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-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 →
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 →
Bloomberg test finds racial bias in OpenAI's GPT for resume ranking
Bloomberg News conducted an experiment using GPT-3.5 and GPT-4 to rank equally qualified resumes with names associated with different races and genders. The test found that resumes with names distinct to Black Americans were least likely to be ranked as top candidates, indicating systematic bias. OpenAI responded that businesses can mitigate bias through fine-tuning and that it prohibits using GPT for automated hiring decisions.
- Company involved
- OpenAI
- AI system involved
- GPT-3.5
5 source articles · read the reporting →
State Bar of California admits using AI to develop bar exam questions
The State Bar of California admitted that it used artificial intelligence to develop multiple-choice questions for the February 2025 bar exam. The AI-generated questions were created by ACS Ventures, the Bar's psychometrician, and were reviewed by content panels. Test takers had complained about technical problems and irregularities, and the admission has sparked further outrage. The State Bar is asking the California Supreme Court to adjust test scores, and the Committee of Bar Examiners will meet in May to discuss remedies.
- Company involved
- State Bar of California
7 source articles · read the reporting →
Chicago class action challenges ShotSpotter's discriminatory stop-and-frisk deployments
ShotSpotter, a gunshot detection system used by the Chicago Police Department, generates alerts that lead to police deployments and stop-and-frisk stops. Analyses show over 90% of alerts are unfounded, and the system is deployed only in predominantly Black and Latinx districts. A class-action lawsuit against the City of Chicago alleges the system fuels unconstitutional and discriminatory policing, including false accusations against individuals like Michael Williams.
- Company involved
- City of Chicago
- AI system involved
- ShotSpotter
7 source articles · read the reporting →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
Dutch Ministry of Foreign Affairs used secret algorithm to score visa applicants based on nationality
The Dutch Ministry of Foreign Affairs used a secret algorithm called IOB to score short-stay visa applicants based on nationality, gender, and age. Applicants flagged as high risk were automatically moved to an intensive track with higher rejection rates and delays. The ministry's own data protection officer warned of potential ethnic discrimination, but the system continued to be used. The algorithm has profiled millions of applicants since 2015.
- Company involved
- Ministry of Foreign Affairs
- AI system involved
- IOB
10 source articles · read the reporting →
iBorderCtrl lie detector falsely flagged honest reporter as liar
A journalist testing Europe's iBorderCtrl virtual policeman at the Serbian-Hungarian border gave honest answers but was deemed a liar by the system, scoring 48 out of 100 with four false answers flagged. The Hungarian policeman said the result suggested further checks, though none were carried out. The reporter only learned of the result after filing a data access request under European privacy laws. Experts and transparency activists have criticised the technology as pseudoscientific and potentially discriminatory.
- Company involved
- iBorderCtrl consortium
- AI system involved
- Silent Talker / iBorderCtrl virtual policeman
10 source articles · read the reporting →
Texas uses AI to grade student STAAR test answers
The Texas Education Agency will use an automated scoring engine to grade written answers on the 2023 STAAR tests, replacing thousands of human graders. The system uses natural language processing and will initially score all responses, with a quarter rescored by humans. Educators have expressed concerns about the system's fairness and the potential for errors, especially for creative or non-standard answers.
- Company involved
- Texas Education Agency
- AI system involved
- automated scoring engine
10 source articles · read the reporting →
CJEU rules Dun & Bradstreet must explain automated credit decisions under GDPR
A customer was refused a mobile phone contract because of an automated credit assessment by Dun & Bradstreet Austria. The customer took the case to court, which found that Dun & Bradstreet had infringed the GDPR by failing to provide meaningful information about the logic involved. The CJEU ruled that data controllers must explain automated decisions and that trade secrets cannot automatically override the right of access.
- Company involved
- Dun & Bradstreet Austria GmbH
7 source articles · read the reporting →
DWP algorithm mistakenly flags 200,000 Housing Benefit claimants for fraud review
The UK Department for Work and Pensions (DWP) uses an algorithm to flag Housing Benefit claimants for possible fraud or error. According to a Big Brother Watch investigation, the algorithm has mistakenly flagged 200,000 innocent people, subjecting them to intrusive reviews. Only one in three flagged cases actually had errors, compared to two in three during the pilot. The DWP has spent £4.4 million on these pointless checks.
- Company involved
- Department for Work and Pensions (DWP)
6 source articles · read the reporting →
Virginia courts' use of algorithms raises fairness concerns
The Washington Post considers the use of risk-assessment algorithms in Virginia's courts, which were introduced to make judicial decisions fairer. The analysis finds that the outcomes have been far more complicated than expected, raising concerns about the system's fairness. The algorithms affect potentially many criminal defendants across the state.
- Company involved
- Virginia court system
7 source articles · read the reporting →
CBSE OnMark portal vulnerability exposed student data to Google Gemini
A 19-year-old ethical hacker, Nisarga Adhikary, claimed to have hacked the CBSE's digital evaluation ecosystem, revealing that personal information of students was processed by Google's Gemini in automation scripts. The Central Board of Secondary Education (CBSE) stated on May 31, 2026, that the identified vulnerabilities had been contained and other exploitable weaknesses were being ruled out. The board expressed gratitude to alert citizens and ethical hackers who pointed out the weaknesses. No actual data breach was confirmed, but the incident raised concerns about student privacy.
- Company involved
- Central Board of Secondary Education (CBSE)
- AI system involved
- OnMark
1 source article · read the reporting →
Meta's cross-check program delays removal of violating content for privileged users
The Oversight Board's policy advisory opinion on Meta's cross-check program found that the system grants certain users, such as business partners and celebrities, additional human review before removing violating content, while ordinary users face immediate removal. This unequal treatment allows potentially harmful content to remain on the platform for days, and Meta has failed to track whether the program improves accuracy. The Board made 32 recommendations to address these flaws.
- Company involved
- Meta
- AI system involved
- cross-check program
10 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 →
Mass AI cheating scandal at Yonsei University with hundreds of students using ChatGPT
A large-scale cheating scandal has erupted at Yonsei University, where hundreds of students in a third-year online course are suspected of using AI tools such as ChatGPT to cheat on their midterm exam. The professor discovered signs of misconduct and offered students a chance to confess, with those coming forward receiving a zero but no further penalty. A poll on a student community app indicated that over half of respondents admitted to cheating. The university has not yet established clear guidelines on AI use.
- Company involved
- Yonsei University
- AI system involved
- ChatGPT
6 source articles · read the reporting →
Dutch probation service's OXREC algorithm flawed, leading to incorrect recidivism risk assessments
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.
- Company involved
- Reclassering Nederland
- AI system involved
- OXREC
4 source articles · 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 →
Durham's ShotSpotter fails to detect two deadly shootings
ShotSpotter, a gunshot detection system piloted by the Durham Police Department, failed to detect two fatal shootings in February 2023, as well as a New Year's Day shooting that injured five. The system, which uses sensors and human review to alert police, did not send alerts for these incidents within its three-square-mile coverage area. The company stated it investigated and provided a report to the police, while a city official defended the pilot, noting it is still early in the year-long trial. Community concerns have been raised about increased police presence and potential racial profiling.
- Company involved
- Durham Police Department
- AI system involved
- ShotSpotter
5 source articles · read the reporting →
UK prison risk algorithm may embed racial bias, experts warn
The Ministry of Justice developed a digital tool to categorize prisoners, which experts and advocacy groups warn could automate and embed racism. The tool uses intelligence data that may reflect existing bias, potentially leading to disproportionate categorization of BAME prisoners. The MoJ claims no evidence of discrimination, but critics question the small trial sample and lack of transparency.
- Company involved
- Ministry of Justice
- AI system involved
- Digital prisoner categorisation tool
5 source articles · read the reporting →
TransUnion AI tenant screening denied 75-year-old man apartment due to mistaken littering conviction
Chris Robinson, then 75, applied for a senior living apartment in California. The property manager used an AI screening program from TransUnion, which assigned him a low score based on a mistaken conviction for littering that belonged to a different person with the same name in Texas. Robinson lost the apartment and his application fee. A federal class-action lawsuit against TransUnion moved toward a $11.5 million settlement in 2023.
10 source articles · read the reporting →
Pasco Sheriff's Office used algorithm to target potential future criminals and schoolchildren
The Pasco Sheriff's Office operates an intelligence-led policing programme that uses an algorithm to identify people who might break the law based on criminal histories and social networks. Deputies are sent to the homes of those flagged, even without evidence of a crime, and former deputies allege they were ordered to make targets' lives miserable. The agency also keeps a list of more than 400 schoolchildren predicted to 'fall into a life of crime', built from data such as grades and child welfare records, without informing the children or their parents. Civil liberties groups are considering lawsuits and public advocacy campaigns, and experts have called the programmes 'morally repugnant'.
- Company involved
- Pasco Sheriff's Office
10 source articles · read the reporting →
Xuhui police expand facial recognition surveillance to profile 1.1 million residents
The Xuhui District branch of the Shanghai Municipal Bureau of Public Security is expanding its Intelligent Image Recognition System, adding 2,500 facial recognition cameras and increased computing capacity to build profiles of residents and flag deviations. The project, contracted to US-sanctioned FiberHome, is designed to match each face to files on more than 50 million people. Officials say the system will analyse behaviour patterns and trigger early warnings.
- Company involved
- Shanghai Municipal Bureau of Public Security, Xuhui District Branch
- AI system involved
- Intelligent Image Recognition System
3 source articles · read the reporting →
