NHS QCovid algorithm incorrectly labels young patients as high risk, causing vaccine call-up
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.
- Company involved
- NHS
- AI system involved
- QCovid
10 source articles · read the reporting →
DeepSeek exposed user data via open ClickHouse database
Cloud security firm Wiz discovered a ClickHouse database belonging to DeepSeek that was open to the internet without authentication, containing over a million lines of logs with chat histories, secret keys and backend details. Wiz disclosed the breach to DeepSeek, which promptly locked down the database. The incident highlights security risks in rapidly deploying AI services.
- Company involved
- DeepSeek
- AI system involved
- DeepSeek-R1
5 source articles · read the reporting →
DeepSeek-R1 censors 85% of sensitive Chinese political prompts in tests
Promptfoo tested DeepSeek-R1 against a dataset of 1,360 politically sensitive prompts and found that about 85% of them were refused. The refusals followed a standard form aligned with Chinese Communist Party policy. The testing also demonstrated that the censorship could be trivially bypassed using simple jailbreak techniques, such as prompt injection or changing the context.
- Company involved
- DeepSeek
- AI system involved
- DeepSeek-R1
5 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 →
IRCC uses AI triage for Temporary Resident Visa applications
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.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 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 →
UNOS liver allocation policy reduces transplants in poorer states
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.
- Company involved
- United Network for Organ Sharing (UNOS)
- AI system involved
- Acuity circles liver allocation policy
10 source articles · read the reporting →
Study finds LLMs used in up to 16.9% of AI conference peer reviews
According to a new paper on arXiv, researchers have begun using generative AI services to help write peer reviews of machine learning papers submitted to leading AI conferences. The study analysed reviews from ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023 and estimated that between 6.5% and 16.9% of review text may have been substantially modified by large language models. The authors argue that this risks depriving authors of diverse expert feedback and may skew reviews towards AI model biases. They have called for greater transparency about the use of LLMs in peer review.
9 source articles · read the reporting →
Chelmer Valley High School reprimanded for facial recognition DPIA failure
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.
- Company involved
- Chelmer Valley High School
7 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 →
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 →
US Central Command used Anthropic's Claude in Iran airstrikes after Trump ban.
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.
- Company involved
- US Central Command (Centcom)
- AI system involved
- Claude
4 source articles · read the reporting →
AI Deepfake of RTK Journalist Used in Health Scam in Kosovo
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 →
Greater Noida Student Dies After School Alleges AI Cheating
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 →
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 →
Senators demand review of VA's AI-driven contract cancellations
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.
- Company involved
- Department of Veterans Affairs
8 source articles · read the reporting →
SEC charges YouPlus and CEO with defrauding investors
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.
- Company involved
- YouPlus
- AI system involved
- YouPlus machine-learning tool
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 →
AI-generated video falsely promotes hypertension cure using Nigerian celebrities
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 →
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 →
Spanish VioGén Algorithm Deems Woman Low Risk Before Fatal Domestic Violence
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.
- Company involved
- Interior Ministry of Spain
- AI system involved
- VioGén
2 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 →
