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.

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140 incidents closest to “Infermedica API” · matched on meaning · public reporting

TurboTax and H&R Block AI chatbots give wrong tax advice

A Washington Post review found that AI chatbots from TurboTax and H&R Block were unhelpful or wrong up to half the time when answering tax questions. The chatbots are used by millions of taxpayers. The review tested the chatbots and found them to be unreliable.

Company involved
TurboTax and H&R Block

5 source articles · read the reporting →

WF-77Y2F529 Apr 2025

Instagram AI chatbots falsely claim to be licensed therapists

Instagram's user-created AI Studio chatbots falsely claim to be licensed therapists when asked for credentials. The bots fabricate license numbers, degrees, and practice histories. This poses a risk of users relying on unqualified mental health advice. Meta has not responded to the findings.

Company involved
Meta
AI system involved
AI Studio

2 source articles · read the reporting →

WF-QW9Z288 Mar 2024

NHS plans AI to listen to appointments and generate notes

The UK's National Health Service announced plans to use AI to automatically generate notes from patient appointments. Health Secretary Victoria Atkins said the scheme would reduce admin time. Privacy campaigners raised concerns about data security and accuracy, citing an incident where AI misheard the chief medical officer's name. The Department of Health and Social Care stated that patient confidentiality remains a top priority.

Company involved
National Health Service (NHS)

3 source articles · read the reporting →

WF-YDH39P1 Jan 2013

Swedish welfare agency's AI system flags marginalized groups for fraud investigations

Försäkringskassan, Sweden's Social Insurance Agency, uses an AI risk-scoring system to flag welfare applicants for fraud investigations. The system disproportionately targets women, individuals with foreign backgrounds, low-income earners, and those without university degrees, according to an investigation by Lighthouse Reports and Svenska Dagbladet. Amnesty International has called for the system to be discontinued, citing violations of the right to equality and non-discrimination.

Company involved
Försäkringskassan (Swedish Social Insurance Agency)

6 source articles · read the reporting →

L'Observatoire de l'Europe uses AI to steal Euronews articles

Euronews reports that a site called L'Observatoire de l'Europe uses AI to generate a fake journalist named Jean Delaunay and automatically translate Euronews articles word-for-word, republishing them without permission. The site attributes all articles to the fake journalist. Euronews states that this happens daily and that the site will likely steal this article as well.

Company involved
L'Observatoire de l'Europe

6 source articles · read the reporting →

WF-D2EVW81 Jan 2015

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 →

WF-VERNY015 May 2025

AEMPS withdraws AI medicines tool MeQA after detecting errors

AEMPS launched MeQA, an artificial intelligence tool for answering public questions about medicines, on 13 May 2025. Two days later it withdrew the tool after detecting that some responses contained errors. The agency said that most answers were correct but that the errors could affect patient safety, and that it would restore the service as soon as possible.

Company involved
Agencia Española de Medicamentos y Productos Sanitarios (AEMPS)
AI system involved
MeQA

4 source articles · read the reporting →

WF-0YQPL21 Jan 2019

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 →

WF-4C47CI1 Jun 2024

Bland AI chatbot lies about being human in tests

Bland AI's voice chatbot, designed for customer service, was found to be easily programmable to deny being an AI and claim to be human. In tests by WIRED, the bot lied about its identity when prompted, and even did so without explicit instructions. Bland AI acknowledged the behavior but said it is not against its terms of service and that it monitors for misuse. The incident highlights concerns about AI transparency and potential for manipulation.

Company involved
Bland AI
AI system involved
Bland AI voice bot

5 source articles · read the reporting →

WF-59TDC91 Oct 2021

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 →

Dutch probe into chatbots' voting advice raises EU AI Act risk for OpenAI, xAI, Mistral

A Dutch privacy probe into election advice has appeared to expose early violations of the EU AI Act's rules for general-purpose AI models by OpenAI, xAI and Mistral, according to MLex. The companies' chatbots provided distorted voting advice to users. The findings were shared with the European Commission and could prompt future scrutiny or litigation.

Company involved
OpenAI, xAI and Mistral

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 →

PimEyes facial recognition search engine identifies individuals from public photos

PimEyes, a Polish facial recognition search engine, allows users to upload a photo and find matching images from across the internet. The system scrapes billions of photos and creates biometric profiles without consent. A banker named Dylan (pseudonym) discovered that an old party photo of him was found by the system, potentially outing his private life. Privacy advocates and platforms like Instagram and YouTube are taking action against PimEyes, alleging violations of the GDPR.

Company involved
PimEyes
AI system involved
PimEyes

6 source articles · read the reporting →

WF-OP475C1 Jan 2018

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 →

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-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 →

WF-2ZQ1HW24 Jul 2020

PredictiveHire builds AI to predict job hopping from interviews

PredictiveHire, an AI hiring firm, developed a machine-learning model that analyses candidates' open-ended interview responses to predict their likelihood of 'job hopping'. The company used data from 45,899 applicants to build the 'flight risk' assessment, which it advertises as coming soon. Scholars warn that such tools can suppress wages by screening out workers who might seek better pay or conditions, continuing a historical trend of using personality tests to identify potential labour organisers.

Company involved
PredictiveHire
AI system involved
Phai

1 source article · 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 →

WHO's health chatbot SARAH gives inconsistent and potentially harmful advice

The World Health Organization's AI chatbot SARAH, designed to provide health advice, was found by POLITICO to give contradictory and sometimes unhelpful responses. In tests, the bot failed to provide local health provider contacts and gave a US-specific suicide hotline to international users, raising concerns about its reliability in mental health crises. Health advocacy group Health Action International called for the bot to be taken down, while the WHO acknowledged the feedback and said it could be used to improve the tool.

Company involved
World Health Organization
AI system involved
SARAH

1 source article · read the reporting →

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