Facial recognition pilot at Berlin-Südkreuz by German police
A year-long pilot project of facial recognition technology was carried out at Berlin-Südkreuz train station from August 2017 to July 2018. The project was initiated by the German Ministry of the Interior, federal and state police, and supported by Deutsche Bahn. The pilot became a catalyst for media attention, spurring discourse on the efficiency and legitimacy of surveillance technology.
- Company involved
- German Federal Police
10 source articles · read the reporting →
Chinese police use face recognition to monitor Uyghur minority
Chinese police departments in multiple provinces have deployed facial recognition systems from AI companies such as Yitu, Megvii, SenseTime, and CloudWalk to identify and track Uyghur people, a Muslim minority. The systems scan crowds and trigger alerts when a Uyghur individual is detected, enabling targeted surveillance across cities including Hangzhou, Wenzhou, and Sanmenxia. Documents and interviews show that one system in Sanmenxia conducted over 500,000 screenings in a month, flagging thousands as Uyghur. Police use this technology to monitor and control the Uyghur population, who have been subjected to mass detention and other repressive measures. The article reports these practices from interviews with anonymous sources and procurement documents.
- Company involved
- Chinese police departments (various provinces)
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Chinese facial recognition systems used in Zimbabwe and Uganda raise bias and privacy concerns
Chinese technology companies CloudWalk and Huawei have supplied facial recognition systems to the governments of Zimbabwe and Uganda for law enforcement and administration. The systems are alleged to be inaccurate for dark-skinned individuals, potentially leading to false positives and unwarranted surveillance. Digital rights advocates warn that these systems could exacerbate civil liberties abuses in countries with weak legal protections. The use of these technologies is part of China's growing geopolitical influence and corporate expansion in Africa.
- Company involved
- Zimbabwean government; Ugandan government
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MIT researchers used YouTube videos to train Speech2Face without consent
MIT researchers used YouTube videos, including one of Nick Sullivan, to train a model called Speech2Face that generates faces from voices. Sullivan discovered his data was used without his consent and expressed surprise. The researchers defended their use of public data, but the incident raised ethical questions about consent in AI research.
- Company involved
- Massachusetts Institute of Technology
- AI system involved
- Speech2Face
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Kneron researchers bypass facial recognition at airport and train station using mask and photo
In December 2019, Kneron researchers tested facial recognition systems at a high-speed rail station in China, Schiphol Airport, point-of-sale terminals, and a mobile phone. Using a high-quality 3D mask and a photo on a phone screen, they successfully deceived the systems, gaining access and making purchases. The survey highlighted security shortfalls in many commercial facial recognition solutions.
- Company involved
- Schiphol Airport; high-speed rail station in China
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HP webcam facial tracking fails to follow black man's face
A black man, Desi, posted a YouTube video showing that HP's webcam facial tracking software failed to follow his face while it tracked a white woman's face. HP acknowledged the issue and said it was working with partners to investigate. The company attributed the problem to insufficient lighting affecting contrast detection.
- Company involved
- HP
- AI system involved
- HP Webcam facial tracking software
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Apple Face ID fails to distinguish between siblings in video
A video posted on Reddit shows Apple's Face ID unlocking an iPhone X for a sibling who was not the enrolled user, after he put on glasses similar to his brother's. The system had been set up by the other brother, and the video demonstrates that Face ID can be fooled by siblings with similar facial features. Apple has acknowledged that Face ID may be less secure for siblings with similar appearances.
- Company involved
- Apple
- AI system involved
- Face ID
9 source articles · read the reporting →
MBN introduces AI news anchor AI Kim in South Korea
MBN, a South Korean cable channel, introduced an AI-powered news anchor based on anchor Kim Ju-ha. The AI, named AI Kim, was created through deep learning using 10 hours of video of Kim. It presents news in her voice and manner, intended to allow 24/7 broadcasting.
- Company involved
- MBN
- AI system involved
- AI Kim
10 source articles · read the reporting →
Police facial recognition robot identifies anger and distress
A police facial recognition robot identifies anger and distress. The article gives no further details about the system, its deployment, or any consequences.
8 source articles · read the reporting →
Guangxi homeowners lose homes in facial recognition fraud
Over 10 homeowners in Guangxi, China, were defrauded by a real estate agent who used the government's '邕e登' app to transfer their property without consent. The agent tricked them into using facial recognition for what they thought was file checking, but instead the system processed property transfers. The agent has been arrested and the case is under investigation. The local government has restricted the properties and plans to upgrade the app's security.
- Company involved
- 南宁市自然资源局
- AI system involved
- 邕e登
10 source articles · read the reporting →
Zao deepfake app sparks privacy and fraud fears in China
The Zao face-swapping app, developed by Momo, sparked privacy and fraud fears after its launch in China on 29 August 2019. The app's terms and conditions initially gave the developer permanent rights to use users' images, which experts said broke Chinese law. Momo subsequently apologized and deleted the controversial clause. Alipay assured users that deepfakes could not bypass its facial recognition payment system.
- Company involved
- Momo
- AI system involved
- Zao
10 source articles · read the reporting →
Alonzo Sawyer falsely arrested after face recognition misidentification by Maryland Transit Police
Alonzo Sawyer was arrested in spring 2022 after an intelligence analyst using face recognition software identified him as a possible match for a bus assault suspect. He spent nine days in jail before the actual suspect was identified by the victim. His wife Carronne Sawyer advocated for his release and later testified in support of proposed Maryland legislation to regulate police use of face recognition. The incident is one of several known false arrests of Black men due to face recognition errors.
- Company involved
- Maryland Transit Administration Police
6 source articles · read the reporting →
FindFace facial recognition app used to out sex workers in Russia
The FindFace facial recognition app is being used by users of the Russian website Dvach to identify porn actresses and sex workers from images and match them to their VKontakte accounts. The users then spam the victims' families and friends with the information, aiming to out them. Several victims complained to FindFace, but the founder stated there was no way to prevent the misuse.
- Company involved
- FindFace
- AI system involved
- FindFace
7 source articles · read the reporting →
Chinese tech companies patented Uyghur detection analytics
IPVM reported that Huawei, Megvii, SenseTime, and other Chinese tech companies filed patents in China for AI systems that can detect Uyghur ethnicity. The patents included Uyghur as a detectable attribute for facial recognition and image retrieval. The companies responded by saying they would amend or withdraw the patents, claiming the references were misunderstood or regrettable, while the technology is used by police for surveillance and targeting of Uyghurs.
10 source articles · read the reporting →
AnyVision patents drone facial recognition technology
AnyVision, an Israeli private surveillance company, filed a US patent for drone technology that uses facial recognition to identify people on the ground. The patent describes adaptive positioning of drones to find optimal angles for accurate facial recognition. The technology is not yet in production, but the company's CEO stated it will become a reality soon. Potential privacy concerns have been raised.
- Company involved
- AnyVision
- AI system involved
- Adaptive positioning of drones for enhanced facial recognition
9 source articles · read the reporting →
Kohler, BMW, MaxMara secretly collected customers' facial recognition data
During the 2021 CCTV 3·15 Gala, it was revealed that Kohler, BMW, and MaxMara stores had installed facial recognition cameras from vendors such as Wandianzhang and Youluoke. These cameras captured customers' facial data without their knowledge or consent, and the data was used to track customer visits and inform sales strategies. The systems were deployed in thousands of stores across China, collecting over 100 million facial records. The companies did not inform customers or obtain consent, violating Chinese privacy laws.
- Company involved
- Kohler (China) Investment Co., Ltd., ZhengTong Auto (BMW dealerships), MaxMara
- AI system involved
- Facial recognition cameras from Wandianzhang, Youluoke, Yaliang, Ruiwei
10 source articles · read the reporting →
Qoves facial assessment tool ranks journalist's attractiveness and suggests procedures
Tate Ryan-Mosley, a journalist at MIT Technology Review, used Qoves Studio's AI facial assessment tool, which automatically scored her face and listed perceived flaws such as smile lines and under-eye bags. The tool recommended skin-care products and paid surgical consultation reports. She also tried Megvii's Face++ beauty-scoring system, which gave her two percentage attractiveness scores. The article raises concerns that such algorithms are inaccurate, biased and not transparently used by social media platforms.
- Company involved
- Qoves Studio
- AI system involved
- Facial Assessment Tool
9 source articles · read the reporting →
Myanmar junta deploys Huawei facial recognition system threatening rights
In December 2020, the Myanmar military junta rolled out the first phase of its Safe City initiative in Naypyidaw, using 335 surveillance cameras from Huawei equipped with facial recognition and license plate recognition technology. The system automatically scans faces and plates and alerts authorities to individuals on a wanted list. Human Rights Watch warns that the system poses a grave risk to privacy and rights, especially for anti-coup activists, and that the junta has suspended key privacy protections.
- Company involved
- Myanmar military junta
- AI system involved
- Safe City surveillance system
10 source articles · read the reporting →
DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
DeepScore, a Tokyo-based company, is marketing an app that uses facial and voice recognition to score people's trustworthiness for lenders and insurers in Japan, Indonesia, Vietnam and the Philippines. The company says the app can detect deception with 70 per cent accuracy, but researchers and privacy advocates say there is no reliable scientific basis for such judgments and warn of discrimination and privacy harms. The chief executive said the system is only one part of lenders' and insurers' decision-making and that people can choose not to use it. Critics respond that an unequal balance of power makes consent difficult.
- Company involved
- DeepScore
- AI system involved
- DeepScore
6 source articles · read the reporting →
Huawei and Megvii tested Uyghur alarm facial recognition system
Huawei and Megvii conducted an interoperability test in 2018 that verified a 'Uyghur alarm' function in Megvii's facial recognition system, according to a confidential report found by IPVM. The system could identify Uyghur minorities and alert police. Huawei denied real-world application and deleted the report after IPVM inquired. Megvii denied targeting ethnic groups. The test report was publicly accessible on Huawei's European website.
- Company involved
- Huawei
- AI system involved
- Megvii Dynamic Face Recognition
10 source articles · read the reporting →
AI emotion-detection software tested on Uyghurs in Xinjiang
A software engineer alleged that AI-based emotion-detection cameras were installed in police stations in Xinjiang and tested on Uyghur detainees. The system, placed three metres from subjects, analysed facial expressions and skin pores to create a pie chart indicating emotional state, with red suggesting anxiety, which was used as an indication of guilt. The engineer claimed the software was intended for 'pre-judgement without any credible evidence'. Human Rights Watch described the material as shocking, and the Chinese embassy denied the existence of such technology.
- Company involved
- Chinese government
- AI system involved
- Emotion detection camera
10 source articles · read the reporting →
Serbia's Ministry of Interior deploys thousands of Huawei facial recognition cameras in Belgrade
In early 2019, Serbia's Ministry of Interior announced the deployment of a thousand smart surveillance cameras with facial and license plate recognition capabilities, supplied by Huawei, across Belgrade. The Ministry refused to release information about the project, citing confidentiality, and failed to conduct a legally required Data Protection Impact Assessment. Citizens responded by crowdsourcing camera locations via the hashtag #hiljadekamera and a website. The system remains in operation with no public debate or transparency.
- Company involved
- Ministry of Interior
- AI system involved
- Huawei smart surveillance cameras
10 source articles · read the reporting →
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 →
FTC settles with IntelliVision over deceptive facial recognition claims
The Federal Trade Commission (FTC) took action against IntelliVision Technologies Corp. for making false, misleading, or unsubstantiated claims about its AI-powered facial recognition software. The company allegedly claimed its software had one of the highest accuracy rates on the market and was free of gender or racial bias, without supporting evidence. The FTC also alleged that IntelliVision did not train its software on millions of faces as claimed, but on images of approximately 100,000 individuals. Under a proposed consent order, IntelliVision is prohibited from making such misrepresentations without competent and reliable testing.
- Company involved
- IntelliVision Technologies Corp.
- AI system involved
- IntelliVision facial recognition software
9 source articles · read the reporting →
