JR East scraps facial recognition plan for past offenders
JR East, a Japanese train operator, installed facial recognition cameras at stations to identify past offenders, named criminal suspects, and suspicious persons. After criticism over a lack of societal consent, the company announced on 21 September 2021 that it had unregistered past offenders from the system. The company stated it would reinstate the system once clearer guidelines are established. No actual harm was reported.
- Company involved
- JR East
7 source articles · read the reporting →
Met Police buys £3m retrospective facial recognition system
The Metropolitan Police Service (MPS) has awarded a £3 million, four-year contract to Northgate Public Services for a new retrospective facial-recognition (RFR) system to be deployed within three months. RFR processes biometric information from historic CCTV, social media, and other images to identify suspects and missing persons, operating retroactively unlike live facial recognition. The procurement was approved by the Mayor's Office for Policing and Crime in August 2021. The MPS states that human-in-the-loop decision-making will be used, but digital rights groups and a former biometrics commissioner have raised concerns about potential discrimination, overrepresentation of marginalised groups in watch lists, and lack of a legislative framework.
- Company involved
- Metropolitan Police Service
- AI system involved
- Retrospective facial-recognition software
9 source articles · read the reporting →
Face recognition bypass used to register shell companies for tax fraud in Shanghai
In a major tax fraud case in Shanghai, criminals used face recognition cracking techniques to register shell companies on government platforms. They purchased high-resolution photos and used apps to create fake videos, then used modified phones to bypass face recognition authentication. The scheme resulted in fraudulent invoices totaling over 500 million yuan. The case was prosecuted by the Shanghai procuratorate.
7 source articles · read the reporting →
St. Louis police arrest man after facial recognition match without corroboration
Christopher Gatlin was arrested and jailed for an assault on a security guard after police used facial recognition software to identify him from a blurry surveillance image. The lead detective built a case against Gatlin despite the city's policy that AI results are nonscientific and should not be the sole basis for a decision. A witness was steered by officers to select Gatlin from a photo lineup, and the case was later dismissed after more than two years. Gatlin alleges wrongful arrest and has filed a lawsuit.
- Company involved
- St. Louis County Police Department
- AI system involved
- Unnamed facial recognition program
4 source articles · read the reporting →
US CBP deploys CBP One app using facial recognition for asylum seekers amid privacy concerns
The article reports that U.S. Customs and Border Protection quietly deployed the CBP One mobile app at the Mexico border. The app uses facial recognition and geolocation to collect and verify information on asylum seekers before they enter the United States. Privacy experts warn that the app poses risks of persistent surveillance and that the facial recognition algorithm is unreliable for people of colour. A previous CBP facial recognition pilot was hacked, exposing images. CBP says the app is voluntary and data is secure.
- Company involved
- U.S. Customs and Border Protection
- AI system involved
- CBP One
8 source articles · read the reporting →
Five Illinois residents sue facial recognition company Pimeyes under BIPA
Five Illinois residents are suing Pimeyes, a facial recognition search engine, alleging that the company violated the Illinois Biometric Information Privacy Act by collecting and using their facial data without consent. The lawsuit claims that Pimeyes made the residents' photos and information available in search results, enabling unauthorized access. The company has not yet been served with the lawsuit, and its CEO stated he had no prior knowledge of the case.
- Company involved
- Pimeyes
- AI system involved
- Pimeyes
7 source articles · read the reporting →
N-Tech.lab's FindFace used to identify St Petersburg metro passengers without consent
Egor Tsvetkov photographed passengers on the St Petersburg metro without their permission and used N-Tech.lab's facial recognition service FindFace to match their faces to public Vkontakte profiles. He published the results in an art project called 'Your Face is Big Data', saying he wanted to show how 'digital narcissism' can lead to stalking. Privacy advocates said the project was ethically problematic because the subjects had not consented and their identities were exposed. FindFace had been launched by N-Tech.lab in February 2016.
- Company involved
- N-Tech.lab
- AI system involved
- FindFace
8 source articles · read the reporting →
Met Police accessed PimEyes facial recognition site 2,000 times
The Metropolitan Police accessed the controversial facial recognition search engine PimEyes over 2,000 times from its computers in the first three months of 2024. The force stated that the hits did not necessarily mean searches were conducted, but after being alerted by i and Liberty Investigates, it blocked access to the site and strengthened safeguards. Privacy campaigners and MPs have raised concerns that the unregulated tool could be used for stalking and surveillance.
- Company involved
- Metropolitan Police Service
- AI system involved
- PimEyes
3 source articles · read the reporting →
OnlyFake site uses neural networks to generate fake IDs, bypasses OKX verification
An underground website called OnlyFake uses neural networks to generate realistic photos of fake IDs for $15. The journalist tested the service and obtained a convincing California driver's license. They then used another fake ID to successfully bypass the identity verification process on OKX, a cryptocurrency exchange. The article alleges that this technology could streamline bank fraud and money laundering, but reports no actual financial loss.
- Company involved
- OKX
- AI system involved
- OnlyFake
10 source articles · read the reporting →
Serco Leisure issued enforcement notices for unlawful biometric monitoring of employees
Serco Leisure and associated trusts used facial recognition and fingerprint scanning to monitor employee attendance at 38 leisure facilities. The ICO found they unlawfully processed biometric data of over 2,000 employees. Enforcement notices were issued ordering them to stop.
- Company involved
- Serco Leisure Operating Limited
8 source articles · read the reporting →
Italian DPA says Interior Ministry's Sari Real Time facial recognition lacks legal basis
The Garante per la protezione dei dati personali issued an opinion on Sari Real Time, a facial recognition system developed for the Italian Ministry of Interior. The system, yet to become operational, would compare live video footage of people in public areas with a watch-list and alert police operators. The authority found the planned biometric processing lacked a specific legal basis under Italian law and Directive (EU) 2016/680, and warned it could turn targeted surveillance into mass surveillance.
- Company involved
- Ministero dell'Interno – Dipartimento della pubblica sicurezza
- AI system involved
- Sari Real Time
10 source articles · read the reporting →
Facial recognition system falsely detains woman in Copacabana, Rio de Janeiro
A facial recognition system deployed by the Military Police of Rio de Janeiro in Copacabana falsely identified a local resident as a wanted fugitive. The system flagged the woman with a 70% probability match, leading police to detain her for over an hour before realising the error. The police spokesperson acknowledged the system's statistical error rate and stated that officers attempt to verify identities on site. The incident is one of several false positives reported with the system.
- Company involved
- Polícia Militar do Rio de Janeiro
10 source articles · read the reporting →
NYPD uses facial recognition to identify crime suspects since 2011
The New York City Police Department has used facial recognition technology since 2011 to compare images from criminal investigations with lawfully possessed arrest photos. The system generates possible matches that are then reviewed by human investigators before being used as leads. The NYPD states that no one has been arrested solely based on a facial recognition search and that it knows of no false arrests from such matches, though studies have found accuracy variations for certain demographic groups.
- Company involved
- New York City Police Department
- AI system involved
- Facial recognition
8 source articles · read the reporting →
French police secretly used Briefcam facial recognition since 2015
The French National Police has been using Briefcam's Video Synopsis software since 2015, according to internal documents obtained by Disclose. The software, which includes facial recognition capabilities, was deployed without the required data protection impact assessment or notification to the CNIL. The Ministry of the Interior concealed the use of this tool for eight years. The police hierarchy allegedly used the software for facial recognition without judicial requisition, and the DGPN did not respond to requests for comment.
- Company involved
- French National Police
- AI system involved
- Briefcam Video Synopsis
10 source articles · read the reporting →
Delhi Police use facial recognition to screen PM Modi rally attendees
Delhi Police used an Automated Facial Recognition System (AFRS) to screen crowds at Prime Minister Narendra Modi's rally on December 22, 2019. The system, originally installed to find missing children, was used to identify possible disruptions. Privacy advocates called the move illegal and unconstitutional, saying it amounts to mass surveillance. Police defended the use, citing credible intelligence about possible disruptions.
- Company involved
- Delhi Police
- AI system involved
- Automated Facial Recognition System (AFRS)
6 source articles · read the reporting →
CBP One app strands migrants in Mexico, aids organised crime, says HRW
The US Customs and Border Protection's CBP One app, which is mandatory for asylum seekers, offers only 1,450 appointments per day while border arrivals average 7,240. Human Rights Watch reports that this digital metering leaves migrants stranded in Mexico, vulnerable to kidnapping and extortion by organised crime groups. The report alleges that the app enriches criminal cartels and that exceptions for imminent threats are often ignored.
- Company involved
- US Customs and Border Protection
- AI system involved
- CBP One
10 source articles · read the reporting →
Outabox hack exposes biometric data of patrons at bars, clubs and casinos
Hackers claiming to be former employees published a website allowing searches of Outabox's facial recognition database, exposing biometric and other sensitive data of patrons used for age verification at bars, clubs and casinos. The Surveillance Technology Oversight Project warns that the breach demonstrates the danger of facial recognition for age verification. S.T.O.P. has launched a campaign to ban facial recognition in public accommodations.
- Company involved
- Outabox
8 source articles · read the reporting →
Vumacam's AI CCTV system flagged 28 black people as suspicious in Johannesburg suburbs
In Johannesburg suburbs, Vumacam's AI-powered CCTV network using iSentry software flagged 28 black individuals as 'suspicious' in a shift report, according to a 2019 article. The system, deployed by private security firms, uses video analytics to detect abnormal behavior and alerts security guards. The article alleges that the system disproportionately targets people of color, reflecting racial bias in a racially divided country.
- Company involved
- Vumacam
- AI system involved
- iSentry
6 source articles · read the reporting →
Buenos Aires city government uses live facial recognition to track minors in criminal database
The Buenos Aires city government deployed a live facial recognition system in April 2019 that scans subway passengers and matches them against CONARC, a national database of alleged offenders. Human Rights Watch found that the database includes at least 166 children, some as young as one to three years old, and that the system has led to numerous false arrests. The system was implemented without public consultation, and there is no mechanism to correct mistakes. A civil rights organization filed a lawsuit, and the government is pushing a bill to legalize the technology.
- Company involved
- Buenos Aires city government
1 source article · read the reporting →
Ukrainian Hacker Pleads Guilty to Operating OnlyFake AI ID Scam Site
Yurii Nazarenko, a Ukrainian national, pleaded guilty to running OnlyFake, an AI-powered website that generated and sold over 10,000 counterfeit identification documents globally. The site allowed users to create realistic fake IDs, including driver's licenses and passports, to bypass identity verification at banks and cryptocurrency exchanges. Nazarenko faces up to 15 years in prison and agreed to forfeit $1.2 million. Sentencing is scheduled for June 2026.
- Company involved
- OnlyFake
- AI system involved
- OnlyFake
3 source articles · read the reporting →
Bahia Facial Recognition System Misidentifies Black Man as Wanted Criminal
Davi, a black administrative assistant, was tracked across 15 metro stations and approached by police after Bahia's facial recognition system falsely matched him to a wanted person. He was released after officers verified his identity. The system, supplied by Iecisa and Huawei, has a low accuracy rate and disproportionately affects black people. The government plans to expand it despite concerns over racial bias and errors.
- Company involved
- Secretaria de Segurança Pública da Bahia
2 source articles · read the reporting →
FBI and ICE use state driver's license photos for facial recognition without consent
The FBI and ICE have been scanning millions of Americans' driver's license photos using facial recognition technology without their knowledge or consent, according to newly released documents. The agencies accessed state DMV databases, turning them into a facial-recognition gold mine. This practice raises significant privacy concerns as it was done without public awareness or legal oversight.
- Company involved
- FBI and ICE
1 source article · read the reporting →
Clearview AI facial recognition app scrapes billions of images and is used by police
Clearview AI, a secretive start-up, built a facial recognition app that matches photos to a database of more than three billion images scraped from social media and websites. More than 600 law enforcement agencies, including the FBI and Department of Homeland Security, have used the tool to identify suspects in crimes such as shoplifting, identity theft and murder. The company monitored officers who ran a reporter's photo through the app, and its founder acknowledged designing an augmented-reality prototype but said there were no plans to release it. Critics warned the tool could end anonymity and enable misuse.
- Company involved
- Clearview AI
- AI system involved
- Clearview AI facial recognition app
2 source articles · read the reporting →
Xuhui police expand facial recognition surveillance to profile 1.1 million residents
The Xuhui District branch of the Shanghai Municipal Bureau of Public Security is expanding its Intelligent Image Recognition System, adding 2,500 facial recognition cameras and increased computing capacity to build profiles of residents and flag deviations. The project, contracted to US-sanctioned FiberHome, is designed to match each face to files on more than 50 million people. Officials say the system will analyse behaviour patterns and trigger early warnings.
- Company involved
- Shanghai Municipal Bureau of Public Security, Xuhui District Branch
- AI system involved
- Intelligent Image Recognition System
3 source articles · read the reporting →
