Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.
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93 incidents closest to “Clinical Notes” · matched on meaning · public reporting
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
1 source article · read the reporting →
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.
10 source articles · read the reporting →
The AI generated fabricated legal citations that were submitted to the bankruptcy court.
1 source article · read the reporting →
The court granted a motion to dismiss and imposed sanctions on plaintiff's counsel for submitting a brief with AI-hallucinated fake cases.
1 source article · read the reporting →
OpenAI researchers discovered that their CLIP computer vision system can be deceived by handwritten labels placed on objects. The system's multimodal neurons respond to text as well as images, causing it to misidentify objects. The attack, called a typographic attack, is a research finding and not a deployed system. No actual harm occurred.
10 source articles · read the reporting →
The AI generated false legal quotations that were submitted to the court in a legal brief.
1 source article · read the reporting →
The AI system generated legal briefs containing fabricated case citations, which were filed in court, affecting the court and the opposing party.
1 source article · read the reporting →
AI-generated fake legal citations were submitted to the court, affecting the plaintiff's appeal and the defendant's legal costs.
1 source article · read the reporting →
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.
6 source articles · read the reporting →
The article reports that scientists are questioning the reliability of the QCovid risk prediction algorithm used by the NHS to prioritise COVID-19 vaccinations. Due to missing data on weight or ethnicity, the algorithm automatically assigns a high BMI and high-risk ethnicity, leading to young, healthy patients being incorrectly labelled as high risk and called for early vaccination. GPs have identified hundreds of such cases, causing anxiety and potentially delaying vaccinations for more vulnerable individuals. NHS Digital acknowledged the issue and said clinicians can remove patients from the shielding list.
10 source articles · read the reporting →
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.
6 source articles · read the reporting →
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.
10 source articles · read the reporting →
A study presented at the ASHP Midyear Clinical Meeting found that ChatGPT's responses to nearly three-quarters of drug-related questions were incomplete or inaccurate. The AI system also generated fake citations to support some responses. Researchers warned that healthcare professionals and patients should verify ChatGPT's medication information using trusted sources to avoid potential harm.
8 source articles · read the reporting →
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.
4 source articles · read the reporting →
Serco Leisure and associated trusts used facial recognition and fingerprint scanning to monitor employee attendance at 38 leisure facilities. The ICO found they unlawfully processed biometric data of over 2,000 employees. Enforcement notices were issued ordering them to stop.
8 source articles · read the reporting →
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.
3 source articles · read the reporting →
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.
1 source article · read the reporting →
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.
4 source articles · read the reporting →
The AI generated nonexistent legal citations that were included in a court filing, causing the court to strike them from the appellant's brief.
1 source article · read the reporting →
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.
4 source articles · read the reporting →
A psychiatrist discovered that Facebook's 'People You May Know' feature was recommending her patients as friends to each other and to her, despite no apparent connection. One patient saw friend suggestions for older and infirm people he did not know, who were later recognized as the psychiatrist's patients. Another patient saw a fellow patient from the office elevator, revealing their full name and profile. Facebook could not explain the specific cause but suggested phone contact syncing may have been responsible.
2 source articles · read the reporting →
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.
2 source articles · read the reporting →
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.
5 source articles · read the reporting →
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.
2 source articles · read the reporting →
