Activist Raided By London Police After Downloading Docs Found On Google Search

The raid by four Metropolitan Police constables took place after Southwark campaigner Robert Hutchinson was reportedly accused of illegally entering a password-protected area of a website. “I was searching in Google and found links to board meeting minutes,” he told The Register. “Board reports, none of which were marked confidential. So I have no question that it was in the public domain.” The Southwark News reported that Hutchinson was arrested at 8.20am on 10 June this year at home following allegations made by Leathermarket Community Benefit Society (CBS). The society is a property development firm that wants to build flats over a children’s caged ball court in the south London borough, something Hutchinson “vocally opposes,” according to the local paper.

“There’s a directory, which you need to enter a password and a username to get into. But documents from that area were being published on Google,” explained Hutchinson. “I didn’t see a page saying ‘this is the directors’ area’ or anything like that, the documents were just available. They were just linked directly.” Police said in a statement that Hutchinson was arrested on suspicion of breaking section 1 of Britain’s Computer Misuse Act 1990 “between the 17th and 24th February 2021 and had published documents from the website on social media.” They added: “He was taken into custody and later released under investigation. Following a review of all available evidence, it was determined no offences had been committed and no further action was taken.”

Hutchinson said his identification by Leathermarket and subsequent arrest raised questions in his mind, saying police confirmed to him that the company had handed over an access log containing IP addresses: “Now, how that ended up with me being in the frame, I don’t know. There’s part of this that doesn’t add up…” While the property business did not respond to The Register’s request for comment at the time of publication, in a statement given to the Southwark News it said: “When it came to the CBS’s attention that confidential information had been accessed and subsequently shared via Twitter, the CBS made a general report of the data breach to the police â” who requested a full log of visitor access to the website before deciding whether or not to progress. The police carried out their own independent investigation into who accessed the documents and how, and have now concluded their investigation.” The prepared police statement did not explain whether investigators tested Leathermarket CBS’s version of events before arresting the campaigner.

Police Are Telling ShotSpotter To Alter Evidence From Gunshot-Detecting AI

On May 31 last year, 25-year-old Safarain Herring was shot in the head and dropped off at St. Bernard Hospital in Chicago by a man named Michael Williams. He died two days later. Chicago police eventually arrested the 64-year-old Williams and charged him with murder (Williams maintains that Herring was hit in a drive-by shooting). A key piece of evidence in the case is video surveillance footage showing Williams’ car stopped on the 6300 block of South Stony Island Avenue at 11:46 p.m. – the time and location where police say they know Herring was shot. How did they know that’s where the shooting happened? Police said ShotSpotter, a surveillance system that uses hidden microphone sensors to detect the sound and location of gunshots, generated an alert for that time and place. Except that’s not entirely true, according to recent court filings.

That night, 19 ShotSpotter sensors detected a percussive sound at 11:46 p.m. and determined the location to be 5700 South Lake Shore Drive – a mile away from the site where prosecutors say Williams committed the murder, according to a motion filed by Williams’ public defender. The company’s algorithms initially classified the sound as a firework. That weekend had seen widespread protests in Chicago in response to George Floyd’s murder, and some of those protesting lit fireworks. But after the 11:46 p.m. alert came in, a ShotSpotter analyst manually overrode the algorithms and “reclassified” the sound as a gunshot. Then, months later and after “post-processing,” another ShotSpotter analyst changed the alert’s coordinates to a location on South Stony Island Drive near where Williams’ car was seen on camera. “Through this human-involved method, the ShotSpotter output in this case was dramatically transformed from data that did not support criminal charges of any kind to data that now forms the centerpiece of the prosecution’s murder case against Mr. Williams,” the public defender wrote in the motion.

The document is what’s known as a Frye motion – a request for a judge to examine and rule on whether a particular forensic method is scientifically valid enough to be entered as evidence. Rather than defend ShotSpotter’s technology and its employees’ actions in a Frye hearing, the prosecutors withdrew all ShotSpotter evidence against Williams. The case isn’t an anomaly, and the pattern it represents could have huge ramifications for ShotSpotter in Chicago, where the technology generates an average of 21,000 alerts each year. The technology is also currently in use in more than 100 cities. Motherboard’s review of court documents from the Williams case and other trials in Chicago and New York State, including testimony from ShotSpotter’s favored expert witness, suggests that the company’s analysts frequently modify alerts at the request of police departments – some of which appear to be grasping for evidence that supports their narrative of events.

Maine Passes Facial Recognition

The new law prohibits government use of facial recognition except in specifically outlined situations, with the most broad exception being if police have probable cause that an unidentified person in an image committed a serious crime, or for proactive fraud prevention. Since Maine police will not have access to facial recognition, they will be able to ask the FBI and Maine Bureau of Motor Vehicles (BMV) to run these searches.

Crucially, the law plugs loopholes that police have used in the past to gain access to the technology, like informally asking other agencies or third parties to run backchannel searches for them. Logs of all facial recognition searches by the BMV must be created and are designated as public records. The only other state-wide facial recognition law was enacted by Washington in 2020, but many privacy advocates were dissatisfied with the specifics of the law. Maine’s new law also gives citizens the ability to sue the state if they’ve been unlawfully targeted by facial recognition, which was notably absent from Washington’s regulation. If facial recognition searches are performed illegally, they must be deleted and cannot be used as evidence.

A Government Watchdog May Have Missed Clearview AI Use By Five Federal Agencies

A government inquiry into federal agencies’ deployment of facial recognition may have overlooked some organizations’ use of popular biometric identification software Clearview AI, calling into question whether authorities can understand the extent to which the emerging technology has been used by taxpayer-funded entities. In a 92-page report published by the Government Accountability Office on Tuesday, five agencies — the US Capitol Police, the US Probation Office, the Pentagon Force Protection Agency, Transportation Security Administration, and the Criminal Investigation Division at the Internal Revenue Service — said they didn’t use Clearview AI between April 2018 and March 2020. This, however, contradicts internal Clearview data previously reviewed by BuzzFeed News.

In April, BuzzFeed News revealed that those five agencies were among more than 1,800 US taxpayer-funded entities that had employees who tried or used Clearview AI, based on internal company data. As part of that story, BuzzFeed News published a searchable table disclosing all the federal, state, and city government organizations whose employees are listed in the data as having used the facial recognition software as of February 2020. While the GAO was tasked with “review[ing] federal law enforcement use of facial recognition technology,” the discrepancies between the report, which was based on survey responses and BuzzFeed News’ past reporting, suggest that even the US government may not be equipped to track how its own agencies access to surveillance tools like Clearview. The GAO report surveyed 42 federal agencies in total, 20 of which reported that they either owned their own facial recognition system or used one developed by a third party between April 2018 and March 2020. Ten federal agencies — including Immigration and Customs Enforcement and Customs and Border Protection — said they specifically used Clearview AI.

How Big Tech created a data ‘treasure trove’ for police

When U.S. law enforcement officials need to cast a wide net for information, they’re increasingly turning to the vast digital ponds of personal data created by Big Tech companies via the devices and online services that have hooked billions of people around the world.

Data compiled by four of the biggest tech companies shows that law enforcement requests for user information — phone calls, emails, texts, photos, shopping histories, driving routes and more — have more than tripled in the U.S. since 2015. Police are also increasingly savvy about covering their tracks so as not to alert suspects of their interest.

That’s the backdrop for recent revelations that the Trump-era U.S. Justice Department sought data from Apple, Microsoft and Google about members of Congress, their aides and news reporters in leak investigations — then pursued court orders that blocked those companies from informing their targets.

In just the first half of 2020 — the most recent data available — Apple, Google, Facebook and Microsoft together fielded more than 112,000 data requests from local, state and federal officials. The companies agreed to hand over some data in 85% of those cases. Facebook, including its Instagram service, accounted for the largest number of disclosures.

Consider Newport, a coastal city of 24,000 residents that attracts a flood of summer tourists. Fewer than 100 officers patrol the city — but they make multiple requests a week for online data from tech companies.

That’s because most crimes — from larceny and financial scams to a recent fatal house party stabbing at a vacation rental booked online — can be at least partly traced on the internet. Tech providers, especially social media platforms, offer a “treasure trove of information” that can help solve them, said Lt. Robert Salter, a supervising police detective in Newport.

How Law Enforcement Gets Around Your Smartphone’s Encryption

Lawmakers and law enforcement agencies around the world, including in the United States, have increasingly called for backdoors in the encryption schemes that protect your data, arguing that national security is at stake. But new research indicates governments already have methods and tools that, for better or worse, let them access locked smartphones thanks to weaknesses in the security schemes of Android and iOS.

Cryptographers at Johns Hopkins University used publicly available documentation from Apple and Google as well as their own analysis to assess the robustness of Android and iOS encryption. They also studied more than a decade’s worth of reports about which of these mobile security features law enforcement and criminals have previously bypassed, or can currently, using special hacking tools…

once you unlock your device the first time after reboot, lots of encryption keys start getting stored in quick access memory, even while the phone is locked. At this point an attacker could find and exploit certain types of security vulnerabilities in iOS to grab encryption keys that are accessible in memory and decrypt big chunks of data from the phone. Based on available reports about smartphone access tools, like those from the Israeli law enforcement contractor Cellebrite and US-based forensic access firm Grayshift, the researchers realized that this is how almost all smartphone access tools likely work right now. It’s true that you need a specific type of operating system vulnerability to grab the keys — and both Apple and Google patch as many of those flaws as possible — but if you can find it, the keys are available, too…

Forensic tools exploiting the right vulnerability can grab even more decryption keys, and ultimately access even more data, on an Android phone.

Surveillance Compounded: Real-Time Crime Centers in the United States

Over the last two decades, law enforcement agencies across the United States have been obtaining more and more sophisticated surveillance technologies to collect data. Technologies such as networked cameras, automated license plate readers, and gunshot detection are deployed around the clock, as are the tools to process this data, such as predictive policing software and AI-enhanced video analytics. The last five years have seen a distinct trend in which police have begun deploying all of this technology in conjunction with one another. The technologies, working in concert, are being consolidated and fed into physical locations called Real-Time Crime Centers (RTCCs). These high-tech hubs, filled with walls of TV monitors and computer workstations for sworn officers and civilian analysts, not only exploit huge amounts of data, but also are used to justify an increase in surveillance technology through new “data-driven” or “intelligence-led” policing strategies.

As part of the Atlas of Surveillance project, the Electronic Frontier Foundation and students from the Reynolds School of Journalism at the University of Nevada, Reno have identified more than 80 RTCCs across the United States, with heavy concentrations in the South and the Northeast. In this report, we highlight the capabilities and controversies surrounding 7 of these facilities. As this trend expands, it is crucial that the public understands how the technologies are combined to collect data about people as they move through their day-to-day lives.

France Bans Use of Drones To Police Protests In Paris

The Council of State said Paris police prefect Didier Lallement should halt “without delay” drone surveillance of gatherings on public roads. The ruling comes weeks after MPs backed a controversial security bill that includes police use of drones. Its main aim is to regulate how people share film or photos of police.

Privacy rights group La Quadrature du Net (LQDN) has argued that the bill’s main measures violate freedom of expression and that drones equipped with cameras cannot keep the peace but track individuals instead. The Council of State ruled there was “serious doubt over the legality” of drones without a prior text authorizing and setting out their use. LQDN said the only way the government could legalize drone surveillance now was in providing “impossible proof” that it was absolutely necessary to maintain law and order. The decision is the second setback in months for Parisian authorities’ drone plans. In May, the same court ruled that drones could not be used in the capital to track people in breach of France’s strict lockdown rules.

Police Will Pilot a Program to Live-Stream Amazon Ring Cameras

The police surveillance center in Jackson, Mississippi, will be conducting a 45-day pilot program to live stream the Amazon Ring cameras of participating residents.

While people buy Ring cameras and put them on their front door to keep their packages safe, police use them to build comprehensive CCTV camera networks blanketing whole neighborhoods. This serves two police purposes. First, it allows police departments to avoid the cost of buying surveillance equipment and to put that burden onto consumers by convincing them they need cameras to keep their property safe. Second, it evades the natural reaction of fear and distrust that many people would have if they learned police were putting up dozens of cameras on their block, one for every house.

Now, our worst fears have been confirmed. Police in Jackson, Mississippi, have started a pilot program that would allow Ring owners to patch the camera streams from their front doors directly to a police Real Time Crime Center. The footage from your front door includes you coming and going from your house, your neighbors taking out the trash, and the dog walkers and delivery people who do their jobs in your street. In Jackson, this footage can now be live streamed directly onto a dozen monitors scrutinized by police around the clock. Even if you refuse to allow your footage to be used that way, your neighbor’s camera pointed at your house may still be transmitting directly to the police.

Google is Giving Data To Police Based on Search Keywords, Court Docs Show

There are few things as revealing as a person’s search history, and police typically need a warrant on a known suspect to demand that sensitive information. But a recently unsealed court document found that investigators can request such data in reverse order by asking Google to disclose everyone who searched a keyword rather than for information on a known suspect.

In August, police arrested Michael Williams, an associate of singer and accused sex offender R. Kelly, for allegedly setting fire to a witness’ car in Florida. Investigators linked Williams to the arson, as well as witness tampering, after sending a search warrant to Google that requested information on “users who had searched the address of the residence close in time to the arson.”

The July court filing was unsealed on Tuesday. Detroit News reporter Robert Snell tweeted about the filing after it was unsealed. Court documents showed that Google provided the IP addresses of people who searched for the arson victim’s address, which investigators tied to a phone number belonging to Williams. Police then used the phone number records to pinpoint the location of Williams’ device near the arson, according to court documents. The original warrant sent to Google is still sealed, but the report provides another example of a growing trend of data requests to the search engine giant in which investigators demand data on a large group of users rather than a specific request on a single suspect. “This ‘keyword warrant’ evades the Fourth Amendment checks on police surveillance,” said Albert Fox Cahn, the executive director of the Surveillance Technology Oversight Project. “When a court authorizes a data dump of every person who searched for a specific term or address, it’s likely unconstitutional.”

Police Are Using Facial Recognition For Minor Crimes, ‘Because They Can’

In a recent court filing, the New York police department noted that it’s turned to facial recognition in more than 22,000 cases in the last three years. “Even though the NYPD claims facial recognition is only used for serious crimes, the numbers tell a different story,” said Albert Fox Cahn, the executive director of the Surveillance Technology Oversight Project. “As facial recognition continues to grow, it’s being routinely deployed for everything from shoplifting to graffiti.”

Asked for comment, an NYPD spokeswoman pointed to a 2019 opinion article by police commissioner James O’Neill titled “How Facial Recognition Makes You Safer.” In the piece, O’Neill talked about how facial recognition had been used to make arrests in murder, robbery and rape cases, but he didn’t disclose how often it was used for low-level crimes. The department’s facial recognition policy, established in March, allows the technology to be used for any crime, no matter the severity. Without any limits, police have more frequently used the technology for petty thefts than the dangerous crimes, privacy advocates say. Before Amazon put a moratorium on police use of its Rekognition face-identifying software, the program was used in a $12 shoplifting case in Oregon in 2018…

Without any limits, police can use facial recognition however they please, and in many cases, arrested suspects don’t even know that the flawed technology was used… Attorneys representing protesters in Miami didn’t know that police used facial recognition in their arrests, according to an NBC Miami report. Police used facial recognition software in a $50 drug dealing case in Florida in 2016 but made no mention of it in the arrest report.

The article also notes that as recently as this Tuesday, Hoan Ton-That, the CEO of facial recognition startup Clearview AI “said it isn’t the company’s responsibility to make sure its technology is being properly used by its thousands of police partners.

“Though the company has its own guidelines, Ton-That said Clearview AI wouldn’t be enforcing them, saying that ‘it’s not our job to set the policy as a tech company…'”

Police complain about surveillance “going dark” but they are frequently breaking encryption far more than previously known

In a new Apple ad, a man on a city bus announces he has just shopped for divorce lawyers. Then a woman recites her credit card number through a megaphone in a park. “Some things shouldn’t be shared,” the ad says, “iPhone helps keep it that way.” Apple has built complex encryption into iPhones and made the devices’ security central to its marketing pitch. That, in turn, has angered law enforcement. Officials from the F.B.I. director to rural sheriffs have argued that encrypted phones stifle their work to catch and convict dangerous criminals. They have tried to force Apple and Google to unlock suspects’ phones, but the companies say they can’t. In response, the authorities have put their own marketing spin on the problem. Law enforcement, they say, is “going dark.” Yet new data reveals a twist to the encryption debate that undercuts both sides: Law enforcement officials across the nation regularly break into encrypted smartphones.

That is because at least 2,000 law enforcement agencies in all 50 states now have tools to get into locked, encrypted phones and extract their data, according to years of public records collected in a report by Upturn, a Washington nonprofit that investigates how the police use technology. At least 49 of the 50 largest U.S. police departments have the tools, according to the records, as do the police and sheriffs in small towns and counties across the country, including Buckeye, Ariz.; Shaker Heights, Ohio; and Walla Walla, Wash. And local law enforcement agencies that don’t have such tools can often send a locked phone to a state or federal crime lab that does. With more tools in their arsenal, the authorities have used them in an increasing range of cases, from homicides and rapes to drugs and shoplifting, according to the records, which were reviewed by The New York Times. Upturn researchers said the records suggested that U.S. authorities had searched hundreds of thousands of phones over the past five years. While the existence of such tools has been known for some time, the records show that the authorities break into phones far more than previously understood — and that smartphones, with their vast troves of personal data, are not as impenetrable as Apple and Google have advertised. While many in law enforcement have argued that smartphones are often a roadblock to investigations, the findings indicate that they are instead one of the most important tools for prosecutions.

Google is Giving Data To Police Based on Search Keywords, Court Docs Show

There are few things as revealing as a person’s search history, and police typically need a warrant on a known suspect to demand that sensitive information. But a recently unsealed court document found that investigators can request such data in reverse order by asking Google to disclose everyone who searched a keyword rather than for information on a known suspect.

In August, police arrested Michael Williams, an associate of singer and accused sex offender R. Kelly, for allegedly setting fire to a witness’ car in Florida. Investigators linked Williams to the arson, as well as witness tampering, after sending a search warrant to Google that requested information on “users who had searched the address of the residence close in time to the arson.”

The July court filing was unsealed on Tuesday. Detroit News reporter Robert Snell tweeted about the filing after it was unsealed. Court documents showed that Google provided the IP addresses of people who searched for the arson victim’s address, which investigators tied to a phone number belonging to Williams. Police then used the phone number records to pinpoint the location of Williams’ device near the arson, according to court documents. The original warrant sent to Google is still sealed, but the report provides another example of a growing trend of data requests to the search engine giant in which investigators demand data on a large group of users rather than a specific request on a single suspect. “This ‘keyword warrant’ evades the Fourth Amendment checks on police surveillance,” said Albert Fox Cahn, the executive director of the Surveillance Technology Oversight Project. “When a court authorizes a data dump of every person who searched for a specific term or address, it’s likely unconstitutional.”

European Police Malware Could Harvest GPS, Messages, Passwords, More

The malware that French law enforcement deployed en masse onto Encrochat devices, a large encrypted phone network using Android phones, had the capability to harvest “all data stored within the device,” and was expected to include chat messages, geolocation data, usernames, passwords, and more, according to a document obtained by Motherboard. From the report:
The document adds more specifics around the law enforcement hack and subsequent takedown of Encrochat earlier this year. Organized crime groups across Europe and the rest of the world heavily used the network before its seizure, in many cases to facilitate large scale drug trafficking. The operation is one of, if not the, largest law enforcement mass hacking operation to date, with investigators obtaining more than a hundred million encrypted messages. “The NCA has been collaborating with the Gendarmerie on Encrochat for over 18 months, as the servers are hosted in France. The ultimate objective of this collaboration has been to identify and exploit any vulnerability in the service to obtain content,” the document reads, referring to both the UK’s National Crime Agency and one of the national police forces of France. As well as the geolocation, chat messages, and passwords, the law enforcement malware also told infected Encrochat devices to provide a list of WiFi access points near the device, the document reads.

Police Across Canada Are Using Predictive Policing Algorithms, Report Finds

Police across Canada are increasingly using controversial algorithms to predict where crimes could occur, who might go missing, and to help them determine where they should patrol, despite fundamental human rights concerns, a new report has found.

To Surveil and Predict: A Human Rights Analysis of Algorithmic Policing in Canada is the result of a joint investigation by the University of Toronto’s International Human Rights Program (IHRP) and Citizen Lab. It details how, in the words of the report’s authors, “law enforcement agencies across Canada have started to use, procure, develop, or test a variety of algorithmic policing methods,” with potentially dire consequences for civil liberties, privacy and other Charter rights, the authors warn.

The report breaks down how police are using or considering the use of algorithms for several purposes including predictive policing, which uses historical police data to predict where crime will occur in the future. Right now in Canada, police are using algorithms to analyze data about individuals to predict who might go missing, with the goal of one day using the technology in other areas of the criminal justice system. Some police services are using algorithms to automate the mass collection and analysis of public data, including social media posts, and to apply facial recognition to existing mugshot databases for investigative purposes. “Algorithmic policing technologies are present or under consideration throughout Canada in the forms of both predictive policing and algorithmic surveillance tools.” the report reads

Clearview AI CEO Says ‘Over 2,400 Police Agencies’ Are Using Its Facial Recognition Software

More than 2,400 police agencies have entered contracts with Clearview AI, a controversial facial recognition firm, according to comments made by Clearview AI CEO Hoan Ton-That in an interview with Jason Calacanis on YouTube.

The hour-long interview references an investigation by The New York Times published in January, which detailed how Clearview AI scraped data from sites including Facebook, YouTube, and Venmo to build its database. The scale of that database and the methods used to construct it were already controversial before the summer of protests against police violence. “It’s an honor to be at the center of the debate now and talk about privacy,” Ton-That says in the interview, going on to call the Times investigation “actually extremely fair.” “Since then, there’s been a lot of controversy, but fundamentally, this is such a great tool for society,” Ton-That says.

Ton-That also gave a few more details on how the business runs. Clearview is paid depending on how many licenses a client adds, among other factors, but Ton-That describes the licenses as “pretty inexpensive, compared to what’s come previously” in his interview. Ton-That ballparks Clearview’s fees as $2,000 a year for each officer with access. According to Ton-That, Clearview AI is primarily used by detectives.

Clearview AI was used at least once to identify protesters in Miami.

Facial recognition was also used by the New York Police Department to arrest an activist during the Black Lives Matter uprising this summer. According to a BuzzFeed News report in February, NYPD was at the time the largest user of Clearview AI — where more than 30 officers had Clearview accounts.

Police in Several US Cities Used Facial Recognition To Hunt Down and Arrest Protesters

Law enforcement in several cities, including New York and Miami, have reportedly been using controversial facial recognition software to track down and arrest individuals who allegedly participated in criminal activity during Black Lives Matter protests months after the fact. Miami police used Clearview AI to identify and arrest a woman for allegedly throwing a rock at a police officer during a May protest, local NBC affiliate WTVJ reported this week…

Similar reports have surfaced from around the country in recent weeks. Police in Columbia, South Carolina, and the surrounding county likewise used facial recognition, though from a different vendor, to arrest several protesters after the fact, according to local paper The State. Investigators in Philadelphia also used facial recognition software, from a third vendor, to identify protestors from photos posted to Instagram, The Philadelphia Inquirer reported.

Surveillance Company Banjo Used a Secret Company and Fake Apps To Scrape Social Media

Banjo, an artificial intelligence firm that works with police used a shadow company to create an array of Android and iOS apps that looked innocuous but were specifically designed to secretly scrape social media. The news signifies an abuse of data by a government contractor, with Banjo going far beyond what companies which scrape social networks usually do. Banjo created a secret company named Pink Unicorn Labs, according to three former Banjo employees, with two of them adding that the company developed the apps. This was done to avoid detection by social networks, two of the former employees said.

Three of the apps created by Pink Unicorn Labs were called “One Direction Fan App,” “EDM Fan App,” and “Formula Racing App.” Motherboard found these three apps on archive sites and downloaded and analyzed them, as did an independent expert. The apps — which appear to have been originally compiled in 2015 and were on the Play Store until 2016 according to Google — outwardly had no connection to Banjo, but an analysis of its code indicates connections to the company. This aspect of Banjo’s operation has some similarities with the Cambridge Analytica scandal, with multiple sources comparing the two incidents. […] The company has not publicly explained how it specifically scrapes social media apps. Motherboard found the apps developed by Pink Unicorn Labs included code mentioning signing into Facebook, Twitter, Instagram, Russian social media app VK, FourSquare, Google Plus, and Chinese social network Sina Weibo.
The apps could have scraped social media “by sending the saved login token to a server for Banjo to use later, or by using the app itself to scrape information,” reports Motherboard, noting that it’s not entirely clear which method Banjo used. “Motherboard found that the apps when opened made web requests to the domain ‘pulapi.com,’ likely referring to Pink Unicorn Labs, but the site that would provide a response to the app is currently down.”

Last weekend, Motherboard reported that Banjo signed a $20.7 million contract with Utah in 2019 that granted the company access to the state’s traffic, CCTV, and public safety cameras. “Banjo promises to combine that input with a range of other data such as satellites and social media posts to create a system that it claims alerts law enforcement of crimes or events in real-time.”

Cops Around the World Are Using An Outlandish Mind-Reading Tool

ProPublica reports that dozens of state and local agencies have purchased “SCAN” training from a company called LSI for reviewing a suspect’s written statements — even though there’s no scientific evidence that it works.

Local, state and federal agencies from the Louisville Metro Police Department to the Michigan State Police to the U.S. State Department have paid for SCAN training. The LSI website lists 417 agencies nationwide, from small-town police departments to the military, that have been trained in SCAN — and that list isn’t comprehensive, because additional ones show up in procurement databases and in public records obtained by ProPublica. Other training recipients include law enforcement agencies in Australia, Belgium, Canada, Israel, Mexico, the Netherlands, Singapore, South Africa and the United Kingdom, among others…

For Avinoam Sapir, the creator of SCAN, sifting truth from deception is as simple as one, two, three.

1. Give the subject a pen and paper.
2. Ask the subject to write down his/her version of what happened.
3. Analyze the statement and solve the case.

Those steps appear on the website for Sapir’s company, based in Phoenix. “SCAN Unlocks the Mystery!” the homepage says, alongside a logo of a question mark stamped on someone’s brain. The site includes dozens of testimonials with no names attached. “Since January when I first attended your course, everybody I meet just walks up to me and confesses!” one says. Another testimonial says “The Army finally got its money’s worth…” SCAN saves time, the site says. It saves money. Police can fax a questionnaire to a hundred people at once, the site says. Those hundred people can fax it back “and then, in less than an hour, the investigator will be able to review the questionnaires and solve the case.”

In 2009 the U.S. government created a special interagency task force to review scientific studies and independently investigate which interrogation techniques worked, assessed by the FBI, CIA and the U.S. Department of Defense. “When all 12 SCAN criteria were used in a laboratory study, SCAN did not distinguish truth-tellers from liars above the level of chance,” the review said, also challenging two of the method’s 12 criteria. “Both gaps in memory and spontaneous corrections have been shown to be indicators of truth, contrary to what is claimed by SCAN.”
In a footnote, the review identified three specific agencies that use SCAN: the FBI, CIA and U.S. Army military intelligence, which falls under the Department of Defense…

In 2016, the same year the federal task force released its review of interrogation techniques, four scholars published a study on SCAN in the journal Frontiers in Psychology. The authors — three from the Netherlands, one from England — noted that there had been only four prior studies in peer-reviewed journals on SCAN’s effectiveness. Each of those studies (in 1996, 2012, 2014 and 2015) concluded that SCAN failed to help discriminate between truthful and fabricated statements. The 2016 study found the same. Raters trained in SCAN evaluated 234 statements — 117 true, 117 false. Their results in trying to separate fact from fiction were about the same as chance….

Steven Drizin, a Northwestern University law professor who specializes in wrongful convictions, said SCAN and assorted other lie-detection tools suffer from “over-claim syndrome” — big claims made without scientific grounding. Asked why police would trust such tools, Drizin said: “A lot has to do with hubris — a belief on the part of police officers that they can tell when someone is lying to them with a high degree of accuracy. These tools play in to that belief and confirm that belief.”

SCAN’s creator “declined to be interviewed for this story,” but they spoke to some users of the technique. Travis Marsh, the head of an Indiana sheriff’s department, has been using the tool for nearly two decades, while acknowledging that he can’t explain how it works. “It really is, for lack of a better term, a faith-based system because you can’t see behind the curtain.”

Pro Publica also reports that “Years ago his wife left a note saying she and the kids were off doing one thing, whereas Marsh, analyzing her writing, could tell they had actually gone shopping. His wife has not left him another note in at least 15 years…”

US Police Already Using ‘Spot’ Robot From Boston Dynamics In the Real World

Massachusetts State Police (MSP) has been quietly testing ways to use the four-legged Boston Dynamics robot known as Spot, according to new documents obtained by the American Civil Liberties Union of Massachusetts. And while Spot isn’t equipped with a weapon just yet, the documents provide a terrifying peek at our RoboCop future.

The Spot robot, which was officially made available for lease to businesses last month, has been in use by MSP since at least April 2019 and has engaged in at least two police “incidents,” though it’s not clear what those incidents may have been. It’s also not clear whether the robots were being operated by a human controller or how much autonomous action the robots are allowed. MSP did not respond to Gizmodo’s emails on Monday morning.

The newly obtained documents, first reported by Ally Jarmanning at WBUR in Boston, include emails and contracts that shed some light on how police departments of the future may use robots to engage suspects without putting human police in harm’s way. In one document written by Lt. Robert G. Schumaker robots are described as an “invaluable component of tactical operations” that are vital to support the state’s “Homeland Security Strategy.” […] The question that remains is whether the American public will simply accept robocops as our reality now. Unfortunately, it seems like we may not have any choice in the matter — especially when the only way that we can learn about this new robot-police partnership is through records requests by the ACLU. And even then, we’re still largely in the dark about how these things will be used.