Virginia crime lab faces first challenge to secret DNA algorithm
A defendant in an armed-robbery case in Fairfax County is challenging a secret algorithm used by the Virginia crime lab to interpret DNA evidence. The lab could not make a conventional match because skin-cell DNA on the victim's shirt was mixed with DNA from too many people; the algorithm identified the defendant as a contributor. The defendant is seeking to scrutinise the algorithm, reportedly for the first time.
- Company involved
- Virginia crime lab
10 source articles · read the reporting →
Google Health's diabetic retinopathy AI faced real-world issues in Thailand clinics
Google Health deployed a deep-learning system to screen for diabetic retinopathy in 11 clinics across Thailand. The AI was highly accurate in lab tests but rejected over a fifth of eye scans in real-world conditions due to poor lighting and slow internet. Patients whose scans were rejected had to visit specialists at other clinics, causing inconvenience and frustration for nurses. Google Health is now working with local staff to improve the system's workflow.
- Company involved
- Google Health
10 source articles · read the reporting →
Perth hospital group bans ChatGPT after doctor used it for a patient discharge summary
South Metropolitan Health Service, which runs five hospitals in Perth, ordered staff to stop using ChatGPT for work involving patient information after an email said some staff had used the AI chatbot to write medical notes. The service later clarified that only one doctor had used the tool to generate a patient discharge summary and that no confidential patient information had been breached. The Australian Medical Association has called for national regulations to ensure a human is involved in AI-assisted health decisions.
- Company involved
- South Metropolitan Health Service
- AI system involved
- ChatGPT
6 source articles · read the reporting →
Four commercial large language models perpetuate race-based medical misconceptions
A study published in npj Digital Medicine tested four commercial large language models (Bard, ChatGPT, GPT-4, and Claude) for their tendency to propagate discredited race-based medical beliefs. When asked about kidney function, lung capacity, and skin thickness, the models sometimes endorsed debunked racial differences, particularly affecting Black patients. The study concludes that these biases pose a potential hazard and urges caution before using such models in clinical decision-making.
- Company involved
- Not named in article (refers to commercial LLMs generically as Google's Bard, OpenAI's ChatGPT and GPT-4, and Anthropic's Claude)
- AI system involved
- Bard, ChatGPT, GPT-4, Claude
6 source articles · read the reporting →
MrDeepFakes hosted non-consensual deepfake images of journalist Patrizia Schlosser
Patrizia Schlosser, a German investigative journalist, found more than 30 pornographic images of herself on MrDeepFakes, a website hosting non-consensual deepfake content. The images had been online for almost two years before being removed in January 2025. Bellingcat's investigation linked MrDeepFakes to apps including Deepswap and Candy.ai, which were advertised on the site. MrDeepFakes did not respond to requests for comment.
- Company involved
- MrDeepFakes
- AI system involved
- MrDeepFakes
1 source article · read the reporting →
ChatGPT generates error-filled cancer treatment plans, study finds
A study by researchers at Brigham and Women's Hospital found that ChatGPT, developed by OpenAI, generated cancer treatment plans with errors. One-third of the chatbot's responses contained incorrect information, and 12.5% were hallucinated. The study was published in JAMA Oncology and reported by Bloomberg.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
10 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 →
ChatGPT 3.5 misdiagnosed most pediatric cases in study
A study published in JAMA Pediatrics found that ChatGPT version 3.5 provided incorrect diagnoses for 83 out of 100 pediatric case challenges. The chatbot's errors included both completely wrong diagnoses and diagnoses that were too broad. The researchers noted that the chatbot failed to identify relationships such as that between autism and vitamin deficiencies, and suggested that more selective training is needed to improve accuracy.
- Company involved
- OpenAI
- AI system involved
- ChatGPT version 3.5
7 source articles · read the reporting →
PimEyes scraped Ancestry.com for photos of dead people without permission.
PimEyes, a facial recognition search engine, scraped images from Ancestry.com and other websites without authorization, including photos of deceased individuals. The company's algorithms indexed the images to create biometric faceprints, potentially allowing identification of living relatives. Cher Scarlett discovered the scraping after finding photos of her deceased sister on the platform. PimEyes has since blocked Ancestry's domain and is removing the indexes, but privacy concerns remain.
- Company involved
- PimEyes
- AI system involved
- PimEyes
7 source articles · read the reporting →
Frontiers retracts study with AI-generated rat penis images
A study published in the journal Frontiers in Cell Development and Biology was retracted after it was discovered that the authors used the AI tool Midjourney to generate nonsensical images, including a giant rat penis. The journal apologised and said a reviewer's concerns were ignored. The incident highlights issues with AI use in academic publishing.
- AI system involved
- Midjourney
8 source articles · read the reporting →
PimEyes faces fine proceedings over biometric facial recognition in Baden-Württemberg
PimEyes, a facial recognition search engine, is accused of scraping images from the internet and processing biometric data without a valid legal basis under the GDPR. The data protection authority of Baden-Württemberg (LfDI) opened fine proceedings after it found PimEyes's response to its questions inadequate. PimEyes argues that the images it processes are publicly available and not personal data. The LfDI says the processing endangers citizens' rights and freedoms and is not covered by the GDPR exceptions.
- Company involved
- PimEyes
- AI system involved
- PimEyes
9 source articles · read the reporting →
Council Rock student investigated for creating AI deepfakes of classmates
A middle school student in the Council Rock School District allegedly used AI to create pornographic deepfake images of up to 12 underage girls. The incident occurred in March and was reported to Newtown Township police, who are investigating. The student could be prosecuted under a new Pennsylvania law criminalising the distribution of such deepfakes. The school district has declined to comment further.
1 source article · read the reporting →
PimEyes facial recognition search engine identifies individuals from public photos
PimEyes, a Polish facial recognition search engine, allows users to upload a photo and find matching images from across the internet. The system scrapes billions of photos and creates biometric profiles without consent. A banker named Dylan (pseudonym) discovered that an old party photo of him was found by the system, potentially outing his private life. Privacy advocates and platforms like Instagram and YouTube are taking action against PimEyes, alleging violations of the GDPR.
- Company involved
- PimEyes
- AI system involved
- PimEyes
6 source articles · 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 →
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 →
Deepfake adverts using Barbara O'Neill's likeness promote fake prostate cures
AI-generated deepfake videos impersonating Australian naturopath Barbara O'Neill are circulating on Facebook, falsely endorsing a cure for prostate problems and erectile dysfunction. The videos, which have millions of views, are part of a scam to sell products or phish for personal information. Africa Check found the videos to be deepfakes, with audio out of sync and posted by accounts unaffiliated with O'Neill, who has previously warned about such impersonations.
2 source articles · read the reporting →
Security Health Plan used AI to cut off nursing home care for 85-year-old woman
Frances Walter, an 85-year-old woman with a shattered shoulder, had her nursing home care payment cut off by Security Health Plan after an algorithm predicted she would recover in 16.6 days. The algorithm, nH Predict from NaviHealth, did not account for her severe pain and allergy to pain medicine. She was forced to spend her life savings and enroll in Medicaid while fighting the denial. A federal judge later ruled the denial was speculative and she was owed thousands of dollars.
- Company involved
- Security Health Plan
- AI system involved
- nH Predict
1 source article · read the reporting →
AI-generated video falsely shows scientist endorsing heart disease remedy
A Facebook page published an AI-generated video impersonating US-based Nigerian scientist Samuel Achilefu and a TVC News presenter to promote a fake heart disease remedy called Cordis. The video falsely claimed the product could revitalise blood vessels and stabilise blood pressure. Achilefu denied involvement and reported the video to the FBI. AFP Fact Check found the video was created using AI and the product's manufacturer denied producing it.
- Company involved
- Mohammad Al-Hamdan
2 source articles · read the reporting →
Researchers find bias in chest X-ray AI classifiers against women, Hispanic and Medicaid patients
A study by the University of Toronto, Vector Institute, and MIT found that AI classifiers trained on public chest X-ray datasets exhibited racial, gender, and socioeconomic bias. Female patients, Hispanic patients, and those with Medicaid insurance were disproportionately affected, with the classifiers often providing incorrect diagnoses for Medicaid patients. The researchers attributed the bias to imbalanced training data and called for rigorous fairness analyses before clinical deployment.
2 source articles · read the reporting →
NHS faces legal action over Palantir data contract extension
The NHS is being taken to court by campaign group Open Democracy over its contract with data firm Palantir. The legal action alleges that the extension of Palantir's involvement in analysing NHS patient data for pandemic response and beyond lacked a proper Data Protection Impact Assessment. The contract, initially an emergency response, was extended for two years at a cost of £23.5m. The case is pending.
- Company involved
- NHS
- AI system involved
- Palantir data analysis platform
10 source articles · read the reporting →
Hyderabad doctors warn after ChatGPT advice causes patient harm
In Hyderabad, a 30-year-old kidney transplant patient discontinued antibiotics on ChatGPT's advice, losing her transplanted kidney and returning to dialysis. A 62-year-old diabetic man suffered weight loss and low sodium after following a ChatGPT diet plan. Doctors warn that AI tools lack clinical judgment and should not replace professional medical consultation.
- AI system involved
- ChatGPT
5 source articles · read the reporting →
Racial bias in lung test software led to underdiagnosis of Black men, study suggests
A study published in JAMA Network Open found that race-based adjustments in diagnostic software for lung function likely led to underdiagnosis of breathing problems in Black men. Researchers analyzed data from over 2,700 Black men and 5,700 white men at the University of Pennsylvania Health System and concluded that up to 40% more Black men might have been diagnosed if the algorithm were changed. The American Thoracic Society has recommended replacing race-focused adjustments, but changes may take time.
- Company involved
- University of Pennsylvania Health System
2 source articles · read the reporting →
Anthropic's Claude Cowork AI deletes user's 15 years of family photos
A venture capitalist used Anthropic's Claude Cowork AI agent to organise his wife's desktop, granting it permission to delete temporary files. The AI mistakenly deleted a folder containing over 15,000 irreplaceable family photos, bypassing the trash. The user described the experience as harrowing and nearly causing a heart attack. He was able to recover the files with help from Apple Support using an iCloud feature.
- AI system involved
- Claude Cowork
1 source article · read the reporting →
Penn Medicine study: kidney algorithm reduced Black transplant access
For years, a clinical algorithm used for the national kidney transplant waitlist made Black patients appear healthier than they were, making it harder for them to secure transplant spots. In 2019 a Penn Medicine researcher exposed the problem and showed it exacerbated racial disparities. A national taskforce recommended removing race from the algorithm’s scoring, and the change was widely adopted. Penn researchers later found that removing race also reduced chemotherapy access and clinical trial eligibility for Black patients.
- AI system involved
- kidney function algorithm
1 source article · read the reporting →
