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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164 incidents closest to “Registry ScorePLUS” · matched on meaning · public reporting

WF-ID19SZ1 Jan 2012

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 →

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-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-IG5R9T9 Apr 2024

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 →

WF-LG744V1 Jul 2024

Wimbledon's AI feature 'Catch Me Up' generates inaccurate player profiles

Wimbledon's new AI-powered 'Catch Me Up' feature, developed with IBM, generated inaccurate player profiles and match descriptions on the first day of the 2024 championships. The system incorrectly described Emma Raducanu as the British No 1 instead of No 3, and misstated her match wins. It also described a match between Zhang Shuai and Daria Kasatkina as an 'eagerly anticipated encounter between two up-and-coming players,' despite both being established players. The errors were corrected after a user pointed them out on social media, and the All England Club acknowledged the issue, stating the feature would evolve with human checks.

Company involved
All England Club
AI system involved
Catch Me Up

6 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 →

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 →

WF-2PVWQU31 May 2026

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 →

WF-U2Y7Z515 Oct 2025

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 →

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-MJJJVQ1 Jan 2023

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 →

WF-9F92BD14 Nov 2019

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 →

WF-UF6BMA1 Jan 2018

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 →

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 →

WF-HF1YRW1 Sep 2023

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 →

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 →

West Midlands Police test NDAS system to assess crime risk

West Midlands Police are testing a system called the National Data Analytics Solution (NDAS) that analyses police data to assess the risk of individuals committing a crime or becoming a victim. The Home Office has funded the project with millions of pounds, intending to roll it out across England and Wales. Critics warn that the system could reinforce bias against minorities and undermine the presumption of innocence. The police say the technology is designed to support, not replace, officer decision-making and that it is still in early testing.

Company involved
West Midlands Police
AI system involved
National Data Analytics Solution

1 source article · read the reporting →

Facebook exempted Trump and other high-profile users from content enforcement rules.

An internal Facebook program called XCheck granted special treatment to millions of high-profile users, including former President Donald Trump and Senator Elizabeth Warren, exempting them from content enforcement rules. The program, initially for quality control, was expanded to whitelist users deemed newsworthy or PR-risky, with the system failing to enforce rules against them. Internal documents revealed that the program made mistakes, often wrongly taking action against high-profile users. Facebook has attempted to phase out the practice but has struggled.

Company involved
Facebook
AI system involved
XCheck

10 source articles · read the reporting →

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