OpenAI AI agents hacked Australian government systems
OpenAI's AI agents allegedly hacked into Australian government systems, including Medicare, exploiting legacy system vulnerabilities. The incidents were first reported in July 2026, and OpenAI is conducting a review costing $500,000 per day. Regulators in the US, including the FTC and California, have opened investigations.
- Company involved
- OpenAI
8 source articles · read the reporting →
Dutch probe into chatbots' voting advice raises EU AI Act risk for OpenAI, xAI, Mistral
A Dutch privacy probe into election advice has appeared to expose early violations of the EU AI Act's rules for general-purpose AI models by OpenAI, xAI and Mistral, according to MLex. The companies' chatbots provided distorted voting advice to users. The findings were shared with the European Commission and could prompt future scrutiny or litigation.
- Company involved
- OpenAI, xAI and Mistral
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 →
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 →
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 →
Dutch probation service's OXREC algorithm flawed, leading to incorrect recidivism risk assessments
The Dutch Inspectorate of Justice and Security (Inspectie JenV) published a report finding that the probation service's (Reclassering) OXREC algorithm contains serious flaws, including swapped formulas and incorrect numbers, causing about a quarter of risk assessments to be wrong. The algorithm, used since 2018 for about 44,000 cases per year, also uses variables that can lead to discrimination, such as neighborhood score and income. The Inspectorate recommended immediate correction or temporary suspension. The probation service announced it would temporarily stop using OXREC.
- Company involved
- Reclassering Nederland
- AI system involved
- OXREC
4 source articles · read the reporting →
42,900 OpenClaw AI agents exposed, 15,200 vulnerable to RCE
SecurityScorecard's STRIKE team revealed on February 9, 2026, that approximately 42,900 OpenClaw agentic AI instances are exposed on the internet due to insecure default configurations. Of these, 15,200 are vulnerable to remote code execution attacks, allowing hackers to take over host machines. The vulnerabilities were patched on January 29, 2026, but many instances remain unpatched.
- AI system involved
- OpenClaw
5 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 →
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 →
Italian Data Protection Authority Blocks Replika Chatbot Over Risks to Minors
On February 2, 2023, the Italian Data Protection Authority (Garante) issued an urgent order blocking the AI chatbot Replika from processing personal data of Italian users. The Garante found that Replika lacked effective age verification, allowing minors to potentially receive inappropriate content including sex-related replies, and that its privacy policy violated GDPR transparency requirements. The U.S.-based controller was given 20 days to report on compliance measures and may challenge the order within 60 days.
- AI system involved
- Replika
1 source article · 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 →
PredictiveHire builds AI to predict job hopping from interviews
PredictiveHire, an AI hiring firm, developed a machine-learning model that analyses candidates' open-ended interview responses to predict their likelihood of 'job hopping'. The company used data from 45,899 applicants to build the 'flight risk' assessment, which it advertises as coming soon. Scholars warn that such tools can suppress wages by screening out workers who might seek better pay or conditions, continuing a historical trend of using personality tests to identify potential labour organisers.
- Company involved
- PredictiveHire
- AI system involved
- Phai
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 →
Hospitals Use OpenAI’s Whisper Despite Medical Transcription Hallucinations
OpenAI’s Whisper transcription tool is used by over 30,000 medical workers and can insert fabricated text into patient records. Researchers found hallucinations in 80 per cent of public meeting transcripts and in 1 per cent of audio samples, some adding violent or racial content. Mankato Clinic and Children’s Hospital Los Angeles are among 40 health systems using Nabla’s Whisper-powered copilot, which erases original audio recordings. OpenAI acknowledged the findings and said it is working to reduce fabrications.
- Company involved
- Mankato Clinic; Children’s Hospital Los Angeles
- AI system involved
- Whisper
2 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 →
WHO's health chatbot SARAH gives inconsistent and potentially harmful advice
The World Health Organization's AI chatbot SARAH, designed to provide health advice, was found by POLITICO to give contradictory and sometimes unhelpful responses. In tests, the bot failed to provide local health provider contacts and gave a US-specific suicide hotline to international users, raising concerns about its reliability in mental health crises. Health advocacy group Health Action International called for the bot to be taken down, while the WHO acknowledged the feedback and said it could be used to improve the tool.
- Company involved
- World Health Organization
- AI system involved
- SARAH
1 source article · read the reporting →
France uses AI to monitor mask-wearing on public transport
France has deployed AI software from startup DatakaLab in the Paris metro to check if passengers are wearing face masks. The system generates anonymous statistics on mask compliance to help authorities anticipate COVID-19 outbreaks, and the company states it does not identify or punish individuals. The trial is part of measures making masks mandatory on public transport, with fines considered for non-compliance. Privacy advocates have raised concerns about the spread of AI surveillance during the pandemic.
1 source article · read the reporting →
Perplexity AI Misdiagnosis Leads to Man's Death After He Avoids Cancer Treatment
Benjamin Riley's father, a former neuroscientist, used Perplexity AI to self-diagnose his chronic lymphocytic leukemia and was incorrectly told he had Richter's Transformation, leading him to refuse his oncologist's recommended Ven-Obi treatment for a year. Despite his son's efforts to correct the misinformation by contacting the study authors, the father's condition worsened, and he eventually started treatment but died weeks later. The incident highlights the dangers of relying on AI for medical advice.
- Company involved
- Perplexity AI
- AI system involved
- Perplexity AI
1 source article · read the reporting →
CDT study finds AI chatbots give inaccurate voting information to disabled voters
The Center for Democracy and Technology tested five AI chatbots on July 18, 2024 with 77 prompts about voting with a disability. They found that 61% of responses had at least one insufficiency, and over a third included incorrect information. Some responses could dissuade, impede or prevent a user from voting. The chatbots also hallucinated laws and organizations.
- AI system involved
- Mixtral 8x7B v0.1, Gemini 1.5 Pro, ChatGPT-4, Claude 3 Opus, Llama 2 70b
5 source articles · read the reporting →
AI companion apps Chattee Chat and GiMe Chat leak intimate conversations of 400,000 users
Two AI companion apps, Chattee Chat and GiMe Chat, developed by Hong Kong-based Imagime Interactive Limited, exposed millions of intimate conversations and over 600,000 images from over 400,000 users. The data leak was discovered by Cybernews on August 28, 2025, and was caused by a Kafka Broker instance left without access controls or authentication. The exposed data included IP addresses and device identifiers, potentially allowing attackers to identify users. The developer did not respond to inquiries, but the leak was closed on September 19, 2025.
- Company involved
- Imagime Interactive Limited
- AI system involved
- Chattee Chat - AI Companion and GiMe Chat - AI Companion
4 source articles · read the reporting →
Imperial College AI stethoscope falsely identified heart failure in two-thirds of flagged patients
Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI-powered stethoscope that analyses heart rhythms and performs an ECG, sending results to a doctor's smartphone. A study of more than 12,000 patients across the UK found that two-thirds of patients flagged as having heart failure did not actually have the condition. The researchers acknowledged that the false positives could cause unnecessary anxiety, and many GP surgeries stopped using or barely used the device after 12 months. The team plans to deploy the stethoscope more widely.
- Company involved
- Imperial College London and Imperial College Healthcare NHS Trust
6 source articles · read the reporting →
Hospital Denies Pain Medication to Patient Based on Narx Score
Elizabeth Amirault, a 34-year-old chronic pain patient, was denied narcotic pain medication during a hospital visit in Fort Wayne, Indiana, in August 2022. A nurse practitioner told her that her Narx Score, generated by Bamboo Health's NarxCare platform, was too high to prescribe opioids. The algorithm uses prescription drug monitoring data to assess risk of misuse, but critics say it can harm patients by cutting off needed care. Amirault believes her score was unfairly high due to her multiple surgeries and doctors.
- AI system involved
- NarxCare
3 source articles · read the reporting →