Nurse at St. Rose Dominican Hospital Averts AI-Sepsis Alert Error
A nurse at St. Rose Dominican Hospital in Henderson, Nevada, refused to follow an AI-generated sepsis alert that would have given an elderly dialysis patient IV fluids, which could have caused a life-threatening complication. The alert, part of the hospital's electronic system, prompted a charge nurse to order the fluids despite the patient's compromised kidneys. A physician intervened and ordered dopamine instead, averting harm. The incident highlights concerns about AI tools overriding clinical judgment.
- Company involved
- St. Rose Dominican Hospital
1 source article · read the reporting →
AI or Not detector mislabels real war photo as AI-generated
The AI image detection tool AI or Not, made by Optic, incorrectly labeled a photograph of a burnt corpse from the Israel-Gaza war as AI-generated. The image was originally tweeted by Israeli officials and later shared by commentators. Experts, including UC Berkeley professor Hany Farid, confirmed the image is real based on structural consistency and shadows. The false detection contributed to disinformation about the war. Optic did not respond to requests for comment.
- Company involved
- Optic
- AI system involved
- AI or Not
10 source articles · read the reporting →
Texas AG Settles with Pieces Technologies Over Deceptive Healthcare AI Claims
The Texas Attorney General investigated Pieces Technologies, a Dallas-based healthcare AI company, for making false and misleading statements about the accuracy of its generative AI product used in hospitals. The company claimed an error rate of less than 1 per 100,000, but the investigation found these metrics were likely inaccurate. As part of the settlement, Pieces agreed to accurately disclose its product's accuracy and ensure hospital staff understand the appropriate reliance on its AI. The case marks the first-of-its-kind healthcare generative AI investigation by the AG.
- Company involved
- Pieces Technologies
4 source articles · read the reporting →
MIT-IBM Watson AI Lab's AI Portrait Ars produces whitewashed portraits of people of colour
AI Portrait Ars, developed by researchers at the MIT-IBM Watson AI Lab, is reported to have generated Renaissance-style portraits that lightened the skin and altered the facial features of people of colour. The tool, trained on tens of thousands of paintings from the Western artistic tradition, was criticised for reproducing that bias in its data set. The creators acknowledged the bias but did not respond to a request for comment.
- Company involved
- MIT-IBM Watson AI Lab
- AI system involved
- AI Portrait Ars
10 source articles · read the reporting →
NSW Education Standards Authority used AI-generated image in HSC English exam without disclosure
The NSW Education Standards Authority (NESA) used an AI-generated image as a stimulus in the 2024 HSC English exam without disclosing its origin. The image, created by Florian Schroeder using OpenAI's ChatGPT and Dall-E 2, was published on Medium in July 2023. Students suspected AI use due to irregularities in the image, and NESA initially declined to confirm. After the Sydney Morning Herald confirmed the image was AI-generated, NESA stated that students would be marked on their response to the question, not the image's origin.
- Company involved
- NSW Education Standards Authority
- AI system involved
- ChatGPT and Dall-E 2
6 source articles · read the reporting →
UK study finds AI cannot detect COVID-19 from cough sounds
The UK Department of Health and Social Care awarded contracts to Fujitsu to develop a "Cough In A Box" app that would use AI to detect COVID-19 from cough sounds, based on earlier claims of high accuracy. However, a study led by the Alan Turing Institute found that machine learning models could not accurately predict COVID-19 from coughs due to confounding variables. The study concluded that the technology does not work for COVID-19 diagnosis.
- Company involved
- UK Department of Health and Social Care
- AI system involved
- Cough In A Box
10 source articles · read the reporting →
EU to trial AI lie detector at airports in Hungary, Latvia, Greece
The European Union is set to trial an AI-powered lie detector system called iBorderCtrl at airports in Hungary, Latvia and Greece. The system uses a virtual avatar to question passengers and monitors their facial expressions to detect deception. Privacy groups have raised concerns about bias and error rates, noting that the technology has only been tested on 32 people. The trial will require passenger consent and will be overseen by human guards.
- Company involved
- European Union (iBorderCtrl project)
- AI system involved
- iBorderCtrl
6 source articles · read the reporting →
Finnish recruitment company Digital Minds used AI to analyze job applicants' messages, prompting data protection investigation
Digital Minds, a Finnish recruitment company founded by psychologists, used IBM Watson AI to analyze job applicants' social media and email messages for personality assessments. The company obtained written consent but the Finnish Data Protection Ombudsman launched an investigation, suspecting violations of data protection laws and the secrecy of correspondence. The service was used on fewer than ten applicants and has been paused pending the investigation.
- Company involved
- Digital Minds
- AI system involved
- IBM Watson
9 source articles · read the reporting →
AI drug discovery system repurposed to generate toxic molecules in demonstration
In 2020, Collaborations Pharmaceuticals demonstrated that its AI drug discovery system, MegaSyn, could be repurposed to generate toxic molecules similar to the nerve agent VX. The company ran the software overnight and produced 40,000 potentially hazardous substances. The researchers presented their findings at a conference and briefed the White House, warning that such AI systems could be misused to create chemical weapons.
- Company involved
- Collaborations Pharmaceuticals
- AI system involved
- MegaSyn
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 →
Retorio AI personality test swayed by candidate appearance in BR experiment
Bayerischer Rundfunk journalists conducted experiments with Retorio's AI video interview analysis tool. The AI, which assesses personality traits from short videos, produced different scores when the same actress changed her appearance (glasses, headscarf, wig) or the video background and lighting were altered. The start-up Retorio acknowledged that the AI considers external image, similar to a human interviewer. Experts warned that such software could perpetuate stereotypes and unfairly affect job candidates.
- AI system involved
- Retorio AI
10 source articles · read the reporting →
Google's dermatology app underrepresents dark skin tones in training data
Google unveiled a dermatology app that uses deep learning to recognise skin conditions. However, the training data included only 3.5% images from patients with darker skin types, which may lead to inaccurate diagnoses for these groups. Dermatologists have expressed concern that the app could cause false positives or missed diagnoses, and Google has acknowledged the issue while saying it will continue to refine the technology.
- Company involved
- Google
- AI system involved
- AI-powered dermatology assist tool
9 source articles · read the reporting →
ViaQuatro's facial recognition system in São Paulo metro challenged in court
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
- Company involved
- ViaQuatro
- AI system involved
- Digital Interactive Doors System (DID system)
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 →
Hospitals use Epic AI to predict Covid-19 decline without validation
Dozens of hospitals across the US are using Epic's deterioration index AI system to predict which Covid-19 patients will become critically ill, despite the tool not being validated for the new disease. The rapid deployment during the pandemic bypassed normal testing and validation processes.
- AI system involved
- Deterioration index
9 source articles · read the reporting →
Elon Musk asks X users to upload medical data to train Grok chatbot
Elon Musk has told X users to upload medical images to the platform so that the AI chatbot Grok can learn to interpret them. He claimed Grok can give medical diagnoses, sometimes better than doctors, but experts have raised concerns about accuracy and privacy. The article reports cases where Grok misread a tuberculosis case and a mammogram. xAI, which owns X, responded to Fortune: 'Legacy Media Lies.'
- Company involved
- X
- AI system involved
- Grok
6 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 →
Stable Diffusion amplifies racial and gender stereotypes in generated images
An analysis by Bloomberg of over 5,000 images generated by Stability AI's Stable Diffusion found that the text-to-image model amplifies racial and gender stereotypes. The model overrepresented lighter-skinned men in high-paying jobs and darker-skinned people in low-paying jobs, and underrepresented women in positions of power. Stability AI acknowledged the inherent biases in its models and stated it is working on mitigation.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion
8 source articles · read the reporting →
Answer.AI tests Devin and reports 14 failures in 20 tasks
Answer.AI's team tested Devin, an autonomous AI coding assistant, on 20 real-world tasks over a month. Devin succeeded in only 3 tasks, failed 14, and was inconclusive in 3. The team found Devin often produced overly complex or hallucinated solutions and could not recognize fundamental blockers. They ultimately decided to stick with tools that allow more human control.
- AI system involved
- Devin
5 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
NHS plans AI to listen to appointments and generate notes
The UK's National Health Service announced plans to use AI to automatically generate notes from patient appointments. Health Secretary Victoria Atkins said the scheme would reduce admin time. Privacy campaigners raised concerns about data security and accuracy, citing an incident where AI misheard the chief medical officer's name. The Department of Health and Social Care stated that patient confidentiality remains a top priority.
- Company involved
- National Health Service (NHS)
3 source articles · read the reporting →
Queensland police trial AI to predict domestic violence risk
The Queensland Police Service is trialling an AI risk-assessment tool to identify high-risk domestic violence offenders from police records. Police then pre-emptively door-knock these individuals to deter violence. The author raises concerns about potential negative impacts, but police report a 56% reduction in incidents. The AI was developed in-house to increase transparency.
- Company involved
- Queensland Police Service
9 source articles · read the reporting →
AEMPS withdraws AI medicines tool MeQA after detecting errors
AEMPS launched MeQA, an artificial intelligence tool for answering public questions about medicines, on 13 May 2025. Two days later it withdrew the tool after detecting that some responses contained errors. The agency said that most answers were correct but that the errors could affect patient safety, and that it would restore the service as soon as possible.
- Company involved
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS)
- AI system involved
- MeQA
4 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 →
