020. Randal Reid spent six days in jail in 2022 for supposedly using stolen credit cards in a state he’d never even visited. In all three cases, the authorities had the wrong people. In all three, it was face recognition technology that told them they were right. Law enforcement officers in many U.S. states are not required to reveal that they used face recognition technology to identify suspects. Surveillance is predicated on the idea that people need to be tracked and their movements limited and controlled in a trade-off between privacy and security. The assumption that less privacy leads to more security is built in. That may be the case for some, but not for the people disproportionately targeted by face recognition technology. As of 2019, face recognition technology misidentified Black and Asian people at up to 100 times the rate of white people. In 2018 ... 28 members of the U.S. Congress ... were falsely matched with mug shots on file using Amazon’s Rekognition tool. Much early research into face recognition software was funded by the CIA for the purposes of border surveillance. More recently, private companies have adopted data harvesting techniques, including face recognition, as part of a long practice of leveraging personal data for profit.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
In 2021, bullets flew outside a 7-Eleven during a Bureau of Alcohol, Tobacco, Firearms and Explosives operation in Colorado Springs, Colorado. The same year, U.S. Marshals fired shots inside a barbecue restaurant in the Chicago area, and a firefight erupted during a Drug Enforcement Administration search aboard an Amtrak passenger train in Tucson, Arizona. Three suspects and a federal officer were killed. Miraculously, no bystanders were struck. Had they been local police shootings, they might have generated public demands to release body camera video and use-of-force investigation reports. But they were federal operations, conducted by agents and task forces with four federal law enforcement agencies — the FBI, the ATF, the DEA and the U.S. Marshals Service — in which the use of force remains largely a black box, free from public scrutiny. Those four agencies overseen by the Justice Department, among the most prestigious in the country, have been slow to adopt reforms long embraced by big-city police departments, such as the use of body cameras and the release of comprehensive use-of-force data. From 2018 to 2022, 223 people were shot by an on-duty federal officer, a member of a federal task force or a local officer participating in an operation with federal agents, according to an NBC News analysis. A total of 151 were killed. More than 100 of the shootings were investigated by local prosecutors, with only two resulting in criminal charges for officers.
Note: For more along these lines, see concise summaries of deeply revealing news articles on corruption in intelligence agencies and in police departments from reliable major media sources.
When body-worn cameras were introduced a decade ago, they seemed to hold the promise of a revolution. Once police officers knew they were being filmed, surely they would think twice about engaging in misconduct. And if they crossed the line, they would be held accountable: The public, no longer having to rely on official accounts, would know about wrongdoing. Police and civilian oversight agencies would be able to use footage to punish officers and improve training. In an outlay that would ultimately cost hundreds of millions of dollars, the technology represented the largest new investment in policing in a generation. It was a fix bound to fall far short. As policymakers rushed to equip the police with cameras, they often failed to grapple with a fundamental question: Who would control the footage? They defaulted to leaving police departments ... with the power to decide what is recorded, who can see it and when. Departments across the country have routinely delayed releasing footage, released only partial or redacted video or refused to release it at all. They have frequently failed to discipline or fire officers when body cameras document abuse. We conducted a review of civilians killed by police officers in June 2022, roughly a decade after the first body cameras were rolled out. We counted 79 killings in which there was body-worn-camera footage. A year and a half later, the police have released footage in just 33 cases — or about 42%.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption from reliable major media sources.
A surveillance program now known as Data Analytical Services (DAS) has for more than a decade allowed federal, state, and local law enforcement agencies to mine the details of Americans’ calls, analyzing the phone records of countless people who are not suspected of any crime, including victims. Using a technique known as chain analysis, the program targets not only those in direct phone contact with a criminal suspect but anyone with whom those individuals have been in contact as well. The DAS program, formerly known as Hemisphere, is run in coordination with the telecom giant AT&T, which captures and conducts analysis of US call records for law enforcement agencies, from local police and sheriffs’ departments to US customs offices and postal inspectors across the country, according to a White House memo reviewed by WIRED. Records show that the White House has provided more than $6 million to the program, which allows the targeting of the records of any calls that use AT&T’s infrastructure—a maze of routers and switches that crisscross the United States. Documents released under public records laws show the DAS program has been used to produce location information on criminal suspects and their known associates, a practice deemed unconstitutional without a warrant in 2018. Orders targeting a nexus of individuals are sometimes called “community of interest” subpoenas, a phrase that among privacy advocates is synonymous with dragnet surveillance.
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.
New Yorkers may have noticed an unwelcome guest hovering round their parties. In the lead-up to Labour Day weekend the New York Police Department (NYPD) said that it would use drones to look into complaints about festivities, including back-yard gatherings. Snooping police drones are an increasingly common sight in America. According to a recent survey by researchers at the Northwestern Pritzker School of Law, about a quarter of police forces now use them. Among the NYPD’s suppliers is Skydio, a Silicon Valley firm that uses artificial intelligence (AI) to make drones easy to fly. The NYPD is also buying from BRINC, another startup, which makes flying machines equipped with night-vision cameras that can smash through windows. Facial-recognition software is now used more widely across America, too, with around a tenth of police forces having access to the technology. A report released in September by America’s Government Accountability Office found that six federal law-enforcement agencies, including the FBI and the Secret Service, were together executing an average of 69 facial-recognition searches every day. Among the top vendors listed was Clearview AI. Surveillance capabilities may soon be further fortified by generative AI, of the type that powers ChatGPT, thanks to its ability to work with “unstructured” data such as images and video footage. The technology will let users “search the Earth for objects”, much as Google lets users search the internet.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
Policing expenses mount quickly: $18,000 for technology to unlock cellphones in Southington, Conn.; $2,900 for surveillance cameras and to train officers and canines in New Lexington, Ohio. And in other communities around the country, hundreds of thousands for vehicles, body scanners, and other equipment. State and local governments are turning to a new means to pay those bills: opioid settlement cash. This money — totaling more than $50 billion across 18 years — comes from national settlements with more than a dozen companies that made, sold, or distributed opioid painkillers, including Johnson & Johnson, AmerisourceBergen, and Walmart, which were accused of fueling the epidemic that addicted and killed millions. In August, more than 200 researchers and clinicians delivered a call to action to government officials in charge of opioid settlement funds. "More policing is not the answer to the overdose crisis," they wrote. Years of research suggests law enforcement and criminal justice initiatives have exacerbated the problem. "Police activity is actually causing the very harms that police activity is supposed to be stemming," says Jennifer Carroll, an author of that study and an addiction policy researcher. In Louisiana ... 80% of settlement dollars are flowing to parish governments and 20% to sheriffs' departments. Over the lifetime of the settlements, sheriffs' offices in the state will receive more than $65 million — the largest direct allocation to law enforcement nationwide. And they do not have to account for how they spend it.
Note: Explore past news articles we've summarized on opioids, a crisis fueled by US drug companies and captured government agencies. For more along these lines, see concise summaries of deeply revealing news articles on police corruption from reliable major media sources.
A recent court ruling in Colorado highlighted how Google’s tracking of our locations and web searches helps police find suspects when they have few leads — but it’s also sweeping innocent people into investigations. Google says it has procedures to “protect the privacy of our users while supporting the important work of law enforcement.” But defense attorneys and civil liberties advocates say that Google is a gold mine for novel police methods that they call unconstitutional fishing expeditions. Even if you believe you have nothing to hide from law enforcement, relentless digital tracking of Americans risks our information falling into criminals’ hands, too. Law enforcement officials say that Google’s data on people’s locations and search histories helps solve crimes, including in the 2021 Capitol riot. In initial court-ordered warrants to Google, the company typically gives police information that isn’t connected to people’s identity. Only after they single out potentially suspicious data do the police go back for individually identifiable information. But defense lawyers and privacy advocates say the two types of broad warrants to Google turn normal police work upside down and threaten Americans’ rights. In a typical search warrant, police have a suspect in mind and ask for a judge’s approval to search their home, phone data and other potential evidence. In the large-scale search term and location warrants, police know a crime occurred but don’t know who might have committed it.
Note: Explore news articles we've summarized on the troubling nature of the use of location tracking by governments and corporations. 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.
Silicon Valley techies are pretty sanguine about commercial surveillance. But they are much less cool about government spying. Government employees and contractors are pretty cool with state surveillance. But they are far less cool with commercial surveillance. What are they both missing? That American surveillance is a public-private partnership: a symbiosis between a concentrated tech sector that has the means, motive, and opportunity to spy on every person in the world and a state that loves surveillance as much as it hates checks and balances. The tech sector has powerful allies in government: cops and spies. No government agency could ever hope to match the efficiency and scale of commercial surveillance. Meanwhile, the private sector relies on cops and spies to go to bat for them, lobbying against new privacy laws and for lax enforcement of existing ones. Think of Amazon’s Ring cameras, which have blanketed entire neighborhoods in CCTV surveillance, which Ring shares with law enforcement agencies, sometimes without the consent or knowledge of the cameras’ owners. Ring marketing recruits cops as street teams, showering them with freebies to distribute to local homeowners. Google ... has managed to play both sides of the culture war with its location surveillance, thanks to the “reverse warrants” that cops have used to identify all the participants at both Black Lives Matter protests and the January 6 coup. Distinguishing between state and private surveillance is a fool’s errand.
Note: For more along these lines, see concise summaries of deeply revealing news articles on the disappearance of privacy from reliable major media sources.
As war in Ukraine continues, controversial defense contractors and adjacent companies like Palantir, Anduril, and Clearview AI are taking advantage to develop and level-up controversial AI-driven weapons systems and surveillance technologies. These organizations’ common link? The support of the controversial, yet ever-more powerful Silicon Valley billionaire Peter Thiel. Thiel-backed groups’ involvement in war serves to develop not only problematic and unpredictable weapons technologies and systems, but also apparently to advance and further interconnect a larger surveillance apparatus formed by Thiel and his elite allies’ collective efforts across the public and private sectors, which arguably amount to the entrenchment of a growing technocratic panopticon aimed at capturing public and private life. What’s more, Thiel’s funding efforts signal interest in developing expansive surveillance technologies, especially in the name of combatting “pre-crime” through “predictive policing” style surveillance. As an example, Thiel’s provided significant funds to Israeli intelligence-linked startup Carbyne911 (as did Jeffrey Epstein), which develops call-handling and call-identification capacities for emergency services, and has ... a predictive-policing component. Thiel also assisted in the development and subsequent privatized spinoffs of the US Government’s Defense Advanced Research Projects Agency’s (DARPA) Total Information Awareness project.
Note: Peter Thiel was also recently reported to be an FBI informant. 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 FBI has amassed 21.7 million DNA profiles — equivalent to about 7 percent of the U.S. population — according to Bureau data reviewed by The Intercept. The FBI aims to nearly double its current $56.7 million budget for dealing with its DNA catalog with an additional $53.1 million, according to its budget request for fiscal year 2024. “The requested resources will allow the FBI to process the rapidly increasing number of DNA samples collected by the U.S. Department of Homeland Security,” the appeal for an increase says. “When we’re talking about rapid expansion like this, it’s getting us ever closer to a universal DNA database,” Vera Eidelman, a staff attorney at the American Civil Liberties Union, [said]. “I think the civil liberties implications here are significant.” The rapid growth of the FBI’s sample load is in large part thanks to a Trump-era rule change that mandated the collection of DNA from migrants who were arrested or detained by immigration authorities. Until recently, the U.S. DNA database surpassed even that of authoritarian China, which launched an ambitious DNA collection program in 2017. That year, the BBC reported, the U.S. had about 4 percent of its population’s DNA, while China had about 3 percent. While DNA has played an important role in prosecuting crimes, less than 3 percent of the profiles have assisted in cases, the Bureau’s data reveals. By comparison, fingerprints collected by the FBI from current and former federal employees linked them to crimes at a rate of 12 percent each year.
Note: For more along these lines, see concise summaries of deeply revealing news articles on intelligence agency corruption and the disappearance of privacy from reliable major media sources.
Google maintains one of the world’s most comprehensive repositories of location information. Drawing from phones’ GPS coordinates, plus connections to Wi-Fi networks and cellular towers, it can often estimate a person’s whereabouts to within several feet. It gathers this information in part to sell advertising, but police routinely dip into the data to further their investigations. The use of search data is less common, but that, too, has made its way into police stations throughout the country. Traditionally, American law enforcement obtains a warrant to search the home or belongings of a specific person, in keeping with a constitutional ban on unreasonable searches and seizures. Warrants for Google’s location and search data are, in some ways, the inverse of that process, says Michael Price, the litigation director for the National Association of Criminal Defense Lawyers’ Fourth Amendment Center. Rather than naming a suspect, law enforcement identifies basic parameters—a set of geographic coordinates or search terms—and asks Google to provide hits, essentially generating a list of leads. By their very nature, these Google warrants often return information on people who haven’t been suspected of a crime. In 2018 a man in Arizona was wrongly arrested for murder based on Google location data. Google says it received a record 60,472 search warrants in the US last year, more than double the number from 2019. The company provides at least some information in about 80% of cases.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
From Virginia to Florida, law enforcement all over the US are increasingly using tools called reverse search warrants – including geofence location warrants and keyword search warrants – to come up with a list of suspects who may have committed particular crimes. While the former is used by law enforcement to get tech companies to identify all the devices that were near a certain place at a certain time, the latter is used to get information on everyone who’s searched for a particular keyword or phrase. It’s a practice public defenders, privacy advocates and many lawmakers have criticised, arguing it violates fourth amendment protections against unreasonable searches. Unlike reverse search warrants, other warrants and subpoenas target a specific person that law enforcement has established there is probable cause to believe has committed a specific crime. But geofence warrants are sweeping in nature and are often used to compile a suspect list to further investigate. Google broke out how many geofence warrants it received for the first time in 2021. The company revealed it received nearly 21,000 geofence warrants between 2018 and 2020. The tech giant did not specify how many of those requests it complied with but did share that in the second half of 2020, it responded to 82% of all government requests for data in the US with some level of information. Apple has taken steps to publish its own numbers. In the first half of 2022 the company fielded a total of 13 geofence warrants and complied with none.
Note: The legal world is struggling to keep up with the rise of tech firms building ever more sophisticated means of surveilling people and their devices. 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.
Should the government have to get a warrant before using a drone to spy on your home and backyard? We think so, and in an amicus brief filed last Friday in Long Lake Township v. Maxon, we urged the Michigan Supreme Court to find that warrantless drone surveillance of a home violates the Fourth Amendment. In this case, Long Lake Township hired private operators to repeatedly fly drones over Todd and Heather Maxon’s home to take aerial photos and videos of their property in a zoning investigation. The Township did this without a warrant and then sought to use this documentation in a court case against them. In our brief, we argue that the township’s conduct was governed by and violated the Fourth Amendment and the equivalent section of the Michigan Constitution. Drone prevalence has soared in recent years, fueled by both private and governmental use. We have documented more than 1,471 law enforcement agencies across the United States that operate drones. In some cities, police have begun implementing “drone as first responder” programs, in which drones are constantly flying over communities in response to routine calls for service. Authorities have routinely used aerial surveillance technologies against individuals participating in racial justice movements. Under this backdrop, states like Florida, Maine, Minnesota, Nevada, North Dakota, and Virginia have enacted statutes requiring warrants for police use of drones.
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 call 911 to report an emergency, the odds are increasing that a drone will be the first unit sent to respond. More than 1,500 departments across the country now use them, “mostly for search and rescue as well as to document crime scenes and chase suspects,” according to ... MIT Technology Review. Generally, police drones don’t carry weapons and are used primarily for video surveillance. It is possible for small drones to deliver chemical irritants like tear gas, however, a technology that police in Israel have used against Palestinians. In a report published on Thursday, American Civil Liberties Union Senior Policy Analyst Jay Stanley worries that these kinds of drone programs may normalize usage and “usher in an era of pervasive, suspicionless, mass aerial surveillance.” He notes far more invasive turns that police drone usage could take, including warrantless surveillance of specific people, crime “hotspots” or even whole neighborhoods or cities. Stanley wonders if drone usage won’t just ... “amplify the problems with the deeply broken U.S. criminal legal system.” Many of the cities using drones in policing are doing so from so-called “real-time crime centers.” These units function as centralized hubs to connect the various bits of surveillance and data that police collect from things like stationary cameras, drones, license plate readers and technology that listens for possible gunshots. Some centers can even integrate police body cameras and video from Ring doorbells.
Note: Police have been using military predator drones for domestic law enforcement since 2011. 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.
A young African American man, Randal Quran Reid, was pulled over by the state police in Georgia. He was arrested under warrants issued by Louisiana police for two cases of theft in New Orleans. The arrest warrants had been based solely on a facial recognition match, though that was never mentioned in any police document; the warrants claimed "a credible source" had identified Reid as the culprit. The facial recognition match was incorrect and Reid was released. Reid ... is not the only victim of a false facial recognition match. So far all those arrested in the US after a false match have been black. From surveillance to disinformation, we live in a world shaped by AI. The reason that Reid was wrongly incarcerated had less to do with artificial intelligence than with ... the humans that created the software and trained it. Too often when we talk of the "problem" of AI, we remove the human from the picture. We worry AI will "eliminate jobs" and make millions redundant, rather than recognise that the real decisions are made by governments and corporations and the humans that run them. We have come to view the machine as the agent and humans as victims of machine agency. Rather than seeing regulation as a means by which we can collectively shape our relationship to AI, it becomes something that is imposed from the top as a means of protecting humans from machines. It is not AI but our blindness to the way human societies are already deploying machine intelligence for political ends that should most worry us.
Note: For more along these lines, see concise summaries of deeply revealing news articles on police corruption and the disappearance of privacy from reliable major media sources.
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