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.
140 incidents closest to “Cleerly ISCHEMIA” · matched on meaning · public reporting
Chelmer Valley High School was issued a reprimand by the ICO for failing to complete a Data Protection Impact Assessment before introducing facial recognition technology for cashless catering. The reprimand was issued on 22 July 2024.
7 source articles · read the reporting →
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.
4 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 →
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.
5 source articles · 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 →
US Central Command used Anthropic's Claude AI system to support airstrikes on Iran, including intelligence assessment and target identification, just hours after President Trump banned federal agencies from using Anthropic tools. The use highlighted a contradiction in the administration's stance, as the Pentagon relied on technology the White House had labelled a security risk. Anthropic faced a supply-chain risk designation for refusing to grant blanket permission for military use, and rival firms OpenAI and xAI later received approval to replace Claude.
4 source articles · read the reporting →
In December 2025, a deepfake video manipulated the image and voice of RTK journalist Gëzim Bimbashi to falsely promote a fake cure for joint diseases. The video used the RTK logo to appear credible. Bimbashi denied any involvement, warning that AI-generated disinformation poses a serious risk to public figures. The incident is part of a broader trend of AI-fabricated health scams targeting well-known personalities in Kosovo and Albania.
3 source articles · read the reporting →
A 16-year-old student in Greater Noida died by suicide on 23 December 2025 after school authorities questioned her over suspected use of AI tools during a pre-board exam. Her father alleges that teachers and the principal publicly humiliated her, causing severe emotional distress, and has filed a police complaint for abetment of suicide. The school denies harassment, stating they followed CBSE protocols, and has provided CCTV footage to police. The incident is under investigation.
1 source article · read the reporting →
In March 2025, a finance director at a multinational firm in Singapore authorised a US$499,000 payment during a Zoom call that appeared to include the company's CFO and other executives. The call was a deepfake, with AI-generated likenesses and voices. The fraudsters used the impersonation to request an urgent fund transfer for a purported acquisition. The company later discovered the deception and reported it to Singapore police.
2 source articles · read the reporting →
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.
1 source article · read the reporting →
The Department of Veterans Affairs used an AI tool created by a Department of Government Efficiency employee to identify hundreds of contracts for cancellation. Senators Richard Blumenthal and Angus King have called for the VA Inspector General to investigate the use of AI in these decisions, alleging that the tool used flawed formulas and that the cancellations are harming veterans by cutting services. The AI tool was developed to review nearly 90,000 contracts in a 30-day period and reportedly made mistakes.
8 source articles · read the reporting →
The SEC charged machine-learning startup YouPlus and its CEO Shaukat Shamim with defrauding investors. Shamim allegedly made false statements about the company's revenue and customer numbers, including providing falsified bank statements. The scheme unravelled when Shamim confessed to investors that the company had earned less than $500,000 and had only four paying customers since 2013. The SEC is seeking permanent injunctions, civil penalties, and an officer-and-director bar.
1 source article · read the reporting →
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.
2 source articles · read the reporting →
A deepfake video on Facebook used AI to impersonate Nigerian actor Taiwo Ajai-Lycett and doctor Chinonso Egemba, falsely claiming they endorsed a hypertension cure. The video, viewed over 98,000 times, is entirely fabricated; no such product exists. Africa Check debunked the video, noting the machine-generated voices and lack of any credible reports. The celebrities have previously denied similar fake endorsements.
2 source articles · read the reporting →
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 →
In January 2022, Lobna Hemid reported her husband's abuse to Spanish police. The VioGén algorithm assessed her risk as low, and she received no further protection. Seven weeks later, her husband fatally stabbed her. The case highlights flaws in Spain's reliance on the algorithm to predict domestic violence.
2 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 →
Clive Kabatznik, a Florida investor, was targeted by scammers who used AI-generated voice deepfakes to impersonate him in calls to his Bank of America representative. The fraudsters attempted to trick the banker into transferring money, but the banker became suspicious and hung up. The bank reported the incident to its security team, and it took about 10 days for Mr. Kabatznik to re-establish contact with his banker. The incident highlights the growing threat of voice deepfakes in financial scams.
2 source articles · read the reporting →
Privacy International filed complaints against Clearview AI with five European data protection authorities in May 2021, alleging that the company's scraping of facial images from the web and building a biometric database without consent violates data protection laws. The regulators in the UK, France, Italy, Greece, and Austria have since found Clearview's practices unlawful, imposed fines, and ordered deletion of data. Clearview has appealed the UK fine, and the case is ongoing.
10 source articles · read the reporting →
For years, a clinical algorithm used for the national kidney transplant waitlist made Black patients appear healthier than they were, making it harder for them to secure transplant spots. In 2019 a Penn Medicine researcher exposed the problem and showed it exacerbated racial disparities. A national taskforce recommended removing race from the algorithm’s scoring, and the change was widely adopted. Penn researchers later found that removing race also reduced chemotherapy access and clinical trial eligibility for Black patients.
1 source article · read the reporting →
For years, U.S. transplant hospitals used a race-based version of the eGFR equation to estimate Black patients' kidney function. The adjustment inflated Black patients' readings, delaying their referral to the kidney transplant waitlist and leaving some to die or deteriorate on dialysis. After years of advocacy, the United Network for Organ Sharing prohibited the race-based calculation in 2022 and required transplant programmes to revise affected patients' waiting times.
2 source articles · read the reporting →
Clearview AI has agreed to stop selling its facial recognition database to most private US companies as part of a proposed settlement with the ACLU. The company scraped billions of images from social media without consent to build its database, violating Illinois' Biometric Information Privacy Act. The settlement requires Clearview to delete old facial vectors and allow Illinois residents to opt out. The company can still sell its technology to law enforcement and government agencies.
8 source articles · read the reporting →
The Department of Veterans Affairs' REACH VET algorithm, designed to identify veterans at high risk of suicide, reportedly prioritises white men and excludes factors like military sexual trauma that disproportionately affect women. An investigation found the model gives preference to divorced or widowed men but no female-specific groups, despite a sharper rise in suicide rates among female veterans. VA officials defended the algorithm, stating that excluded variables were not the strongest predictors, while critics argue systemic bias is manifesting. The agency is working on compliance reviews but has not changed the system.
2 source articles · read the reporting →
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.
1 source article · read the reporting →
