Tesla's FSD reportedly engaged during fatal Illinois crash -- Electrek (TSLA:NASDAQ) - Seeking Alpha
Vehicle control and navigation decisions affecting a driver and potentially other road users
- Company involved
- Tesla
- AI system involved
- FSD
1 source article · read the reporting →
EPA investigating noise complaints at Dublin data centre
Ireland's Environmental Protection Agency opened an investigation after residents complained of a persistent humming, mostly at night, from the new Echelon DUB10 data centre in Clondalkin, west Dublin, from late July 2026. Residents up to 2 km away report lost sleep, and one living 500 metres away logged start-up noise every few minutes after midnight; others filmed thick black smoke from generator chimneys. The operator says it has applied mitigation and is investigating.
- Company involved
- Echelon Data Centres
- AI system involved
- DUB10 data centre
2 source articles · read the reporting →
Fatal Tesla Crash: Company Confirms Autopilot/FSD Were Active
Incidente mortale in Tesla, l'azienda: "Autopilot/FSD attivi". È stata colpa dell'auto? - Everyeye Auto
Tesla confirmed to NHTSA that driver-assistance systems were engaged during a fatal crash in Texas in May 2026. The vehicle was traveling at approximately 167 km/h on an urban road. Police consider a medical emergency the most likely cause.
- Company involved
- Tesla
- AI system involved
- Autopilot/FSD
1 source article · read the reporting →
Acclarent's AI-Powered Surgery Tool Allegedly Injures Patients, Lawsuits Claim
Two patients allege that Acclarent's TruDi Navigation System, which uses AI to confirm device positioning during sinus surgery, misled surgeons and caused severe injuries including strokes. The FDA has received over 100 reports of malfunctions and at least ten injuries since AI was added. Lawsuits claim the company rushed the technology to market with only 80% accuracy, making the device less safe than before. Acclarent denies any causal connection, and the cases are ongoing.
- Company involved
- Acclarent
- AI system involved
- TruDi Navigation System
2 source articles · read the reporting →
TRT-RS's Galileu AI Detects Prompt Injection Attempt in Legal Petition
The Galileu AI system, developed by the Tribunal Regional do Trabalho da 4ª Região (TRT-RS) and nationalised by the Conselho Superior da Justiça do Trabalho (CSJT), detected a prompt injection attempt in a petition filed at the 3rd Labour Court of Parauapebas, Pará. The system alerted the magistrate, who reviewed the content and made a decision based on human verification, in line with judicial AI supervision requirements. The court reported that the system prevented the malicious content from being processed and highlighted the importance of institutional AI tools with security measures.
- Company involved
- Tribunal Regional do Trabalho da 4ª Região
- AI system involved
- Galileu
1 source article · read the reporting →
Acclarent's AI-Powered Surgery Tool Allegedly Injures Patients, Lawsuits Claim
The TruDi Navigation System by Acclarent, which uses AI to confirm device positions during sinus surgery, has been linked to at least ten patient injuries including strokes, according to FDA reports and two lawsuits. Plaintiffs Erin Ralph and Donna Fernihough allege that the AI was inaccurate and misled surgeons, causing carotid artery damage and strokes in 2022. Acclarent denies the allegations, stating there is no credible evidence of a causal connection. The lawsuits are ongoing.
- Company involved
- Acclarent
- AI system involved
- TruDi Navigation System
2 source articles · read the reporting →
Physicians and students push to remove race from kidney function test eGFR
The eGFR kidney test, which estimates kidney function, has historically included race as a factor based on the assumption that Black people have higher muscle mass. This can overestimate kidney function in Black patients, potentially delaying treatment and transplant listing. Medical students and physicians have petitioned hospitals to stop using race, and some institutions have already changed their protocols. The National Kidney Foundation and American Society of Nephrology announced a task force to evaluate the use of race in the test.
- AI system involved
- estimated glomerular filtration rate (eGFR) test
3 source articles · read the reporting →
Royal Free London publishes audit into Streams app data processing
The Royal Free London NHS Foundation Trust published an audit into its use of the Streams app, following an investigation by the Information Commissioner's Office (ICO) in July 2017. The Streams app alerts clinicians to patients at risk of acute kidney injury. The audit, conducted by Linklaters, concluded that the trust's use of Streams was lawful and complied with data protection laws, although areas for improvement were identified. The ICO later recognised that the trust had completed all required actions.
- Company involved
- Royal Free London NHS Foundation Trust
- AI system involved
- Streams
10 source articles · read the reporting →
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 →
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 →
EEOC sues iTutorGroup for automated rejection of older tutor applicants
The US Equal Employment Opportunity Commission (EEOC) alleges that tutoring provider iTutorGroup programmed its recruitment software automatically to reject female applicants aged 55 or older and male applicants aged 60 or older. More than 200 qualified US-based applicants were denied work in 2020. The EEOC has filed a lawsuit in the Eastern District of New York seeking back pay and damages.
- Company involved
- iTutorGroup
10 source articles · read the reporting →
Kaiser Permanente doctor delivers terminal diagnosis via robot video screen
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.
- Company involved
- Kaiser Permanente
10 source articles · read the reporting →
Epic sepsis prediction algorithm misses two-thirds of cases, study finds
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.
- Company involved
- Epic Systems
- AI system involved
- Epic sepsis prediction model
6 source articles · read the reporting →
Tesla Autopilot tricked into speeding by electrical tape on sign
Researchers from McAfee Labs demonstrated that a two-inch piece of black electrical tape stuck on a 35 mph speed limit sign can cause the Traffic Aware Cruise Control in older Tesla Model S and X vehicles to misread the sign as 85 mph and automatically accelerate. The vulnerability affects vehicles using the MobilEye EyeQ3 camera system (Hardware Pack 1). The driver can override by braking. Tesla and MobilEye were informed but did not commit to fixing the issue.
- Company involved
- Tesla
- AI system involved
- Tesla Autopilot (Hardware Pack 1 with MobilEye EyeQ3)
8 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 →
TOV Realty, LLC v. Suarez; Kosel Equity, LLC v. MacGregor (SC Connecticut): AI-hallucinated content in court filing, 6 hours CLE;…
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
- Company involved
- GLG Law LLC
- AI system involved
- ChatGPT
1 source article · 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 →
NHS liver transplant algorithm causes longer waits for younger patients
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.
- Company involved
- NHS Blood and Transplant
10 source articles · read the reporting →
EviCore denied heart catheterization for patient using algorithm
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.
- Company involved
- EviCore (a Cigna company)
- AI system involved
- the dial
6 source articles · read the reporting →
Cigna StressWaves Test found unreliable and invalid in independent study
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.
- Company involved
- Cigna
- AI system involved
- Cigna StressWaves Test
4 source articles · read the reporting →
Apple Watch algorithm changes raise research data concerns
Harvard biostatistician JP Onnela found that heart rate variability data exported from an Apple Watch at two different times showed inconsistencies for the same time period, suggesting Apple's algorithms change without warning. The discovery led Onnela's team to abandon plans to use Apple Watches in research studies. Apple said changes to its algorithms only apply to data going forward and did not explain the discrepancy.
- Company involved
- Apple
- AI system involved
- Apple Watch
6 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 →
Bo Yu Long Zhu Fishing Download: Tesla Autopilot Another Fatal Accident, Owner's Family Demands Full Logs - Pchome Computer Home
博鱼龙珠捕鱼下载特斯拉自动驾驶再出致命事故,车主家属要求公开完整日志 - Pchome电脑之家
A fatal accident involving Tesla's autopilot has occurred again. The family of the car owner is demanding that the complete logs be released.
- Company involved
- Tesla
- AI system involved
- Autopilot
1 source article · 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 →