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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68 incidents closest to “Public Sector Solutions Benefit Management” · matched on meaning · public reporting

INSS AI Denies Rural Worker's Pension After Misidentifying Her as a Man

A rural worker in Brazil, Josélia de Brito, had her pension application through the Meu INSS app automatically denied after the AI system misidentified her as a man. The INSS deployed the system to speed up benefit decisions, but experts say it struggles with complex rural cases. The case is cited as evidence that automation may exclude vulnerable people with limited digital access.

Company involved
Instituto Nacional do Seguro Social (INSS)
AI system involved
Meu INSS

4 source articles · read the reporting →

Australian government settles Robodebt class action for $1.7 billion

The Robodebt system, an automated debt recovery system used by Centrelink, calculated welfare debts using averaged income data from the ATO, leading to invalid debts. A class action was filed in November 2019 and settled in November 2020. The settlement provided refunds of over $751 million in invalid debts collected and $112 million in compensation to approximately 400,000 group members. The Australian government also dropped claims for over $1 billion in invalid debts.

Company involved
Australian Government (Centrelink)
AI system involved
Robodebt

10 source articles · read the reporting →

WF-YFC2FF29 Oct 2015

CFPB fines General Information Services for inaccurate background checks

The Consumer Financial Protection Bureau took action against General Information Services and its affiliate e-Background-checks.com for failing to ensure the accuracy of employment background screening reports. The companies allegedly provided inaccurate criminal history information to employers, potentially affecting job applicants' eligibility and causing reputational harm. The CFPB ordered the companies to provide $10.5 million in relief to harmed consumers and pay a $2.5 million penalty.

Company involved
General Information Services

10 source articles · read the reporting →

WF-XHTPKC15 Oct 2024

France: CNAF's discriminatory risk-scoring algorithm must be stopped

Amnesty International and coalition partners filed a complaint with the Council of State against CNAF's risk-scoring algorithm used to detect benefit overpayments. The algorithm assigns risk scores based on criteria that discriminate against vulnerable groups, including those with disabilities, single parents, and low-income households. The complaint alleges the system violates human rights to equality and privacy. The EU AI Act's social scoring ban may apply, but its definition remains unclear.

Company involved
CNAF

2 source articles · read the reporting →

UDR Sued Over Alleged Use of RealPage Algorithm to Set Rents in San Diego

A class action lawsuit alleges that UDR, Inc. used RealPage's YieldStar algorithmic pricing software to set rental rates and occupancy levels for its San Diego properties, in violation of a local ordinance. The suit claims the software relied on nonpublic competitor data, contributing to inflated rents and making housing less affordable. The lawsuit, filed in July 2026, seeks to represent all affected tenants. UDR has previously acknowledged using YieldStar as one tool among others in its decision-making.

Company involved
UDR, Inc.
AI system involved
RealPage YieldStar

1 source article · read the reporting →

WF-89GNUB1 Oct 2018

AMS algorithm lacks transparency and may discriminate against job seekers

The Austrian Public Employment Service (AMS) uses an algorithm to classify job seekers into categories A, B, and C, determining their access to benefits and training. Scientists from TU Wien, WU Wien, and University of Vienna have criticised the algorithm for lacking transparency, as only two of 96 model variants have been published. They allege that the system may discriminate against women and people with migration background, and that job seekers are not informed about how the algorithm works or given a chance to appeal.

Company involved
AMS (Arbeitsmarktservice Österreich)
AI system involved
AMS-Algorithmus

10 source articles · read the reporting →

Banjo's Live Time system overstated capabilities and posed privacy risks for Utah public safety data

The Utah State Auditor reviewed the contract for Banjo's Live Time public safety application. The system was found to lack advertised AI technology and posed security risks due to direct database queries to PSAP databases. Banjo also overstated its capabilities in its response to the RFP. The auditor concluded that personally identifiable information was unlikely accessed but recommended more rigorous vetting and better security practices.

Company involved
Utah Attorney General's Office
AI system involved
Live Time

5 source articles · read the reporting →

WF-YK9Q5P10 Feb 2020

Barclays pilot of Sapience monitoring software causes employee stress

Barclays introduced a pilot of employee monitoring software from Sapience in its product control department at Canary Wharf. The system monitors computer activity and admonishes staff if they are not deemed active enough, recording breaks as "unaccounted activity". Employees reported significant stress and worry about taking breaks. Barclays acknowledged the pilot and said it would listen to feedback.

Company involved
Barclays
AI system involved
Sapience employee monitoring software

10 source articles · read the reporting →

WF-XGIXWV31 Jan 2020

DWP's Universal Credit algorithm causes underpayment and hardship for claimants

The Department for Work and Pensions (DWP) uses an automated means-testing algorithm in its Universal Credit system that miscalculates earnings due to a design flaw, leading to underpayments and fluctuating benefit amounts. Claimants such as Janet R. received payments hundreds of pounds short, forcing them into debt and foodbank use. A Court of Appeal ruling in June 2020 ordered the DWP to fix the flaw, but the department had not yet fully implemented the remedy at the time of writing.

Company involved
Department for Work and Pensions
AI system involved
Universal Credit

10 source articles · read the reporting →

WF-HXS00H1 Jan 2020

Dutch government continued SyRI welfare fraud profiling after ban

The Dutch government deployed the SyRI algorithm to profile welfare recipients in low-income neighborhoods, despite a 2020 court ruling that the system violated EU human rights. The algorithm flagged thousands of parents for fraud based on illegal risk factors such as dual nationality, leading to false accusations, bankruptcy, and trauma. The government has announced an external review of the practices.

Company involved
Ministry of Social Affairs of the Netherlands
AI system involved
SyRI

10 source articles · read the reporting →

UK councils use Covid OneView AI to harvest personal data for risk scoring

UK local authorities are using a system called Covid OneView, developed by data analytics firm Xantura, to harvest millions of personal details from council records. The system uses predictive analytics and AI to assign risk scores to households and individuals, aiming to identify those vulnerable to Covid or likely to break lockdown rules. Privacy campaigners and MPs have criticised the lack of transparency and the extent of data collection, which includes sensitive information such as debt levels, living arrangements, and even notes on unfaithful sex. Xantura and Barking and Dagenham Council have defended the system as compliant with data protection rules and focused on providing support.

Company involved
UK local authorities
AI system involved
Covid OneView

6 source articles · read the reporting →

WF-GP9JON1 Jan 2013

Allstate's proposed retention model charged big spenders more in Maryland

Allstate proposed an auto insurance rate adjustment plan in Maryland using a retention model algorithm that varied premium changes based on existing premiums. The algorithm would have increased rates up to 20% for customers already paying the highest premiums while capping increases at 5% for others, and would have denied meaningful discounts to thousands owed reductions. The Maryland Insurance Administration rejected the plan as discriminatory, but Allstate claims it was withdrawn and has continued proposing similar models elsewhere. The proposal never took effect in Maryland.

Company involved
Allstate Corporation
AI system involved
retention model

9 source articles · read the reporting →

WF-W8NDC11 Jul 2015

New York City's McKinsey-led jail violence program manipulated data, violence increased

New York City paid McKinsey & Company $27.5 million to reduce violence at Rikers Island jail complex. McKinsey designed a predictive algorithm called the Housing Unit Balancer and Restart housing units, but jail officials and McKinsey consultants stacked the units with compliant inmates to artificially lower violence numbers. Violence actually increased by nearly 50% during the project. The city eventually decided to close Rikers.

Company involved
New York City Department of Correction
AI system involved
Housing Unit Balancer (HUB)

10 source articles · read the reporting →

WF-BX55BU1 Mar 2022

Serbia's Social Card law could harm marginalized groups

Serbia's Social Card law, which entered into force on 1 March 2022, establishes a centralized government database to assess eligibility for social security support. Amnesty International and seven other rights organizations submitted a legal opinion to the Constitutional Court, alleging that the automated system is an intrusive surveillance system that could discriminate against Roma communities and people with disabilities. The system processes 130 categories of personal data and lacks transparency, potentially leading to errors and denial of benefits.

Company involved
Serbian government
AI system involved
Social Card system

10 source articles · read the reporting →

WF-SWP73K1 Apr 2023

USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers

The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.

Company involved
United States Postal Service
AI system involved
RRECS

9 source articles · read the reporting →

University of Chicago report finds US healthcare algorithms rife with bias

A University of Chicago report alleges that algorithms used by hospitals, insurers and other businesses across the US are biased along racial and economic lines. The algorithms help triage patients, predict diabetes and flag those needing extra care, but the report says flawed products were introduced with little oversight. It says inequitable treatment has continued for more than a decade.

7 source articles · read the reporting →

WF-QSFASR1 Jan 2019

Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions

Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.

Company involved
Udbetaling Danmark

10 source articles · read the reporting →

WF-UHO4KG31 Aug 2021

Met Police buys £3m retrospective facial recognition system

The Metropolitan Police Service (MPS) has awarded a £3 million, four-year contract to Northgate Public Services for a new retrospective facial-recognition (RFR) system to be deployed within three months. RFR processes biometric information from historic CCTV, social media, and other images to identify suspects and missing persons, operating retroactively unlike live facial recognition. The procurement was approved by the Mayor's Office for Policing and Crime in August 2021. The MPS states that human-in-the-loop decision-making will be used, but digital rights groups and a former biometrics commissioner have raised concerns about potential discrimination, overrepresentation of marginalised groups in watch lists, and lack of a legislative framework.

Company involved
Metropolitan Police Service
AI system involved
Retrospective facial-recognition software

9 source articles · read the reporting →

WF-U4WH351 Jun 2020

ScaleFactor reportedly failed to deliver promised automated bookkeeping software

ScaleFactor, an Austin-based startup, is reported to have failed to deliver the automated, real-time bookkeeping tools it promised customers, instead relying on human bookkeepers and a Filipino contract accounting firm. The company told Forbes in June that it was shutting down, initially blaming the pandemic, but Forbes later reported that its problems predated Covid-19. Investors reportedly came to see the company as more of a services business than a software platform, and pulled funding after a pivot to a marketplace model. No legal or regulatory action is reported.

Company involved
ScaleFactor

10 source articles · read the reporting →

WF-S574X31 Jan 2019

Spanish Supreme Court orders release of BOSCO algorithm code for social electricity bonus

The Spanish NGO Civio won a Supreme Court case forcing the government to release the source code of BOSCO, the algorithm that decides eligibility for the social electricity bonus (bono social eléctrico). Civio had demonstrated in 2019 that BOSCO contained serious errors that denied the benefit to vulnerable people who met the requirements. The government had refused to disclose the code, citing intellectual property. The Supreme Court ruled that transparency must prevail, setting a precedent for public access to automated decision-making systems.

Company involved
Ministerio para la Transición Ecológica (Gobierno de España)
AI system involved
BOSCO

10 source articles · read the reporting →

WF-R2SNAZ1 Jan 2013

UnitedHealth used ALERT algorithm to limit mental health coverage, regulators found

ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.

Company involved
UnitedHealth Group
AI system involved
ALERT

5 source articles · read the reporting →

WF-LN1XAB1 Jan 2021

California EDD's automated fraud detection wrongly suspended 600,000 legitimate unemployment claims

In January 2021, the California Employment Development Department used Thompson Reuters automated batch review software to flag 1.1 million unemployment claims as potentially fraudulent. EDD stopped payments on those claims without prior notice. Later, over 600,000 were confirmed as legitimate after claimants used ID.me to verify their identity. The incident highlights the trade-off between fraud prevention and timely benefit access.

Company involved
California Employment Development Department (EDD)
AI system involved
Thompson Reuters Automated Batch Review

7 source articles · read the reporting →

WF-MQA6MW1 Mar 2022

Haryana government's algorithm wrongly declares thousands dead, stops pensions

The Haryana state government's Family Identity Data Repository (PPP) algorithm wrongly declared thousands of elderly and widowed citizens as dead, stopping their pensions. Dhuli Chand, a 102-year-old man, had to stage a mock wedding procession to prove he was alive after his pension was cut for six months. The government acknowledged the errors and corrected some records, but many still face difficulties.

Company involved
Haryana state government
AI system involved
Family Identity Data Repository (Parivar Pehchan Patra or PPP)

6 source articles · read the reporting →

Serco Leisure issued enforcement notices for unlawful biometric monitoring of employees

Serco Leisure and associated trusts used facial recognition and fingerprint scanning to monitor employee attendance at 38 leisure facilities. The ICO found they unlawfully processed biometric data of over 2,000 employees. Enforcement notices were issued ordering them to stop.

Company involved
Serco Leisure Operating Limited

8 source articles · read the reporting →

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