Cigna StressWaves Test found unreliable and invalid in independent study
A study published in Scientific Reports evaluated the Cigna StressWaves Test (CSWT), an AI tool that claims to assess psychological stress from speech. The study found that the CSWT had poor test-retest reliability and poor validity compared to the Perceived Stress Scale. The authors warned that widespread availability of the tool could lead to misleading results and negative consequences for users making healthcare decisions. Cigna has not publicly responded to the findings.
- Company involved
- Cigna
- AI system involved
- Cigna StressWaves Test
4 source articles · read the reporting →
Magic: The Gathering admits marketing image used AI
Magic: The Gathering posted a marketing image and initially claimed it was not created using AI. After community members pointed out AI components, the company admitted the mistake. The image was created by a vendor using AI tools in Photoshop. The company is now evaluating its vendor policies.
- Company involved
- Magic: The Gathering
- AI system involved
- Photoshop
10 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 →
Meta tracks employee keystrokes on Google, LinkedIn, Wikipedia for AI training
Meta is using an internal tool, Model Capability Initiative (MCI), to capture employees' keystrokes, mouse movements and screen contents on work computers, including on sites such as Google, LinkedIn, Wikipedia and Slack, to train AI agents. Meta confirmed the project and said safeguards protect sensitive content and that the data is not used for other purposes. Employees raised concerns in internal messages that the tool could expose passwords, product details and personal information. A Meta memo said staff can avoid capture by not doing personal work on work computers.
- Company involved
- Meta
- AI system involved
- Model Capability Initiative (MCI)
5 source articles · read the reporting →
AI image generators produce misleading election images, study finds
A study by the Center for Countering Digital Hate found that leading AI image generators, including Midjourney, DreamStudio, ChatGPT Plus, and Microsoft Image Creator, could be manipulated to create misleading election-related images. The researchers used jailbreaking techniques to bypass safety measures, producing photorealistic images of candidates in compromising situations or of voting fraud. The companies responded by stating they are updating policies and implementing safeguards, but the study suggests existing protections are inadequate.
- Company involved
- Midjourney, Stability AI, OpenAI, Microsoft
- AI system involved
- Midjourney, DreamStudio, ChatGPT Plus, Microsoft Image Creator
8 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 →
Study finds LLMs used in up to 16.9% of AI conference peer reviews
According to a new paper on arXiv, researchers have begun using generative AI services to help write peer reviews of machine learning papers submitted to leading AI conferences. The study analysed reviews from ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023 and estimated that between 6.5% and 16.9% of review text may have been substantially modified by large language models. The authors argue that this risks depriving authors of diverse expert feedback and may skew reviews towards AI model biases. They have called for greater transparency about the use of LLMs in peer review.
9 source articles · read the reporting →
Manchester Arena's Evolv weapon scanners fail to detect some knives, report finds
ASM Global's use of Evolv Express AI weapon scanners at Manchester Arena has been questioned after a private report found the system failed to detect large knives in 42% of walkthroughs. The report, produced by NCS4 and obtained by IPVM, also suggested the scanners may miss some bombs and components. Evolv did not dispute the findings but said it communicates capabilities and limitations to customers. ASM Global declined to comment on security matters.
- Company involved
- ASM Global
- AI system involved
- Evolv Express
5 source articles · read the reporting →
Seoul Metropolitan Government rolls out AI CCTV cameras to prevent suicides
The Seoul Metropolitan Government has rolled out AI-enabled CCTV cameras on Han River bridges to identify people at risk of suicide. The system uses deep learning to analyse behavioural patterns and alerts rescue teams. Experts and Privacy International have raised concerns that it is invasive and could be misused because it captures biometric data without explicit consent. The article also considers whether such technology could be implemented in India.
- Company involved
- Seoul Metropolitan Government
8 source articles · read the reporting →
MIT apologizes and pulls offline dataset that taught AI to use slurs
MIT permanently removed its 80 Million Tiny Images dataset after researchers discovered it contained thousands of images labeled with racist and misogynistic slurs. The dataset, used to train AI systems for object detection, was built by automatically scraping images from the internet using a list of nouns from WordNet that included derogatory terms. MIT apologized and urged the community to delete copies of the dataset.
- Company involved
- Massachusetts Institute of Technology
- AI system involved
- 80 Million Tiny Images
10 source articles · read the reporting →
Anti-piracy group takes down Books3 dataset used to train Meta's LLaMA
The Danish anti-piracy group Rights Alliance sent a DMCA takedown request to The Eye, which hosted the Books3 dataset containing 196,640 copyrighted books. The dataset was used by Meta to train its LLaMA language model. Authors including Sarah Silverman have filed a class action lawsuit against Meta for using their works without permission. The dataset has been taken offline, but copies remain available.
- Company involved
- Meta
- AI system involved
- LLaMA
10 source articles · read the reporting →
Network Rail denies using AI cameras to detect passengers' emotions
Network Rail conducted a trial of AI cameras at major stations in 2022 that analysed demographic details and reportedly assessed emotions. Documents obtained by Big Brother Watch indicate the system was capable of determining whether a passenger was happy, sad or angry, with potential use for measuring satisfaction and advertising. Network Rail denied that any emotion analysis took place and stated the image analysis for demographic details has ended. Big Brother Watch has submitted a complaint to the Information Commissioner about the trial.
- Company involved
- Network Rail
- AI system involved
- Amazon Rekognition
7 source articles · read the reporting →
Stable Diffusion 3 Medium release generates anatomically incorrect images
Stability AI released Stable Diffusion 3 Medium, an AI image generator, on June 12, 2024. Users on Reddit reported that the model produces mangled human anatomy, such as deformed hands and bodies. The failures are attributed to aggressive NSFW content filtering in the training data that removed images of human anatomy. The company has not responded to the criticism.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion 3 Medium
4 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 →
Audit of RisCanvi finds biases and reliability issues in criminal justice system
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
- Company involved
- Catalonia's criminal justice system
- AI system involved
- RisCanvi
4 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 →
Microsoft Dynamics 365 Field Service AI singles out workers in performance predictions
A report by Cracked Labs found that Microsoft's Dynamics 365 Field Service software uses AI to generate performance metrics and predict task durations, singling out individual workers. The AI predictions can be influenced by the worker's identity, such as increasing or decreasing estimated duration. Microsoft stated the system is not intended for employment decisions and is not a surveillance tool, but the report raises concerns about potential misuse for worker monitoring.
- Company involved
- Microsoft
- AI system involved
- Dynamics 365 Field Service
6 source articles · read the reporting →
Two women hospitalized after stopping medication on ChatGPT's advice
Two women in Ho Chi Minh City, Vietnam, stopped taking prescribed medications for diabetes and high cholesterol after following advice from OpenAI's ChatGPT. This led to severe health complications, including dangerously high blood sugar and signs of myocardial ischemia, requiring hospitalization. The treating doctor warned that AI cannot replace medical professionals and that self-medicating based on AI advice can be life-threatening.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
1 source article · read the reporting →
ChatGPT Health fails to direct 52% of medical emergencies to emergency care in study
A study published in Nature Medicine found that OpenAI's ChatGPT Health tool under-triaged 52% of true medical emergencies, directing users to non-urgent care instead of emergency departments. The AI also misclassified 35% of non-urgent cases. Researchers at Mount Sinai conducted 960 tests across 60 clinical scenarios, noting the tool's susceptibility to anchoring bias when symptoms were minimized. The study highlights potential safety concerns as millions use AI for health guidance.
- Company involved
- OpenAI
- AI system involved
- ChatGPT Health
4 source articles · read the reporting →
New Records Show Medicare WISeR AI Prior Authorization Model Causing Inappropriate Denials of Care - Medicare Rights Center
The system denied or delayed prior authorization for medical procedures, affecting Medicare beneficiaries in six states.
- Company involved
- Centers for Medicare & Medicaid Services
- AI system involved
- WISeR
1 source article · read the reporting →
ChatGPT 4o image generator used to create fake receipts
ChatGPT's new image generator, part of the 4o model, can generate realistic fake restaurant receipts. Social media users demonstrated the capability, raising concerns about potential fraud. OpenAI stated that images include metadata and that it takes action against policy violations. The company defended the feature as allowing creative freedom.
- Company involved
- OpenAI
- AI system involved
- ChatGPT 4o image generator
5 source articles · read the reporting →
AI Deepfake of RTK Journalist Used in Health Scam in Kosovo
In December 2025, a deepfake video manipulated the image and voice of RTK journalist Gëzim Bimbashi to falsely promote a fake cure for joint diseases. The video used the RTK logo to appear credible. Bimbashi denied any involvement, warning that AI-generated disinformation poses a serious risk to public figures. The incident is part of a broader trend of AI-fabricated health scams targeting well-known personalities in Kosovo and Albania.
3 source articles · read the reporting →
Duke University MTMC Dataset Used in Authoritarian Surveillance Research
Duke University created and openly distributed the Duke MTMC dataset, containing surveillance footage of approximately 2,000 students and visitors on campus. The dataset was used by numerous organisations, including Chinese military-linked companies like SenseTime and Hikvision, for developing person re-identification and facial recognition technologies. Following an investigation by exposing.ai and the Financial Times, Duke University terminated the dataset in May 2019. The incident highlights the privacy risks of academic datasets being repurposed for mass surveillance without consent.
- Company involved
- Duke University
- AI system involved
- Duke MTMC
1 source article · read the reporting →
Manchester City to Trial Facial Recognition at Etihad Stadium
Manchester City are set to trial facial recognition software supplied by Blink Identity at the Etihad Stadium. The system would scan fans' faces to check whether they have bought tickets and allow entry, with the aim of reducing matchday queues. Fans would need to sign up using a picture of their face. The article notes concerns about the potential security of users, but the club and vendor say they are committed to protecting fans.
- Company involved
- Manchester City
1 source article · read the reporting →
