Ask Delphi AI trained on Reddit posts gave unethical answers including endorsing genocide
Ask Delphi, an AI system designed to answer ethical questions, was trained on Reddit posts and crowdworker judgments. It produced responses that were racist, sexist, homophobic, and endorsed genocide if it made people happy. Researchers updated the system three times and added warnings. Critics argue that teaching AI ethics is fundamentally flawed.
- AI system involved
- Ask Delphi
8 source articles · read the reporting →
DeepSeek's R1 chatbot failed to block any jailbreak prompts in security tests
Security researchers from Cisco and the University of Pennsylvania tested 50 well-known jailbreak prompts against DeepSeek's R1 reasoning model. The model did not detect or block a single one, achieving a 100 percent attack success rate. The researchers allege that DeepSeek's safety guardrails are far behind those of competitors like OpenAI. DeepSeek did not respond to requests for comment.
- Company involved
- DeepSeek
- AI system involved
- DeepSeek R1
3 source articles · read the reporting →
DWP algorithm approved Kickstart gateways with no trading history or based abroad
An FE Week investigation found that the Department for Work and Pensions (DWP) approved dozens of companies as Kickstart gateways through automated due diligence checks using the Cabinet Office Spotlight Tool, although some had little or no trading history or were based abroad. The DWP said gateways were subject to stringent checks and later said human checks were also used. After the findings were shared with the Treasury and the DWP, the department stopped taking gateway applications and scrapped the requirement for small employers to use gateways from 3 February.
- Company involved
- Department for Work and Pensions
- AI system involved
- Cabinet Office Spotlight Tool
3 source articles · read the reporting →
Delhi Police use facial recognition to screen PM Modi rally attendees
Delhi Police used an Automated Facial Recognition System (AFRS) to screen crowds at Prime Minister Narendra Modi's rally on December 22, 2019. The system, originally installed to find missing children, was used to identify possible disruptions. Privacy advocates called the move illegal and unconstitutional, saying it amounts to mass surveillance. Police defended the use, citing credible intelligence about possible disruptions.
- Company involved
- Delhi Police
- AI system involved
- Automated Facial Recognition System (AFRS)
6 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 →
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 →
Vumacam's AI CCTV system flagged 28 black people as suspicious in Johannesburg suburbs
In Johannesburg suburbs, Vumacam's AI-powered CCTV network using iSentry software flagged 28 black individuals as 'suspicious' in a shift report, according to a 2019 article. The system, deployed by private security firms, uses video analytics to detect abnormal behavior and alerts security guards. The article alleges that the system disproportionately targets people of color, reflecting racial bias in a racially divided country.
- Company involved
- Vumacam
- AI system involved
- iSentry
6 source articles · read the reporting →
Microsoft Dynamics 365 Field Service AI singles out workers in performance predictions
A report by Cracked Labs found that Microsoft's Dynamics 365 Field Service software uses AI to generate performance metrics and predict task durations, singling out individual workers. The AI predictions can be influenced by the worker's identity, such as increasing or decreasing estimated duration. Microsoft stated the system is not intended for employment decisions and is not a surveillance tool, but the report raises concerns about potential misuse for worker monitoring.
- Company involved
- Microsoft
- AI system involved
- Dynamics 365 Field Service
6 source articles · read the reporting →
Deloitte software glitches wrongly remove Texans from Medicaid
Advocacy groups filed a complaint with the Federal Trade Commission alleging that Deloitte's eligibility software, TIERS, used by Texas Medicaid, wrongly disenrolled qualified recipients due to glitches. Nearly 1.8 million Texans lost coverage after the pandemic pause ended, with many errors attributed to procedural issues but some linked to system malfunctions. Deloitte denies the claims, while the state says it restored care for at least 90,000 people. The FTC has not yet responded to the complaint.
- Company involved
- Texas Health and Human Services Commission
- AI system involved
- TIERS
6 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 →
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 →
NHTSA investigation PE24016: Unexpected ADS behavior
Waymo's automated driving system exhibited unexpected behavior during driving.
- Company involved
- Waymo
1 source article · read the reporting →
Samsung settles Texas lawsuit over ACR data collection on smart TVs
Samsung has settled a lawsuit with the Texas Attorney General over its Automated Content Recognition (ACR) system on smart TVs. The system collected viewing data from users without informed consent. As part of the settlement, Samsung agreed to stop collecting ACR data from Texans without explicit consent and to rewrite its privacy prompts. Samsung also faces a federal class action in New York over similar allegations.
- Company involved
- Samsung
- AI system involved
- Automated Content Recognition (ACR)
7 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 →
Apple Intelligence generates false BBC news alert about suicide
On 13 December 2024, Apple's new generative AI feature, Apple Intelligence, generated a false news alert attributing it to the BBC, claiming the suicide of Luigi Mangione. The BBC complained to Apple. Reporters Without Borders (RSF) urged Apple to remove the feature, citing risks to reliable journalism.
- Company involved
- Apple
- AI system involved
- Apple Intelligence
7 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 →
Didi fined for over-collecting personal data of users
The Cyberspace Administration of China fined Didi Global Inc. for violating data protection laws. The investigation found that Didi had over-collected personal data from passengers and drivers, including facial recognition, location, and clipboard information, totaling billions of records. The violations began in 2015 and continued until the investigation in 2021. Didi was ordered to pay a penalty and correct its practices.
- Company involved
- 滴滴全球股份有限公司 (Didi Global Inc.)
- AI system involved
- Didi ride-hailing apps
8 source articles · read the reporting →
Duke University MTMC Dataset Used in Authoritarian Surveillance Research
Duke University created and openly distributed the Duke MTMC dataset, containing surveillance footage of approximately 2,000 students and visitors on campus. The dataset was used by numerous organisations, including Chinese military-linked companies like SenseTime and Hikvision, for developing person re-identification and facial recognition technologies. Following an investigation by exposing.ai and the Financial Times, Duke University terminated the dataset in May 2019. The incident highlights the privacy risks of academic datasets being repurposed for mass surveillance without consent.
- Company involved
- Duke University
- AI system involved
- Duke MTMC
1 source article · 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 →
Users jailbreak Luma Labs Dream Machine to generate porn
Users have jailbroken Luma Labs' Dream Machine, an AI video generator, to create explicit videos. The system's safeguards were bypassed to generate pornographic content. The videos are crude but demonstrate the potential for widespread AI-generated porn. Luma Labs' terms of service prohibit such content.
- Company involved
- Luma Labs
- AI system involved
- Dream Machine
3 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 →
Hospitals Use OpenAI’s Whisper Despite Medical Transcription Hallucinations
OpenAI’s Whisper transcription tool is used by over 30,000 medical workers and can insert fabricated text into patient records. Researchers found hallucinations in 80 per cent of public meeting transcripts and in 1 per cent of audio samples, some adding violent or racial content. Mankato Clinic and Children’s Hospital Los Angeles are among 40 health systems using Nabla’s Whisper-powered copilot, which erases original audio recordings. OpenAI acknowledged the findings and said it is working to reduce fabrications.
- Company involved
- Mankato Clinic; Children’s Hospital Los Angeles
- AI system involved
- Whisper
2 source articles · read the reporting →
Hyderabad doctors warn after ChatGPT advice causes patient harm
In Hyderabad, a 30-year-old kidney transplant patient discontinued antibiotics on ChatGPT's advice, losing her transplanted kidney and returning to dialysis. A 62-year-old diabetic man suffered weight loss and low sodium after following a ChatGPT diet plan. Doctors warn that AI tools lack clinical judgment and should not replace professional medical consultation.
- AI system involved
- ChatGPT
5 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 →
