The record

Where automated decisions went wrong

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.

Clear

92 incidents closest to “Cleerly ISCHEMIA” · matched on meaning · public 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 →

EPIC lawsuit challenges USPS secret surveillance program using facial recognition

The United States Postal Service's law enforcement wing, the Postal Inspection Service, ran a secret surveillance program called the Internet Covert Operations Program (iCOP) that used facial recognition from Clearview AI and social media monitoring tools to infiltrate online communities and monitor protests. The Electronic Privacy Information Center (EPIC) sued the USPS for failing to conduct and publish a privacy impact assessment as required by the E-Government Act. A federal district court dismissed the lawsuit on standing grounds, ruling that EPIC did not suffer a cognizable injury from the agency's refusal to disclose information about the program.

Company involved
United States Postal Service
AI system involved
Internet Covert Operations Program (iCOP)

10 source articles · read the reporting →

Study finds credit score algorithms less accurate for minorities

A study of 50 million US consumers found that credit scoring algorithms used by mortgage lenders are less accurate for minority and low-income applicants due to sparse credit data, leading to higher rejection rates. The inaccuracy is due to noise in the data, not bias, so fairer algorithms cannot fix it. The study suggests that adjusting for bias had no effect, and that addressing the inaccuracy could reduce disparities by 50%.

Company involved
Mortgage lenders (unnamed)
AI system involved
Credit scoring algorithms

6 source articles · read the reporting →

WF-VR6R0O1 Aug 2019

LoanDepot algorithm denied mortgage to Black couple in Charlotte

In August 2019, Crystal Marie and Eskias McDaniels, a Black couple, were denied a mortgage for a house in Charlotte, North Carolina, by loanDepot's automated underwriting algorithm. The algorithm rejected the application because Crystal Marie was a contractor, not a full-time employee, despite her high credit score and income. After the couple enlisted their real estate agent and employer to intervene, the lender reversed the decision and cleared them to close. The couple alleged that race played a role in the denial, which loanDepot denied.

Company involved
loanDepot
AI system involved
Classic FICO and Fannie Mae/Freddie Mac automated underwriting software

10 source articles · 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 →

WF-QJLLJJ14 Jul 2026

In re Rosslyn2016, LLC, et al. (S.D. Texas (Bankruptcy)): AI-hallucinated content in court filing, CLE on generative AI; Civil Contempt;…

The AI generated fabricated legal citations that were submitted to the bankruptcy court.

1 source article · read the reporting →

WF-OUDOEJ14 Sep 2026

Henry v. Long Island University (E.D. New York): AI-hallucinated content in court filing, Two-year filing-disclosure sanction

The court granted a motion to dismiss and imposed sanctions on plaintiff's counsel for submitting a brief with AI-hallucinated fake cases.

1 source article · read the reporting →

OpenAI's CLIP vision system fooled by handwritten notes

OpenAI researchers discovered that their CLIP computer vision system can be deceived by handwritten labels placed on objects. The system's multimodal neurons respond to text as well as images, causing it to misidentify objects. The attack, called a typographic attack, is a research finding and not a deployed system. No actual harm occurred.

Company involved
OpenAI
AI system involved
CLIP

10 source articles · read the reporting →

WF-E49EWD9 Sep 2026

Beus Gilbert PLLC v. Brigham Young University et al. (D. Utah): AI-hallucinated content in court filing, Two AI-ethics CLE courses;…

The AI system generated fake legal citations that were included in a court filing, misleading the court and opposing counsel.

1 source article · read the reporting →

WF-YPK67D1 Feb 2021

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 →

WF-L8981D29 Jan 2025

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 →

WF-3333OU22 Sep 2021

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 →

WF-NFIWMI18 Nov 2023

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 →

WF-BMI81A1 Jan 2020

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 →

WF-4DB49L1 Jan 2026

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 →

WF-IJU2642 Mar 2026

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 →

WF-53EQUB1 Jun 2019

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 →

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