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.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
68 incidents closest to “CLARA Triage” · matched on meaning · public reporting
The AI system generated hallucinated content that was submitted in a court filing, potentially misleading the court.
1 source article · read the reporting →
The AI generated fabricated case law that was submitted to the court, affecting the legal proceedings.
1 source article · read the reporting →
Dr David Watkins, a consultant oncologist, publicly raised concerns about Babylon Health's symptom triage chatbot, alleging it missed critical conditions such as heart attacks in women. Babylon Health issued a press release attacking Watkins as a 'troll' and manipulating data to discredit his testing. Watkins denies the claims and has filed complaints with the MHRA, which remain pending.
6 source articles · read the reporting →
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.
1 source article · read the reporting →
Security researchers discovered 341 malicious skills on ClawHub, a marketplace for the OpenClaw AI assistant. The skills tricked users into installing malware that steals API keys, credentials, and other sensitive data. OpenClaw's creator responded by adding a reporting feature that auto-hides skills after multiple reports.
4 source articles · read the reporting →
Ernest Quintana, 79, was admitted to Kaiser Permanente Medical Center in Fremont, California, with failing lungs. A doctor appeared on a telepresence robot's video screen and told him he might not make it home. The family was devastated that the news was delivered through a machine rather than in person. Kaiser Permanente issued a statement expressing regret and said it would review its practices.
10 source articles · read the reporting →
The Austrian Public Employment Service (AMS) uses an algorithm to classify job seekers into categories A, B, and C, determining their access to benefits and training. Scientists from TU Wien, WU Wien, and University of Vienna have criticised the algorithm for lacking transparency, as only two of 96 model variants have been published. They allege that the system may discriminate against women and people with migration background, and that job seekers are not informed about how the algorithm works or given a chance to appeal.
10 source articles · read the reporting →
A study of nearly 30,000 patients at University of Michigan hospitals found that Epic Systems' sepsis prediction algorithm missed two-thirds of sepsis cases and frequently issued false alarms. The algorithm, used by over 100 US health systems, is designed to alert staff to potential sepsis, but the study suggests it provides little value and may contribute to alert fatigue. Epic disputed the study's conclusions, claiming its system has helped save lives.
6 source articles · read the reporting →
The Los Angeles Homeless Services Authority uses the VI-SPDAT scoring system to prioritise unhoused people for subsidised permanent housing. An investigation by The Markup found that Black and Latino people consistently receive lower vulnerability scores than White people, leading to lower priority for housing. The agency has acknowledged the racial disparities and is working on a new tool, but continues to use the current system.
10 source articles · read the reporting →
The US National Highway Traffic Safety Administration (NHTSA) has opened an investigation into Tesla's Autopilot system after identifying 11 crashes in which Tesla vehicles collided with first responder vehicles. In each incident, the vehicles were confirmed to have Autopilot or Traffic-Aware Cruise Control engaged. Most crashes occurred after dark and involved scene control measures such as lights, flares, and road cones. NHTSA will assess the system's ability to monitor driver engagement and handle emergency scenes.
10 source articles · read the reporting →
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.
9 source articles · read the reporting →
Google Cloud has announced a partnership with HCA Healthcare to analyze around 32 million patient records. The anonymized data will be used to develop algorithms that could advise doctors on treatment options. Privacy advocates have raised concerns about the data sharing and the potential for AI to re-identify patients. HCA insists that patient-identifiable information will be stripped and that access will be tightly controlled.
9 source articles · read the reporting →
The AI generated false legal citations and quotations in an appellate brief, misleading the court and harming the client's immigration appeal.
1 source article · read the reporting →
A Cruise self-driving car collided with a San Francisco Fire Department truck that was responding to an emergency. The incident occurred on August 17, 2023, in the Tenderloin district. One passenger sustained non-severe injuries and was taken to hospital. Cruise acknowledged the crash and offered support to the rider.
10 source articles · read the reporting →
An NHS computer algorithm that prioritises liver transplant patients most likely to die soon has led to younger patients waiting 156 days longer on average than those over 60. The algorithm, launched in 2018, gives a score based on 21 recipient and seven donor parameters. Patients like Sarah Meredith, 31, have been waiting two years for a transplant. NHS Blood and Transplant defends the system as saving lives but acknowledges the stress on younger patients.
10 source articles · read the reporting →
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.
5 source articles · 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 →
In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.
6 source articles · read the reporting →
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.
10 source articles · read the reporting →
A security researcher discovered that Chattr.ai, an AI hiring system used by many fast food chains, had a Firebase database with insecure security rules. By registering a new user, the researcher gained full read/write access to the database, exposing personal data of job applicants and employees, including names, phone numbers, emails, and some plaintext passwords. The vulnerability was reported to Chattr.ai on 9 January and patched the next day, but the company did not provide further contact or thanks.
6 source articles · read the reporting →
An African American man has filed a lawsuit in federal court alleging that the algorithm used to determine kidney transplant priority is racially biased. The plaintiff, a Los Angeles barber, claims the algorithm puts Black patients lower on the waitlist, denying them timely access to organs. He seeks damages and a higher position on the list.
7 source articles · read the reporting →
The United Network for Organ Sharing (UNOS) implemented a new liver allocation policy in 2020 called the acuity circles system, which prioritizes the sickest patients regardless of location. An analysis by The Markup and The Washington Post found that the policy led to sharp declines in liver transplants in several Southern and Midwestern states and Puerto Rico, while increasing transplants in New York and California. Patients in affected states allege the system disadvantages poorer regions, and hospitals have sued to overturn the policy.
10 source articles · read the reporting →
