Audit of LAION-400M finds sexual violence, racial slurs, and stereotypes in dataset
An audit of the LAION-400M dataset by Abeba Birhane and colleagues at University College Dublin and University of Edinburgh found that its automated curation using CLIP failed to remove sexually explicit images, racial slurs, and stereotypes. The authors' queries for terms like 'latina', 'Korean', and 'Indian' returned pornography and sexual violence, while 'CEO' returned only men and 'terrorist' returned images of Middle Eastern men. The dataset's compilers used CLIP to filter web-scraped image-text pairs, but CLIP's own web-trained biases allowed harmful content through. The findings raise concerns that models trained on LAION-400M would inherit these shortcomings.
- Company involved
- LAION-400M team
- AI system involved
- LAION-400M
7 source articles · read the reporting →
Oxford Town Centre CCTV dataset used without consent for AI research
The Oxford Town Centre dataset is a CCTV video of pedestrians in Oxford, England, captured from a public surveillance camera without the knowledge or consent of the approximately 2,200 people shown. The footage was used in over 60 research projects, including commercial research by Amazon, Disney, and Huawei, for developing facial recognition, sex classification, and social distancing algorithms. The dataset was taken down in June 2020, but no remediation was provided to the individuals depicted.
- Company involved
- University of Oxford
- AI system involved
- Oxford Town Centre dataset
5 source articles · read the reporting →
OpenDream AI art site allowed users to generate child sexual abuse material
OpenDream, an AI image generation platform, allowed users to generate and publicly display child sexual abuse material (CSAM) and non-consensual deepfakes from at least December 2023 until July 2024. The platform, operated by CBM Media Pte Ltd in Singapore, offered paid plans with NSFW prompts and models. Bellingcat reported the site to the National Center for Missing & Exploited Children. After Bellingcat's inquiry, the CSAM was removed from the site and search engines, and Google terminated OpenDream's AdSense account.
- Company involved
- CBM Media Pte Ltd
- AI system involved
- OpenDream
3 source articles · read the reporting →
Big Tech companies used YouTube videos to train AI without consent
Proof News found that subtitles from 173,536 YouTube videos were used by companies including Anthropic, Nvidia, Apple, and Salesforce to train AI models. The dataset, called YouTube Subtitles, was created by EleutherAI and published in 2020. Creators were not aware and some have expressed frustration, calling it theft. The companies have acknowledged using the dataset but argue it was publicly available.
- Company involved
- Anthropic, Nvidia, Apple, Salesforce, Bloomberg, Databricks
- AI system involved
- Claude, OpenELM
10 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 →
Check Point Research finds Google Bard can generate phishing emails and malware
Check Point Research analysed Google's generative AI platform Bard and found it could be used to create phishing emails, malware keyloggers, and basic ransomware code with minimal manipulation. Bard's anti-abuse restrictors were significantly lower than ChatGPT's, making it easier to generate malicious content. The researchers demonstrated these capabilities in controlled tests but did not report actual harm to specific individuals or organisations.
- Company involved
- Google
- AI system involved
- Bard
4 source articles · read the reporting →
Google Lens AI overviews share misleading information about images
Google Lens's AI overviews provided false and misleading information about images, including miscaptioned videos and AI-generated footage. Full Fact found that the overviews repeated debunked claims and failed to identify inauthentic content. Google acknowledged the errors and said they were caused by problems with visual search results.
- Company involved
- Google
- AI system involved
- Google Lens AI overviews
2 source articles · read the reporting →
DeepSeek's R1 chatbot failed to block any jailbreak prompts in security tests
Security researchers from Cisco and the University of Pennsylvania tested 50 well-known jailbreak prompts against DeepSeek's R1 reasoning model. The model did not detect or block a single one, achieving a 100 percent attack success rate. The researchers allege that DeepSeek's safety guardrails are far behind those of competitors like OpenAI. DeepSeek did not respond to requests for comment.
- Company involved
- DeepSeek
- AI system involved
- DeepSeek R1
3 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 →
Developer iperov releases DeepFaceLive real-time face-swap AI on GitHub
The developer iperov has published DeepFaceLive, a neural network for real-time face swapping, on GitHub. The tool automatically replaces a user's face in live streams and video calls with a nonexistent model or a celebrity, and the installation instructions are simple. The developer claims 95% of deepfakes on YouTube were made with the related DeepFaceLab. No specific harm is reported, but the article highlights the tool's potential for misuse.
- Company involved
- iperov
- AI system involved
- DeepFaceLive
7 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 →
BBC study finds AI chatbots produce inaccurate news summaries
A BBC study found that four major AI chatbots – ChatGPT, Copilot, Gemini and Perplexity – produced inaccurate summaries of BBC news articles. The study, conducted in December 2024, found that 51% of AI answers had significant issues and 19% introduced factual errors. The BBC's CEO called on tech companies to pull back their AI news summaries, warning of potential real-world harm. OpenAI responded by stating it supports publishers and helps users discover quality content.
- Company involved
- OpenAI, Microsoft, Google, Perplexity
- AI system involved
- ChatGPT, Copilot, Gemini, Perplexity
5 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 →
Meta's AI sticker tool generates lewd, rude, and nude images
Meta's new AI-generated sticker feature on Facebook Messenger allowed users to create inappropriate images, including child soldiers, nude politicians, and sexualised characters. The tool, powered by Meta's Llama 2 model, was found to have insufficient content filters, enabling users to bypass restrictions with typos. Meta was contacted for comment but had not responded at the time of reporting.
- Company involved
- Meta
- AI system involved
- AI-generated sticker tool
1 source article · read the reporting →
UK universities detect deepfake applicants in automated interviews
Some UK universities use Enroly's automated online interviews to screen international student applicants. Enroly detected about 30 cases of deepfake attempts out of 20,000 interviews during the January 2025 intake. The deepfakes used AI-generated images and audio to replace applicants' faces and voices. Enroly stated it caught the attempts using real-time detection methods.
- Company involved
- UK universities
- AI system involved
- Enroly
5 source articles · read the reporting →
AI-generated videos spread false earthquake destruction narratives in Myanmar
AI-generated videos falsely depicting large-scale destruction from an earthquake in Myanmar circulated widely on social media platforms like Twitter, Facebook, and TikTok. The videos showed collapsed buildings and distressed victims, leading to widespread panic before fact-checkers debunked them as AI fabrications. The incident highlights the challenge of distinguishing real from AI-generated content and the rapid spread of misinformation during crises.
8 source articles · 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 →
School AI surveillance like Gaggle can lead to false alarms, arrests
AI surveillance tools used in schools, such as Gaggle, GoGuardian and Bark, are reported to generate false alarms that have led to student arrests. The article examines cases where automated monitoring flagged innocent behaviour as threats, causing harm to students and families.
2 source articles · read the reporting →
Deepfake video of CBS anchor and suspect in Frisco stabbing spreads online
An AI-generated deepfake video manipulated a CBS News Texas anchor's image and created a fake video of the suspect in a Frisco high school stabbing. The video was posted on Instagram and reposted on multiple accounts before being taken down. The incident highlights the growing ease of creating convincing deepfakes and the spread of misinformation online.
1 source article · read the reporting →
Google contractors targeted homeless people for Pixel 4 facial recognition data
Google hired Randstad to collect facial data to train the Pixel 4's face recognition system. Contractors allegedly targeted homeless people and unaware students, using deceptive tactics such as calling it a "selfie game" and offering $5 without informing subjects they were being recorded. Google suspended the research program and opened an investigation following the report.
- Company involved
- Google
- AI system involved
- Pixel 4 facial recognition
1 source article · read the reporting →
Adobe Firefly trained on thousands of Midjourney images, Bloomberg reports
Bloomberg has reported that Adobe's Firefly image generator was trained using thousands of images from competitor Midjourney. Adobe says these made up about 5% of the training data and were part of the Adobe Stock library. The company has marketed Firefly as ethically trained and offered enterprise customers indemnity against copyright claims. Adobe responded that all Adobe Stock images undergo moderation, but the report has raised questions about Firefly's copyright safety.
- Company involved
- Adobe
- AI system involved
- Firefly
7 source articles · read the reporting →
Meta Smart Glasses Lawsuit Claims Sex, Bathroom Footage Was Sent to Overseas AI Workers - Law Commentary
Recorded and transmitted private footage of users and bystanders to overseas AI workers
- Company involved
- Meta
- AI system involved
- Meta Smart Glasses
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 →
