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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188 incidents closest to “Registry ScorePLUS” · matched on meaning · public 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 →

Thomson Reuters wins copyright lawsuit against AI startup Ross Intelligence

In 2020, Thomson Reuters filed a copyright lawsuit against legal AI startup Ross Intelligence, alleging that Ross reproduced materials from its Westlaw legal research service. In February 2025, a US District Court judge ruled in Thomson Reuters' favor, finding that Ross infringed copyright and that fair use did not apply. Ross Intelligence had shut down in 2021 due to litigation costs.

Company involved
Ross Intelligence
AI system involved
Ross Intelligence

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-04R0261 Sep 2015

Princeton Review charges higher SAT prep fees to Asian Americans

A ProPublica study found that Princeton Review's geographically-determined pricing system charges Asian American students almost twice as likely as other ethnicities to pay the highest prices for online SAT tutoring. The system sets prices based on location, with higher prices in areas like New York City where Asian Americans are concentrated. Princeton Review stated that prices reflect local costs and competition, but the disparity raises concerns about racial discrimination in automated pricing.

Company involved
Princeton Review

7 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-1YTNE61 Jan 2026

New Records Show Medicare WISeR AI Prior Authorization Model Causing Inappropriate Denials of Care - Medicare Rights Center

The system denied or delayed prior authorization for medical procedures, affecting Medicare beneficiaries in six states.

Company involved
Centers for Medicare & Medicaid Services
AI system involved
WISeR

1 source article · 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 →

WF-7PPBNA4 Mar 2022

Spanish VioGén Algorithm Deems Woman Low Risk Before Fatal Domestic Violence

In January 2022, Lobna Hemid reported her husband's abuse to Spanish police. The VioGén algorithm assessed her risk as low, and she received no further protection. Seven weeks later, her husband fatally stabbed her. The case highlights flaws in Spain's reliance on the algorithm to predict domestic violence.

Company involved
Interior Ministry of Spain
AI system involved
VioGén

2 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 →

WF-CBSEF51 Jan 2017

VA's Suicide Prevention Algorithm Favours Men, Ignores Sexual Trauma

The Department of Veterans Affairs' REACH VET algorithm, designed to identify veterans at high risk of suicide, reportedly prioritises white men and excludes factors like military sexual trauma that disproportionately affect women. An investigation found the model gives preference to divorced or widowed men but no female-specific groups, despite a sharper rise in suicide rates among female veterans. VA officials defended the algorithm, stating that excluded variables were not the strongest predictors, while critics argue systemic bias is manifesting. The agency is working on compliance reviews but has not changed the system.

Company involved
Department of Veterans Affairs
AI system involved
REACH VET

2 source articles · read the reporting →

WF-DC7W6F1 Aug 2022

Hospital Denies Pain Medication to Patient Based on Narx Score

Elizabeth Amirault, a 34-year-old chronic pain patient, was denied narcotic pain medication during a hospital visit in Fort Wayne, Indiana, in August 2022. A nurse practitioner told her that her Narx Score, generated by Bamboo Health's NarxCare platform, was too high to prescribe opioids. The algorithm uses prescription drug monitoring data to assess risk of misuse, but critics say it can harm patients by cutting off needed care. Amirault believes her score was unfairly high due to her multiple surgeries and doctors.

AI system involved
NarxCare

3 source articles · read the reporting →

WF-CPNPFM23 Sep 2026

Where does SpaceXAI rank for air pollution in Shelby County? - WREG.com

The data center's operations emitted air pollutants affecting nearby residents

Company involved
SpaceXAI
AI system involved
Colossus 1

1 source article · read the reporting →

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