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Australia Considers Smart Glasses Ban in Government Workplaces, While 70 People Sue Meta Over Unknowing Data Collection

"Australia is considering barring the use of camera-equipped smart glasses in government workplaces..." reports Reuters, "in what it said could be the first ban of its kind." But meanwhile "more than 70 people who bought, used or were recorded with Meta's smart glasses have sued the social media giant," reports the Los Angeles Times, "claiming their intimate and sensitive images were exposed to workers abroad who are paid to review and label photos and videos." The contractors in Kenya work for companies that help train Meta's artificial intelligence, according to a proposed class-action lawsuit amended in late August. The smart glasses users, some in California, allege the gadget captured footage of themselves and family members undressing, going to the bathroom, having sex and entering passwords. In some cases, the people said they weren't aware the camera-equipped glasses were recording. One California user, referred to as PL18 in the lawsuit, alleges his glasses were unknowingly recording after he placed the smart glasses on the bathroom counter. "He noticed that at times photos of his family members using the bathroom and bathing began appearing in his gallery — footage no one in his household intended to take," the lawsuit said.... The 230-page lawsuit, filed in a federal court in Northern California, accuses Meta of fraud and false advertising, along with violating other consumer protection laws in various states. Tina Wolfson, one of the lawyers representing the plaintiffs, said the case also centers on Meta's surveillance of people's lives without their consent and the exploitation of their image and likeness. "People who bought these glasses and thought that they were cool gadgets weren't aware that every time they activated AI, video was sent to train Meta's AI," said Wolfson, a principal at law firm Ahdoot & Wolfson in Burbank. Meta disagrees with the allegations and intends to fight them. "If you use Meta AI, we may review that data to help improve our products and people's experiences — this works the same way as many other companies. We take steps to filter this data to help remove identifying information and to protect people's privacy," a Meta spokesperson said in a statement... The lawsuit alleges people wearing the smart glasses were unwittingly transmitting data to Meta whenever they used Meta AI by saying "Hey Meta," or sometimes accidentally when adjusting the glasses. "Every activation of the AI features, intentional or accidental, captures video and audio that is transmitted to Meta's servers, routed overseas, and reviewed by low-paid human workers who watch, label, and embed these moments into Meta's AI models," the lawsuit said... The lawsuit also seeks to block Meta from deploying biometric tools through its glasses. The company has been exploring a controversial feature called "NameTag" that would allow people to identify others... A separate lawsuit, filed in September in a federal court in Illinois, alleges Meta has been using images of people's faces uploaded to their public Facebook and Instagram accounts to train AI that powers NameTag and other AI tools.

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Customer-Losing Flock Now Offers Buyouts to Avoid Laying Off Employees

Mashable writes: Flock Safety offered employees voluntary buyouts on Friday, WIRED reported... Without the buyouts, those familiar with the situation suspect the company would have to lay off some of its 1,500 employees. WIRED writes that people familiar with the program "say they believe that a significant number of the startup's roughly 1,500 employees may try to depart." Flock is making the severance offers as it continues to lose customers... The company has had many of its contracts either not extended or dropped this year, which could leave it short of revenue goals, according to two of the people. A wave of vandalism targeting its cameras has unexpectedly increased expenses. Without buyouts, Flock almost certainly would have to lay off some staff, one of the people believes... People familiar with Flock's severance plan tell WIRED that some employees may take the offer amid speculation that the company, which has raised about $1.2 billion in venture capital, might resort to selling off parts or all of its business to stay afloat... One advocacy group identified 93 city and county governments that cut ties with Flock in August alone. Overall in 2026, roughly three times as many local governments have dropped Flock compared to the previous five years. Flock has recently been building products that extend the company beyond its core license plate reader offering. WIRED reported last month that the company has developed AI-powered investigative software to identify drivers, find potential associates based on patterns of movement, and search across police records and other data. A separate WIRED analysis of Flock's software found tools designed to continuously search camera feeds for people matching written descriptions. WIRED's analysis of Flock's code also found potential integrations with drones and other surveillance systems. Flock's financial scrambles might explain an incident in Syracuse, New York. The nonprofit news site Central Current discovered the city's contract said its license plate data wouldn't be shared outside the police department, reports Mashable: But the department had granted access to other agencies, which police said was an accident. Over roughly a year, searches by officers around the country reached Syracuse's data nearly 4.4 million times. And that wasn't the only surprise in the paperwork. Central Current also found that Flock could keep using Syracuse data after the contract ended. When the city approved cameras from Axon to replace Flock's, Flock said Syracuse couldn't simply end its agreement early. It warned that the city might have to pay for both systems; so even as officials moved to replace the cameras, they faced questions about what Flock could do with the data and what the city might still owe. Meanwhile, the Texas Department of Transportation "has stopped issuing permits allowing Flock cameras and other automated license plate readers to be installed along state roads..." reports the Texas Tribune. "There were an estimated 13,000 Flock cameras across Texas in August, but hundreds of the devices have been shut down after [governor] Abbott's funding freeze." And in August Florida's Republican Governor "ordered his state's transportation department to remove the cameras from state roads, saying he didn't want 'a surveillance state.'"

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Hackers Stole Flock's Camera Software, Revealing How the Company Tracks Cars and People

"Hackers ripped down a Flock camera above a roadway, made a near-complete copy of the data stored inside it, and shared the files with 404 Media and WIRED," according to an article published on both sites. Though Flock has described its system as protected by on-device encryption, "The hackers were able to copy the camera's storage and recover an encryption key stored on the device, which unlocked videos of thousands of vehicle detections." The hackers shared the material with 404 Media and the transparency nonprofit Distributed Denial of Secrets, which shared the data with WIRED. 404 Media and WIRED then analyzed those files as part of a joint investigation... [T]he joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist's saddlebag... According to our analysis, the camera's logs recorded about 21 days of activity across several periods. During those windows, the device photographed roughly 50,200 vehicles and generated about 1.6 million images. On a typical day, it logged around 3,300 vehicles, with a high of 4,454... The software running on the camera explicitly detects people, something which is typically overlooked in discussions around Flock cameras. When it spots a person, it records where they appear in the image and how confident it is in the detection. It was a collective calling itself stegan0gram that breached the cameras, according to the interview they did with Wired and 404 Media. "Why just destroy them when we can reverse engineer them and find the secrets of those spying on us?"

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220 Million Traveler Records Exposed In Vietnam-Linked APIS Leak

✇Slashdot
著者: BeauHD
A misconfigured Advance Passenger Information System (APIS) database linked to Vietnam exposed more than 220 million passenger and crew travel records spanning 2017 to 2026, including names, passport numbers, nationalities, flight details, seat assignments, and baggage references. Researchers said the database was reachable through a chain of security mistakes and default credentials. It was later secured after the disclosure, but it's unclear whether the data had already been copied or abused. BleepingComputer reports: Kinryu Labs discovered the Elasticsearch cluster on June 3 while surveying exposed databases as part of research into ransomware activity. The cluster, named 'pax-info', contained 29 indices and roughly 107 GB of data. Its two principal indices held 210,318,069 passenger records and 10,465,631 crew records, for a combined 220,783,700 entries. According to Kinryu Labs, the cluster was hosted in Viettel-assigned IP space in Hanoi. BleepingComputer could not confirm which Vietnamese organization operated the system. The exposed information included passengers' and crew members' names, dates of birth, sex, nationalities, passport or travel-document numbers, document expiration dates, and issuing countries. Associated travel data included flight numbers and dates, airlines, departure, destination and transit airports, seat assignments, baggage references, and scheduled, estimated, and actual flight times, information typically carried by APIS and related airline systems. Sample records reviewed by BleepingComputer included travelers of Korean, Chinese, Canadian, and New Zealand nationality, among others. While the researchers could not provide a complete breakdown by nationality, the data covered numerous international airlines across Asia-Pacific, Europe, and the Middle East. As a result, the exposed records could relate to people from virtually anywhere who visited or transited through Vietnam over the nine-year period. Kinryu Labs expects to publish additional details on its blog later this week.

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Flock Worker Calls Police On Reporter - For Filming Them in Public

"This is what happened when we tried to record Flock installing a new camera on public roads," says Emmy award-winning reporter Brendan Keefe in a new video for InvestigateTV. In an accompanying article, InvestigateTV says their reporter "parked on the public street at a distance, donned a yellow safety vest and a hat emblazoned with the logo of InvestigateTV's Atlanta affiliate where he also works, displayed a press placard on his dashboard and then pulled out a camera to record the installation.... The installer saw him and immediately packed up his equipment and drove away, so Keefe also returned to his car and followed several cars behind, hoping to document the next stop." And then Flock's technician called 911. When asked "What's the address of your emergency" Flock's technician answered "I'm getting followed — harassed, pretty much. Taking videos and pictures!" Flock's worker said they'd been harassed multiple times that day, then stated incorrectly that "I know for a fact" that that was what the reporter wanted to do too. InvestigateTV reports that as a result of the Flock technician's call, "Three police cars ended up in the national investigative reporter's rearview mirror that Wednesday afternoon." Keefe told one of the three police officers who pulled him over, "There is an irony here that they're setting up these cameras that track all of our movements, that follow everywhere we go. But when I try to get video in public of him in public setting up a camera, he's afraid I'm following him?" InvestigateTV also reports that "About 17 minutes after the stop began, the responding officers returned to their vehicles and Keefe was allowed to drive away." But the call that brought three police cars to their reporter "was not the first time this summer someone working for Flock Safety summoned police over a camera. " About 17 minutes after the stop began, the responding officers returned to their vehicles and Keefe was allowed to drive away... [But the stop] was not the first time this summer someone working for Flock Safety summoned police over a camera. On June 5, police in Smyrna, Georgia, responded to a 911 call from a Flock employee after a group of YouTube creators began filming outside the company's distribution center located in the Atlanta suburb... The caller claimed the group filming had "been driving around the perimeter, basically harassing everyone" working at the facility. "Three young white males, probably mid-twenties, I'm not sure if they're armed. And they're carrying filming equipment as well," the caller said. Three times during the call he raised the possibility the people filming might be armed, though, when asked, he told the dispatcher he had not seen any weapons... [One of the protesters later told the caller "I think it's interesting, when you guys have this happen, you call the police and make us get stopped. But then you do it and it's okay?"] No one was charged in the YouTuber group, though the individuals were ordered to leave the premises under an official trespass warning. Keefe's video report ends with one final irony. "Every day on my way to work, I'm captured again by those same new shiny Flock cameras. We tried watching the watchers. Turns outs, it's a lot easier for them to watch us." Flock responded to the report by claiming "We do not object to members of the public or press photographing Flock cameras or personnel in public." But they added that employees working "in the field" must "prioritize their safety" and "may contact law enforcement when they believe they are being threatened, harassed, followed, or otherwise face a safety concern."

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LG Responds to TV Spying Allegations

✇Slashdot
著者: BeauHD
LG is pushing back against reports that its smart TVs are "spying" on users, saying wake-word detection happens locally and that features such as Automatic Content Recognition, voice recognition, and interest-based ads are optional. But critics note that researchers found TVs keeping logs of ambient conversations, and LG's response "did not address broader concerns about how much data it collects, who it shares it with, the potential for bad actors to exploit its features, or the misleading way in which its privacy options are presented," reports The Verge. Here's an excerpt from LG's statement: Some recent media coverage may have contributed to misconceptions about how LG smart TVs work. As an industry leader, LG believes we have a responsibility to provide customers with clear and accurate information about how our smart TVs operate and the privacy controls available to them. We would like to clarify how our smart TVs operate and explain our approach to user privacy. LG smart TVs do not continuously record or transmit users' conversations. Speech-to-text processing begins only if a user activates a voice interaction through a supported wake-word feature or by pressing the voice (or AI) button on the remote control. Audio used for wake-word detection is processed locally on the TV and, if no wake word is detected, audio is not converted to text, stored, or transmitted. Voice-recognition results and related technical logs may be generated as part of processing a voice command. These records are associated with specific voice interactions and do not indicate continuous recording of conversations occurring outside an active voice recognition session. Speech-recognition results may be used to support voice-related features but are not uploaded later when the TV is offline or when connectivity is restored. Features such as Automatic Content Recognition (ACR), voice recognition, and interest-based advertising are optional. These features are not enabled by default. Users can choose to enable these features and can manage or withdraw consent through TV settings. ACR uses audio fingerprinting technology using the TV's internal audio processor (not a speaker) to identify content and does not collect screenshots, screen recordings, video recordings, voice recordings, or other audio recordings from the TV. Where ACR is available and enabled, ACR-related information may be used for audience segmentation and viewing or audience trend analysis. Interest-based advertising and cross-device advertising require separate user consent through the applicable advertising-related agreements. Protecting user privacy is a fundamental principle in the design and operation of LG products and services. The statement goes on to "provide additional details on how LG smart TV features work, how information may be processed, what choices users have, and how LG continues to strengthen privacy, transparency, and security."

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Latest Apple Watch Can Grab Snippets of Conversation Without Both Speakers' Consent

✇Slashdot
著者: BeauHD
Apple's new Audio Intelligence features for the Apple Watch Series 12 are drawing privacy concerns because they can process nearby conversations without explicit consent from everyone involved. "Live Rewind lets you instantly see the last 15 seconds of a conversation as text," Apple explains in its technical summary (PDF). "Siri Recap summarizes conversations throughout your day and produces high-level Apple Intelligence-generated notes so you can stay present in the moment and catch up later." The Register reports: The latest Apple Watch comes with Audio Intelligence, a set of AI audio processing capabilities tuned for the company's S11 chip. Its features include: Sound Recognition, Music Recognition with Shazam, Live Rewind, and Siri Recap. [...] With the double-press of the Digital Crown -- as Apple grandly refers to the button on its Watch -- Live Rewind takes in an audio stream from the Watch microphone, processes it in a Secure Exclave on the S11 chip, and routes the data to the user's nearby iPhone, which runs a speech-to-text algorithm on the 15-second audio segment. The resulting text is saved and the audio is discarded. The wearer's Watch emits an audible tone, even in silent mode, to alert those in the vicinity and provides a visual cue for those able to see the face of the device. Nonetheless, bystanders alerted to the recording -- to the extent they recognize the meaning of the tone -- have not consented to being recorded, which is a legal requirement in 11 US states that have all-party consent laws. Apple characterizes its implementation of brief eavesdropping as respectful of personal privacy. It makes that claim in a section titled, "How Live Rewind respects those around you," citing the audible chime and visual on-screen animation. Siri Recap, meanwhile, "summarizes conversations throughout your day and produces high-level Apple Intelligence-generated notes so you can stay present in the moment and catch up later." This too, Apple describes as an act of respect. "By design, Siri Recap does not create a recording, does not produce a verbatim transcript, and does not identify and attribute speakers," Apple's technical documentation explains. "The output is a brief, high-level summary, comparable to notes a person might write after a conversation. There is no audible signal because no raw audio is retained, and there is no way to reconstruct the original audio from a Siri Recap or share raw audio with anyone."

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Android Rolling Out Passkey Transfers Between Password Managers

✇Slashdot
著者: BeauHD
Android is rolling out a system-level way to securely transfer passwords and passkeys between credential managers, eliminating the need to export passwords as unencrypted text files or manually recreate passkeys. The feature initially supports Google Password Manager, 1Password, Bitwarden, and Dashlane, with other providers able to integrate through Android's Credentials Transfer API. 9to5Google reports on how to initiate the system-backed transfer method: 1. Start the move: Open your new password manager app and choose the option to import or copy your passwords and passkeys from another provider. The password manager will then hand the task over to Android. 2. Let Android securely coordinate the data transfer: Android will automatically detect existing password managers on your device and show you which you can import from. 3. Review and authorize: Once you tap "Continue," Android will bring you to your existing password manager to select, review, and authorize the transfer. Then your data will be quickly and securely transferred between the apps in just a few seconds.

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LG TVs Caught Spying Even When Offline or On Standby

✇Slashdot
著者: BeauHD
A Gamers Nexus investigation found that LG smart TVs are almost constantly logging and uploading data about owners and their homes, even while they are offline or in standby mode. "The company's TV sets scan Wi-Fi networks for nearby devices, record audio logs through their microphones, and use audio and video sampling to recognize exactly what you're watching from across the TV inputs," reports The Verge. From the report: Gamers Nexus partnered with fellow YouTubers Level1Techs and independent security researchers for the investigation, which involved testing retail LG OLEDs. Packet captures showed the TVs scanning the local area network for nearby hardware like phones or smartwatches, as well as logging location data and details of nearby Wi-Fi networks, and feeding the information back to LG Ad Solutions. Perhaps more concerningly, the TVs were capable of recording microphone audio when in standby; this continued even after the TV was disconnected from the internet, with audio files stored offline and uploaded once a connection was restored. Earlier this year, LG was found to be silently installing an adware-like app on Windows PCs that ran pop-up ads for other LG apps and even McAfee antivirus.

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Hundreds More Flock Cameras Removed in the US This Week. Flock Caught Repackaging Traffic Data

Florida's Republican Governor Ron DeSantis said this week he's removing Flock cameras from state roadways. And according to a local news report, that led sheriff's departments in at least three other Florida counties to also "announce they're ending their own license plate reader programs." The same week in Texas, the Dallas Police Department announced it's also shutting down over 300 more Flock cameras, acccording to The Hill, after Republican Governor Greg Abbott ordered state agencies to halt funding. And in Wisconsin "at least a dozen" law enforcement agencies announced they'd suspend use of Flock's cameras, reports the Milwaukee Journal-Sentinel, joining Wisconsin cities like Appleton, Oshkosh and Kenosha that also cancelled their Flock contracts. But this week's cancellations had a new reason: Officials said it was revealed [Flock] had been collecting five years of traffic data, which had been stripped of identifying information, from cities' Flock cameras, and repackaging that as a traffic analytics product to sell to cities. All said they supported the effectiveness of the technology in investigations, but cited losing faith in the company's trustworthiness. "This is not what we agreed to, and it is not what the public was led to believe," said Racine County Sheriff Christopher Schmaling in a news release announcing the removal of Flock cameras operated by the agency. "The Sheriff's Office will not participate in a system that appears to use public safety as a justification for mass surveillance and the collection and monetization of information about innocent people...." [Racine County] officials were told the company believed if it stripped the data of any identifiable nature, it was then considered to be the company's property and no longer the city's. [Lt. Michael Luell, the sheriff's public information officer] said the sheriff's office has outside attorneys, along with the county's attorneys, investigating the company's move. "Our contract, from my reading of it is, it stated they agreed not to distribute or sell our data," Luell told the Journal Sentinel. "But they had this legal theory." Thanks to long-time Slashdot readers MAurelius and schwit1 for sharing the news.

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FBI Probes Service Selling 153M+ Drivers Licenses

✇Slashdot
著者: BeauHD
A dark-web identity theft service called Nexus claims to be selling scans of more than 153 million U.S. and Canadian driver's licenses, along with millions of other identity documents. "Based on interviews with individuals whose licenses are available for purchase through the service, it appears to be siphoning images collected by a widely used Louisiana-based identity verification company," reports KrebsOnSecurity. The outlet also reports that the FBI's New Orleans field office has launched an official inquiry into the source of the images. From the report: On Monday, Aug. 31, a source alerted KrebsOnSecurity to a service advertised by a new user on the Russian cybercrime forum Exploit, offering access to digital scans of identity documents on more than 170 million people in North America. The source brought it to my attention because the proprietor of this identity theft service offered my Virginia drivers license as a free sample in their initial sales thread on Exploit. The service, dubbed Nexus, claims to have more than 153 million drivers licenses for people in the United States and Canada, as well as more than 10 million identification cards; more than three million travel documents and/or international IDs; and at least 579,000 medical cards. [...] The people behind Nexus claim the license images are coming from an active breach at "a major identity verification company" whose customers include multiple Fortune 500 companies. "We have been continuously exfiltrating new data for over a year into our private database," the service enthused in its introductory post on Exploit. "Records are available to preview before purchase with pertinent information redacted. Customer photos are displayed if available." Indeed, over the past 24 hours, the number of drivers license records listed as available in Nexus has increased by nearly 400,000, suggesting that freshly stolen license data is being harvested and uploaded to this service on a semi-regular basis. KrebsOnSecurity traced the apparent source by comparing timestamps on stolen license images with when their owners had their IDs scanned, including at Hertz rental counters and a Planet13 dispensary. Both companies use identity-verification services from Louisiana-based idscan.net, whose technology also scans IDs using infrared and ultraviolet light. Since the story was published, Krebs reports that the Nexus identity theft service website "vanished from the darkweb, replacing its login page with a plain text message that reads, 'This service is no longer available.'"

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AliExpress Leverages User Audio Systems For Fingerprinting

✇Slashdot
著者: BeauHD

🤖 AI Summary

AliExpressはユーザーの音響システムを利用し、指紋認証を行う手法を採用していることが明らかになりました。開発者の「laserphile」によると、アリエクスプレスのサイトがWebAudio APIを使用して、不可聴の音声信号を放送し、それぞれのデバイスが信号を処理する微妙な違いを測定することで、ユーザーを特定する独自の指紋を作成しているとのこと。Bluetoothヘッドフォンが一時的に停止することや、画面サイズやネットワークデータなど、幅広い情報も収集されていると報告されています。

この手法は不可視かつ非同意で行われており、プライバシーに重大な影響を及ぼします。開発者は問題を解決するためにはプライバシーオリエンテッドのブラウザを使用することを推奨しています。FirefoxやBraveといったブラウザでは、この種の追跡を制限またはブロックすることが可能です。

要するに、AliExpressはユーザーのデバイス情報を無断で収集し、指紋化することでトラッキングを行っているという点が本記事の主な内容です。
A developer says AliExpress is using the browser's WebAudio API to help fingerprint users by playing inaudible audio and measuring tiny differences in how their devices process it. CyberNews reports: The developer, "laserphile," wrote on their blog that they recently ran into some weird issues with their Bluetooth headphones. They couldn't play music via their phone when, at the same time, the AliExpress website was open on their PC. The headphones, laserphile explained, support multipoint Bluetooth audio so they can be connected to the PC and phone at the same time, for instance, playing music on the phone and announcing notifications through the PC. "Shortly after loading the AliExpress homepage, audio from my phone would stop playing. Closing the AliExpress tab fixes it immediately," the developer said in the blog post. "Muting the tab/Firefox/Windows does not help, and there is no visible video, music, or other media playing on the page. This seemed suspicious enough to investigate." It turns out that Alibaba has been secretly leveraging AliExpress users' audio systems to track them and build detailed fingerprints of them. [...] The AliExpress site was using the browser's WebAudio API to run invisible sound waves at zero volume. By measuring tiny hardware differences in how each PC processed those signals, the site created a unique digital fingerprint to track devices -- without user knowledge or consent. The secret audio path froze the developer's Bluetooth connection while covertly scraping hardware memory, screen dimensions, and network data in the background. The data collection extends beyond audio. Further inspection revealed that the same scripts also measure canvas, WebGL, hardware specs, WebRTC, mouse/touch events, and automation indicators. All of these form a broad device fingerprint that is sent back to Alibaba's telemetry servers. The simplest fix is to use a privacy-focused browser such as Firefox or Brave, which can limit or block this kind of fingerprinting. Brave goes further by randomizing fingerprint data and blocking the AliExpress tracking scripts involved.

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Flock is Secretly Building a Powerful New Prompt-Based AI Tool for Police

🤖 AI Summary

【要約】

ウェブサイトSlashdotのfjo3から共有されたWiredの記事によると、AI会社Flockが秘密裏に警察向けの新しいプロンプトベースの強力なAIツールを開発していることが明らかになりました。Flockは以前、「個人を識別することができない」と公表していましたが、現在は車両のパターンから運転者や車両を特定し追跡できるシステムを開発しています。

このAIツールは警察の案件ファイル、911通報ログ、商業アイデンティティ記録などにもアクセス可能です。これにより Plates(車牌)が人物名、住所、家族などの個人情報へとつながります。警官は場所、時間、行動パターンを提示することで、該当する人々のリストを得ることができます。

Flockは現在、少人数の警察パートナーと共にテストを行い、販売される製品の機能とは異なる可能性があります。このAIツールは政治的压力や不適切な使用例、各地での破壊行為に対する警官からの批判などに直面しています。

この記事では、「FlockはALPR(Automatic License Plate Recognition)以上のことを目指し、警察用デジタルプラットフォームとなりうる」という法律学者の見解も引用されています。
Slashdot reader fjo3 shared this article from Wired: [Flock] has told the public for years that its technology "cannot recognize, identify, or track individuals." It has now built a system that does both, an artificial intelligence tool for police that can identify drivers and track vehicles by their patterns of movement alone, WIRED has learned... Because the system also reaches police case files, 911 dispatch logs, and commercial identity records, those plates can be turned into names, home addresses, and relatives. It can search for people in an area drawn on a map based on nothing more than a physical description... The code describes 45 tools at the AI's disposal, giving it access to plate scans and camera metadata, arrest records, case files, dispatch logs, ballistics results, and commercial databases that contain Social Security numbers, dates of birth, phone numbers, email addresses, relatives and associates. Flock says it is testing the product with a small group of law enforcement partners and describes it as still in development, with capabilities that may not reflect what it eventually sells. It arrives as the company faces bipartisan political pressure, a growing record of officers caught misusing its platform, and a wave of vandalism that has left cameras sawed off and lenses painted over in cities across the country... An officer no longer needs a plate, a name, or a crime to begin: They supply a place, a stretch of time, and a pattern of behavior, and the system is designed to hand back the people who fit... One prompt Flock preloaded into the system reads: "Find me witnesses based on vehicles most seen in [neighborhood] during [last 14 days] during [daily timeframe] *(will not include whitelisted vehicles)." An officer would fill in the blanks and submit it. The output is a list of plates, which other tools in the product then convert into names and home addresses. Another prompt instructs the system to list everyone arrested more than twice in two years for "any offense," exempting only narcotics arrests, and then says to map where those people live, retrieve the calls for service at their homes, and "do a workup on the top three individuals." The prompt begins with everyone in the area who has an arrest record and ends with dossiers on three of them, chosen by the software. A "workup," in Flock's terminology, is a one-command background check. It starts with a name and a date of birth and returns what the department's records and commercial data hold: vehicles, prior listings as a suspect, and, on a second screen, relatives, phone numbers, and online accounts. Wired shares this reaction from a law professor at George Washington University. "It is clear Flock has aspirations far beyond ALPRs to become a digital platform for policing,"

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American Who Wiped His Phone With 'Duress' Password During Border Search Gets Felony Charges

✇Slashdot
著者: BeauHD

🤖 AI Summary

アメリカのサムエル・チュニック氏が、国境検査中にデュレッスパスワードを与え、それが入力された途端にグラファノックス搭載のピクセルを消去したため詐欺罪で告訴されました。米国検察官テオドール・ハルツベルガーは、「联邦调查局阻挠是严重事项,具有严重后果」。米国際旅客の0.01%未満しか検査対象としないアメリカ海関によると、所有国籍に関係なく、テロ、児童虐待、薬物密売人、ビザ詐欺などを目的とした電子機器検査があるとのこと。チュニック氏は、「政府が私たちのコミュニケーションや関係を所有しようとする試みに反対する必要があります。私たちはプライバシー権を防衛しなければなりません」と述べています。
Federal prosecutors have charged activist Samuel Tunick with obstruction after he gave Customs and Border Protection officers a duress passcode that wiped his GrapheneOS-powered Pixel during a border search. "His prosecution is one of the earliest known instances of the federal authorities charging a person with destroying evidence using a program designed to wipe a device clean after a specific code is entered," reports The New York Times. From the report: "Obstructing federal law enforcement is a serious matter that has serious repercussions," Theodore Hertzberg, the U.S. attorney for the Northern District of Georgia, said in a statement. "Individuals who destroy or attempt to destroy property, including data, to prevent lawful search and seizure should expect to face prosecution and punishment for their actions." A spokeswoman for U.S. Customs and Border Protection said in a statement that the agency had the authority to search the electronic devices of anyone entering or leaving the United States, regardless of citizenship, to enforce laws addressing terrorism, child exploitation, drug- and human-smuggling, visa fraud and national security threats. "The border search will only include an examination of information that is present on the device at the time it is presented for inspection," the spokeswoman said, adding that it searched the electronic devices of fewer than 0.01 percent of all arriving international travelers in the last fiscal year. "Just the knowledge that the government is peering into your private life in this way, trying to dig up dirt on you, even though it's unsuccessful, is creepy," Tunick said, in response to a question about how the charges have affected him. His message: "The government doesn't own our communications, our relationships, as hard as they might try to. We have to defend our fundamental right to privacy; otherwise we can't say that we really live in a democracy."

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Man Dressed As Darth Vader Defends Flock Cameras to San Diego City Council

✇Slashdot
著者: BeauHD

🤖 AI Summary

サザンダーゴの公共安全と住みやすい地域委員会議で、ダース・ベーダーの衣装を着た男がFlock監視カメラの使用に反対し、皮肉を交えて「皇帝」としてその技術は「反乱軍」を探し出すため必要だと言った。彼はこれらのカメラが子供たちを含む複数の場所で動いていることを指摘し、「このテクノロジーは駐車場からプール、そしてジムまで反乱軍を見つけるのに役立つ」と述べた。

さらに、彼は税金引き上げによる排水口の清掃とホームレスのキャンプ撤去も提案し、議会員が「二重言葉」を使って警察が人道的だと主張していることに言及した。最後に、「ルーカスをX-wingで宇宙を旅する間に見つけるのにこの技術が必要だ」と述べた。

これらのカメラはサザンダーゴの街中で550台以上設置されているとDeFlockによると報告された。
A man dressed as Darth Vader used a Public Safety and Livable Neighborhoods Committee meeting in San Diego to mock the city's use of Flock surveillance cameras, sarcastically arguing that the technology would help the "emperor" track "rebel scum" and find Luke Skywalker. "This is what the emperor needs. This technology will help us find the rebel scum and the hidden base on Hoth," he said. The Hill reports: He urged that the cameras be used to surveil any "rebel scum as they move from playground to playground, from playground to pool, from pool to gymnasium, because we all know that the Flock cameras are not only following the license plate readers, they are following children." The plea for the cameras shifted to raising taxes to clear out storm drains and to the clearing of homeless encampments in the city. The man said the council members can use "doublespeak" to say the police department is humanitarian. "And how will the people trust this City Council when this City Council continues to vote for surveillance technology that imprisons them? Ms. Campbell, you must work on your Jedi mind tricks," he said, addressing City Council member Jennifer Campbell, before waving his hand to the audience. "Do it like this." His last plea was for the Flock cameras to be used to "help us find Luke Skywalker as he traverses the universe in his X-wing." "This technology is a necessary, necessary force," he concluded. According to DeFlock, San Diego has more than 550 Flock cameras across the city.

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Reverse-Lookup Service Exposed Millions of Photos of People's Faces

✇Slashdot
著者: BeauHD

🤖 AI Summary

クラリティチェックという人物検索サービスのセキュリティ研究者ジェレミア・フォウラーは、同社がアマゾンS3バケットに約900万枚の画像ファイルを公開しており、逆画像検索機能が「プライベートで安全」と宣伝されていましたことを発見しました。フォウラーによると、漏洩したクラリティチェックデータベースには450GBもの画像(主に成人や青少年、子供のプロフィール写真など)が含まれており、これらの画像は公開されているAmazon S3バケット内に未承認で保管されていました。

さらに、クラリティチェックのAPI設定ミスにより、任意の名前を入力することでメールアドレス、住所、電話番号などの情報を取得することができました。クラリティチェックはWIREDが7月に同社を連絡した後、この情報は閉じましたが、フォウラーは問題点を指摘したにもかかわらず、同社との交渉に成功していませんでした。

同社は公開された情報を基にしており、「一般的なパブリックメンバーはそれを見つけ出すことができない」と主張しています。しかし、研究者は「特に不変のバイオメトリックデータ(顔画像など)にとって大きなリスク」だと警告しています。
Security researcher Jeremiah Fowler found that people-search service ClarityCheck left more than 9 million image files accessible in an unsecured Amazon S3 bucket, despite advertising its reverse-image search as "private and secure." A separate misconfiguration also exposed email addresses, phone numbers, and other personal information. Wired reports: Overall, according to findings from independent security researcher Jeremiah Fowler, the exposed ClarityCheck database contained roughly 450 GB of images, including what appeared to be profile images, screenshots, and other photographs of adults, teenagers, and children. All of the images were stored in an unsecured Amazon S3 bucket, with files in folders named "faces" and "profiles," which could be accessed by anyone online through a URL included in the company's publicly available website code. ClarityCheck is one of a number of so-called people-finder tools that have appeared online in recent years. These websites broadly claim to be able to search the web, public records, and other databases to identify individuals. ClarityCheck's website says it can run searches on phone numbers, email addresses, vehicle identification numbers, and names. Its photo-search page says it can help "identify anyone in a photo" and find social media profiles "in seconds." While ClarityCheck secured the giant image database after WIRED contacted the company in July, Fowler warns that it was seemingly exposed for months, and his initial efforts to flag the problem to the company were unsuccessful. Accidental data exposures create risk for any personal information, but particularly for sensitive and unchangeable biometric data like face images. [...] In addition to the face data, ClarityCheck had also misconfigured its APIs such that its website URLs could be manipulated to reveal data about people simply by entering names; anyone using any consumer browser could have done this. Entering a name into one of the URLs would return multiple potential email addresses, physical addresses, and phone numbers for people with that name. After WIRED contacted the company, the URLs were secured. The ClarityCheck spokesperson said in the statement that the details displayed were "sourced from publicly available information and licensed third-party data providers." A spokesperson for ClarityCheck said in a statement: "Once this was drawn to the attention of the appropriate teams, we acted immediately to restrict access." The company disputed any characterization that the data was "exposed," saying that an "ordinary member of the public" would not have come across it. "We do not accept that data in the temporary storage location was 'publicly exposed,' which implies large-scale public access," the spokesperson says. "Access required knowledge of a specific, unindexed URL that was not discoverable through ordinary use of the ClarityCheck service or a general web search."

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Sainsbury's Store Pauses Facial Recognition After False Shoplifting Claim

✇Slashdot
著者: BeauHD

🤖 AI Summary

サインスバリーは、ある顧客が誤って窃盗容疑者として特定され強制退去された事例を受け、AIによる顔認識技術の使用を一時停止した。

エドゥリッチに所在する店舗でコメディパーソンのマット・アールトン(46)は、Nectarカードと商品をスキャン後、従業員2名から窃盗疑いを告げられ、退去させられた。その際、天井のCCTVモニターには自身の顔が赤い枠で囲まれた警告が表示された。

アールトンは友人が即座に支払いを行うために待機していることを説明し、買い物を手放さずにいたが、スタッフは慎重な対応を見せず、「店員は瞬時に反応してはいなかったし、窃盗容疑者がこの行動をとるとは考えていなかったようだった」と述べている。

サインスバリー本社はアールトンに謝罪し、AI補助の「Facewatch」技術の使用を一時停止し、調査を行っている。一方でアールトンは、「誰もが誤認される可能性があり、そのうち誰か脆弱な人々や精神的な問題がある人間が影響を受けてしまうのは避けられない」と述べている。

サインスバリー側は「この事案は人間のミスによるものでなく、顔認識技術自体に問題はない」とし、「システムが誤ってアラートを出した後でもその後の対応に人が誤りを犯しただけだ」としている。
Bruce66423 shares a report from The Guardian: Sainsbury's has paused the use of AI face scanning in one of its stores after a customer was wrongly identified as a shoplifter and ejected from the shop. "I was embarrassed, mortified even, and felt quite humiliated and powerless," Matt Arnold, 46, said of his ordeal. The comedy promoter was buying supplies in the store in East Dulwich, in south-east London, for a standup event at Dulwich Hamlet football club when, after scanning his items and a Nectar card, he was approached by two managers who told him he could not be served owing to an earlier incident. He was then asked to leave and they tried to escort him from the store. As he left, he saw an overhead CCTV monitor alert with a red circle surrounding his face. He asked the shop staff to keep his shopping in the trolley so his friend could come and pick up the supplies for the comedy night happening soon next door. "I think they were quite confused by this, understandably, but agreed and my colleague Dave went in to pay for and pick up the shop about five minutes later. There was no pause for thought from the staff, no suggestion that they understood this is not how a shoplifter would behave. Just blindly following the machine's orders." Sainsbury's head office apologised to Arnold the next day and has paused use of its AI-assisted Facewatch technology in the store while an investigation takes place. Arnold says the facial recognition tech should be paused in all stores. "Anyone could be falsely accused and at some point that will be someone vulnerable, someone with mental health issues like anxiety. It's inevitable," said Arnold. "Also, I would worry about the confidence-destroying effect of it happening to a younger person or someone less willing or able to stand up for themselves as I have done." A Sainsbury's spokesperson said: "We have contacted Mr Arnold to apologise for his experience at our Dulwich superstore. The incident was caused by human error, not the facial recognition technology. Customers can be reassured that the Facewatch system has a 99.98% accuracy rate, and every match is reviewed by a trained manager." A Facewatch spokesperson said their technology was not at fault in this case. "A correct alert was sent to the retailer, but was subsequently subject to human error in the way it was handled in store," they said.

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OpenAI Ditches Recall-Style Screenshot Surveillance For Friendly Keylogging

✇Slashdot
著者: BeauHD

🤖 AI Summary

OpenAIは、以前のスクリーンショット監視方式から、「Computer History」という友好的なキーロギングシステムに切り替えた。この機能はユーザーがアプリやウェブサイトでの操作を記録し、時系列で整理できるようにするものだ。これはChatGPT応答の改善や自動化の機会の発見、作業の継続性の向上を目的としている。

OpenAIのドキュメンテーションによると、「Computer History」は許可されたアプリとウェブサイトからの入力イベントから相互作用のストリームを作成する。これらのイベントにはクリック、タイピング、キーボードショートカット、アプリの切り替え、macOSのアクセシビリティシステムを通じて公開されるコンテキストが含まれる。48時間(またはそれ以上)にわたり、このデータはローカルで未暗号化で保管され、その後OpenAIのサーバーに転送される。

ただし、OpenAIは警告を掲載しており、「Computer Historyファイルには機密情報が含まれている可能性があります。これらは「Computer History」によって暗号化されておらず、他のユーザーが実行しているプログラムによってアクセスされる可能性がある」と述べている。

この機能を使用する際は、個人的な会話中には使用を停止し、本人の明示的同意を得る必要があるとOpenAIは注意を促す。また、医療情報や財務情報を含むアプリについては一時的に停止または除外することも検討されるべきだ。

ChatGPTとCodexはローカルに保存された「Computer History」の相互作用イベントを48時間後まで保持し削除するが、OpenAI側では生成された記憶データは長期保存され、将来的なチャットで再利用される可能性がある。
An anonymous reader quotes a report from The Register: If you want to record whatever you do on a computer, send those records to OpenAI, use more ChatGPT tokens, and increase your vulnerability to prompt injection, then OpenAI has something for you. It's called Computer History, an opt-in way to record your computer interactions across apps and websites as memories organized on a timeline. Why would you want to do so? Maybe you found Chronicle, the predecessor of Computer History which compiled similar histories using screenshots, a bit too intrusive but don't mind Computer History's approach -- recording input events and storing them unencrypted locally for 48 hours (or more), with a brief visit to OpenAI's servers. Maybe you're not bothered by the warning OpenAI includes in its documentation: "Computer History files can contain sensitive information. They are not encrypted by Computer History, and other programs running as your macOS user may be able to access them." Perhaps, having given OpenAI's Codex and GPT Work the run of your computer, you're already sold on the suggestion that storing your computer activity in memory files and arranging those interactions in a timeline will improve ChatGPT responses, surface opportunities for automation, and make it easier to resume prior work. Computer History is, to put it bluntly, a keylogging and event capture system. "Computer History creates an interaction-event stream from allowed apps and websites," OpenAI's documentation explains. "Events can include clicks, typing, keyboard shortcuts, app switches, and context that macOS exposes through its accessibility system. Computer History periodically turns these events into text summaries and local memory files." OpenAI says the feature doesn't capture screen images, microphone input, or system audio. It also doesn't record private-mode browsing. "Turn it off during communications with other people unless you have their prior express consent," the company advises, perhaps in acknowledgement of legal risk. "Consider pausing it or excluding apps that contain sensitive health, financial, or personal information." ChatGPT and Codex delete locally stored Computer History interaction events after 48 hours, but data sent to OpenAI to generate memories may be retained locally longer and reused in future chats.

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Bipartisan 'Uprising' Against Flock Cameras: a Larger Fight Against Big Tech and Surveillance?

🤖 AI Summary

文章はFlockカメラの撤廃がアメリカ合衆国の多くの地域で進展し、これは政治家とテクノロジー寡占企業に対するより大きな反抗の前兆だと述べています。

主要なポイントは以下の通りです:

1. 超党派的な反対:20以上の地方自治体が7月にFlockカメラを使用停止またはその手続きを開始しました。これはデフロックという活動家のグループによって追跡されており、2021年以来最多の撤廃数です。

2. 公共安全に対する不信:一部の地方行政官は、「公共安全への貢献は期待ほどではなかった。実用性から見ても有用だったとは言えない」と述べています。

3. 高度な人工知能とデータセンター建設に続く技術革命の反対運動:Flockカメラは、テクノロジー企業による監視国家化への懸念を象徴すると指摘されています。また、これにより市民が反抗の手段を見出すことができる可能性も示唆されています。

4. 東電フロンティア基金会の10か月間の調査:地元警察がFlockカメラを使用して反対集会参加者を追跡し、その情報を全国的に共有していることが明らかになりました。

5. 公衆に対する反抗:デストローズは「Flockカメラ反乱」は公衆理解の一環であり、テクノロジー企業の支配を阻止するための動きだと説明しています。また、「猫とマウスゲーム」が市民の関心を集めるようになっています。

これらの点から、この運動は単なるFlockカメラへの不満ではなく、より広範なテクノロジー企業に対する批判に代表される公共の反抗を示唆しています。
Politico notes that over 20 local jurisdictions in America "either stopped using Flock cameras or began the process of doing so in July, according to a tracker maintained by DeFlock, an activist group that has been mapping the company. It's the highest amount in a single month since they began tracking in 2021." Some local officials said the public safety promises weren't worth the cost. The cameras "didn't help us with anything. From a utility aspect, they were just kind of not useful," said Eric Couture, a Democratic first selectman in Killingworth, Connecticut, another city that recently canceled its contract with Flock. "I'd say it was a net negative." And their article adds that it's a bipartisan pushback that "runs parallel to sprawling fights over the future of technology in American life, including the rise of increasingly advanced artificial intelligence tools and the construction of massive data centers needed to power them." Salon even argues Flock's cameras "have become a symbol of growing anger over the efforts by technology oligarchs to impose their dystopian fantasies on the country, replacing liberal democracy with a surveillance state... People are sick of tech billionaires trying to control our lives"" By targeting Flock cameras, activists are building momentum for a larger rebellion against the tech industry — and against political leaders who are complicit in their assault on our freedoms. Flock Safety embodies the dishonesty that has been the prevailing theme of tech corporate communications and marketing for at least the past decade. While the cameras are sold to the public as a banal traffic safety measure, they have prompted an outpouring of stories about how they're being used to violate civil liberties and undermine democracy... According to an exhaustive 10-month analysis by Electronic Foundation Frontier, a nonprofit dedicated to defending civil liberties in our digital age, local police were using the cameras to track protesters, such as those at No Kings rallies, who were then put in a national database to be used across all jurisdictions. Despite claims that the cameras only record license plates, the technology-focused outlet 404 Media found that the database is also being used to collect information on individual people whom cops can then search for using descriptions of clothing, race, gender and body type. The Flock uprising, though, is the stirrings of public understanding that none of this inevitable — and we have the right to fight back... Along with protests against data centers, it's a sign that the public is desperate for a way to fight back against not just AI, but also the anti-democratic forces fueling this latest tech wave. Salon's writer also adds that "what stands out about the burgeoning public rebellion against Flock security cameras is just how fun it all is," citing "a national cat-and-mouse game between vandals and cops that is being merrily followed on social media, mostly by people rooting for the vandals." City council meetings in which citizens swarm to protest paying for the cameras are the new must-see TV. In Huntington, West Virginia, a small city in the heart of Appalachia, one man became an internet folk hero when he stood up at a city council meeting and said, "I'm not gonna waste your time; I'm kinda hungry. But one last thing: Every single Flock camera has about 2-3 pounds of copper and about 1-2 grams of gold. Do with that information what you will." He then walked off in triumph.

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How Accurate Are Flock's AI-Powered License-Reading Cameras?

🤖 AI Summary

### FlockのAI活用型車両認証カメラの精度について

Futurismは、404 MediaがLos Angeles Police Department(LAPD)の警備員監視官事務局によって実施された7月10日の検査で発見された結果を報じている。ALPR(Automatic License Plate Recognition)カメラは2ヶ月間で161件の「盗難車両」誤通知を出し、その大半が無辜な運転者に注意を引き起こしている。LAPDの誤通知率は32.3%であり、警備員は3回の検索のうち1回目が無罪の運転者に対するチェックになる。

FlockのCEO Garrett Langleyは、NCIC(FBIのNational Crime Information Center)の古びた構造を批判している。Langleyによると、NCICにはフィードバックループメカニズムがないため、静的なカンマ区切りファイルの形式しかないという。Flockでは「抑制」機能を使用し、例えばアトランタのような地域は特定の州の盗難車両の警報を一年間無効化できるが、他機関を強制する手段はない。

Roseville(カリフォルニア)での最悪事例では、Flockのカメラが同一台の車に6回誤通知し、盗まれた車両や犯罪現場とされた。Flockのソフトウェアは運転者のナンバープレート上の「9」を間違って「8」と認識した。警察当局はドライバーがナンバープレートカバーを外すことを提案した。

Flockのカメラは最適な状況でも車両番号の96%以上を正しく読み取れるという主張があるが、ローズビル警察署の記録によると、71%以上の通知が誤認識であり、映像は曇っていて、ナンバープレートや州名が誤って認識されている。警備局は、カメラ設置の特殊性と古いハードウェアを使用したことにより誤認識が増えた。

トーラード(オハイオ)での例では、ドライバーのブランダン・アップチャーチが車両番号「7」を「2」と誤認識され、警備犬に噛まれて重傷を負い、職を失った。彼は警備局と警察官を相手に35,000ドルの訴訟で和解した。

IPVM(独立研究機関)がFlockのナンバープレート読み取りシステムのテスト結果によると、10回の読み取りのうち約1回が州名誤認識し、車両タイプやメーカーも間違えることが多かった。これらの不正はFlockがIPVMの購入を停止したことに繋がった。

この記事はFlockのAI活用型カメラの精度についての懸念と課題を浮き彫りにし、警備員と運転者双方への影響を示している。
Futurism reports: 404 Media revealed that a July 10 audit by the Los Angeles Police Department Office of the Inspector General caught the department's ALPR cameras generating 161 false stolen-vehicle alerts in just two months — each one ending with officers pulling over an innocent driver. Factoring in 337 alerts which "resulted in the recovery of stolen vehicles," the LAPD's cameras carry an error rate of 32.3 percent, effectively giving officers a one-in-three chance at pulling an innocent person over. "The biggest issue remains this national database at the FBI called NCIC," Flock's CEO Garrett Langley recently told The Drive, complaining about "how archaic its structure is." Flock CEO: There's no feedback loop mechanisms; it's really just a static comma-separated file. We've tried to build around it. We have this concept called "suppression." A local agency — let's take Atlanta, where I live — might see that there's a stolen plate out of California, but it's already been resolved because it's a rental car or a dealer car. They can, in Flock, suppress that: "Never alert us on that for the next year." That's to get around the fact that they can't force another agency to remove it from NCIC. Ideally, the way it would work is if enough agencies — let's call it one, two, or three — flag a tag as no longer valid or a bad entry, it should just get removed. Or at least it should get pushed more aggressively by the FBI... I'm hopeful that they'll see there's an opportunity to make something like NCIC, which is an important tool not just for companies like Flock, but for police departments to work together, start to make some enhancements to modernize what's a central part of our policing system. Later in the interview he says "It's less than one in a million alerts that an officer says, 'I'm not sure if that's right.' Less than one in a million." A recent report from Business Insider shares a worst-case scenario. In the summer of 2024 a Sacramento police officer said Flock's cameras had sent six false alerts for the same vehicle, wrongly saying it had been stolen or used in a felony crime in the nearby suburb of Roseville: Roseville police could see that Flock's software kept confusing the "9" on the man's license plate for an "8." The car owner said he would take off his license plate cover. Soon after, it happened again. It's "easier at this point we have it memorized," a dispatch supervisor in Roseville wrote in an email to a colleague. Flock says that in optimal conditions, its cameras accurately read more than 96% of license plate characters. Hundreds of pages of records from the Roseville Police Department show a different picture. In 2023 and 2024, Flock sent 1,427 alerts to Roseville police, flagging vehicles as stolen or used in a felony after they passed one of the city's Flock cameras. An analysis by the police department found that in 71% of those alerts, Flock's machine-learning software incorrectly read the license plates... The cameras regularly missed vehicles, captured blurry images, misread license plate characters and states, and sent delayed alerts to police about vehicles possibly connected to crimes, the records show... A factor that contributed to the misread problems in Roseville was the "particularly unique deployment" that the city requested, a Flock spokeswoman said. Roseville said it has its cameras configured so that they capture only the backs of vehicles, a setup intended to avoid capturing personally identifiable information like faces. Roseville's setup included older hardware and placement of cameras higher and further from vehicles than the company typically recommends, Flock added... In Toledo, Ohio, driver Brandon Upchurch was mauled by a police dog after a Flock camera misread the "7" on his license plate as a "2." As a result of his injuries, he said, he lost his job and was evicted from his home. He settled a lawsuit against the city and police officer for $35,000. None of the incorrect Flock alerts in Roseville resulted in a traffic stop or arrest, a department spokesman said. Roseville requires police officers to verify that a license plate is stolen or have independent reasonable suspicion of a crime before making a traffic stop... Flock said Roseville's camera performance has significantly improved, which the police department disputed... Flock's cameras also missed vehicles altogether... At one point, Flock's product director for machine learning suggested that officers ask drivers to remove license plate frames that made it "very difficult for the machine vision to tell it is actually a 'E' and not an 'F.'" Roseville told Flock at the time that it wouldn't do so, according to the department spokesman. Flock in 2024 shared an analysis with Roseville's police department, outlining reasons for the misreads. Vehicles far from a camera were sometimes blurry. Plates were cut off by trees or license plate frames. And Flock's software confused similar characters, mistaking an "N" for a "V", or a "1" for a "4...." Roseville isn't the first organization to flag inaccuracies in Flock's technology. In 2021, the research firm IPVM independently tested Flock's license plate readers, concluding that Flock misidentified the state in about one of 10 reads, and that the system regularly misclassified vehicles' type and make. IPVM said that Flock subsequently blocked it from purchasing its cameras for testing. Thanks to long-time Slashdot reader Cognitive Dissident for sharing the article.

Read more of this story at Slashdot.

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