$3.75M HireVue Illinois BIPA class action settlement - Top Class Actions
Collected voice and facial biometrics from job applicants during video interviews without consent
- Company involved
- HireVue Inc.
- AI system involved
- HireVue
1 source article · read the reporting →
AI weeds out older and minority job applicants, lawsuit against Workday claims
Job applicants were automatically screened out by AI, allegedly discriminating against older, minority, and disabled applicants.
- Company involved
- Workday
- AI system involved
- Workday AI recruiting tools
1 source article · read the reporting →
Illinois job applicants may get about $150 from HireVue biometric privacy settlement - The Cool Down
Job applicants were subjected to biometric data collection during video interviews without proper consent.
- Company involved
- HireVue
- AI system involved
- HireVue
1 source article · read the reporting →
Black Job Seekers Seek Class Action Against Workday - BIN: Black Information Network
Workday's AI hiring tools screened and rejected job applications from Derek Mobley and other Black applicants, women, people over 40, and people with disabilities.
- Company involved
- Workday
- AI system involved
- Workday Recruiting
1 source article · read the reporting →
Cigna uses algorithm to deny medical claims without doctor review
Cigna, one of the largest health insurers, used an algorithm called PXDX to automatically deny medical claims. The system flagged mismatches between diagnoses and procedures, and company doctors signed off on denials in batches without reviewing patient files. One patient, Nick van Terheyden, was denied coverage for a $350 vitamin D test that his doctor had ordered. Former employees said the system saved Cigna billions of dollars but left patients with unexpected bills.
- Company involved
- Cigna
- AI system involved
- PXDX
10 source articles · read the reporting →
Resume prompt injection tricks AI hiring - moneywise.com
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
Nate misrepresented AI shopping app, used human workers instead
Nate, a startup that claimed to use AI to auto-fill customer information for purchases, actually used human workers in the Philippines to manually complete transactions for 60-100% of orders throughout 2021, according to an investigation by The Information. The company denied the claims, calling them baseless. No harm to users was reported.
- Company involved
- Nate
- AI system involved
- Nate app
8 source articles · read the reporting →
Linda, 37, Profiled by the Employment Agency’s AI: ‘Degrading’
Linda, 37, profilerad av Arbetsförmedlingens AI: ”Nedvärderande” - Aftonbladet
Linda Hellman, 37, was profiled by the Swedish Public Employment Service’s AI tool without her knowledge. She felt the experience was degrading and criticized the tool as misleading and unreliable. She has been unemployed for nearly a year and is part of the ‘Rusta och matcha’ program, but has not found a job despite applying for an average of 28 jobs per month.
- Company involved
- Arbetsförmedlingen
- AI system involved
- Arbetsförmedlingens statistiska bedömningsstöd
1 source article · read the reporting →
SafeRent Settles Class Action Over Tenant Screening for Voucher Holders
Mary Louis and Monica Douglas filed a class action lawsuit in 2022 alleging that SafeRent Solutions' SafeRent Score product discriminated against rental applicants in Massachusetts who held public housing vouchers, violating fair housing and consumer protection laws. SafeRent denied wrongdoing. The court approved a settlement in November 2024, and payments were distributed to eligible class members in 2025 and 2026.
- Company involved
- SafeRent Solutions, LLC
- AI system involved
- SafeRent Score
5 source articles · read the reporting →
How Your Shadow Credit Score Could Decide Whether You Get an Apartment - ProPublica
Tenant screening companies assign renters a score drawn from data far wider than credit history, an industry subject to less regulation than credit scoring agencies. ProPublica reports that experts warn these algorithms can decide who gets an apartment on the basis of information applicants cannot see or correct. Kim Fuller was denied a rental application on such a score.
- Company involved
- Habitat America
- AI system involved
- RentGrow
1 source article · read the reporting →
FACIL'iti sues accessibility consultant Julie Moynat over critical tweet
In November 2020, Julie Moynat, a web accessibility consultant, tweeted criticism of FACIL'iti, an accessibility product. FACIL'iti sent a formal notice to her employer and later subpoenaed her for denigration in May 2021. Moynat is raising funds for her legal defense. The case is ongoing at the Judiciary Tribunal of Paris.
- Company involved
- FACIL'iti
- AI system involved
- FACIL'iti
10 source articles · read the reporting →
Portland Water Bureau AI pilot offers discount to billionaire CEO
The Portland Water Bureau used a machine learning system in a randomised control trial to identify customers for its financial assistance programme. The system selected Columbia Sportswear CEO Tim Boyle, a billionaire and one of the city's largest residential water consumers, for a 40% water bill discount. Boyle declined the discount, stating it should go to someone who needs it. The bureau is testing whether the SERVUS algorithm can accurately identify customers' ability to pay.
- Company involved
- Portland Water Bureau
- AI system involved
- Smart Discount Program
1 source article · read the reporting →
Blind people and advocates criticise AccessiBe for worsening website access
Blind users and disability advocates say AccessiBe, an automated web accessibility overlay, disrupts screen readers on websites, making some sites unnavigable and preventing users from paying rent, shopping or teaching. More than 400 people signed an open letter asking companies to stop using automated overlays. Some blind users have brought ADA lawsuits against companies that use AccessiBe; one case was referred to mediation and another was settled. AccessiBe denies that it was at fault, saying critics do not give specific examples.
- Company involved
- AccessiBe
- AI system involved
- AccessiBe
10 source articles · read the reporting →
NSW Reconstruction Authority data breach exposes 2031 people's info via ChatGPT
A former temporary staff member of the NSW Reconstruction Authority uploaded personal information of 2031 Northern Rivers Resilient Homes Program applicants to ChatGPT without authorisation. The data included names, contact details, dates of birth, and sensitive health information. The breach occurred between 12 and 15 March 2025. The authority has notified affected individuals, reported the breach to the NSW Privacy Commissioner, and implemented measures to prevent future unauthorised use of AI tools.
- Company involved
- NSW Reconstruction Authority
- AI system involved
- ChatGPT
2 source articles · read the reporting →
Arity collected drivers' data via apps for insurance scores
Popular smartphone apps including Life360, MyRadar and GasBuddy reportedly shared users' location and motion data with Arity, an Allstate-owned company. Arity used the data to calculate driving scores that could be sold to car insurers to set rates. Users were said not to be clearly informed that their data would be used for insurance pricing. Life360 and Arity stated that users had to opt in and that no personally identifiable driving data was shared without consent.
- Company involved
- Arity
- AI system involved
- Arity IQ network
2 source articles · read the reporting →
Universities' use of race in student risk algorithms harms Black and Latinx students
The Markup found that several universities, including UMass Amherst, UW–Milwaukee, and Texas A&M, use EAB's Navigate software which incorporates race as a predictor of student dropout risk. The algorithms label Black and Latinx students as high risk at disproportionately high rates compared to White students. Students, professors, and experts worry this is pushing minority students out of math and science majors through biased advising.
- Company involved
- University of Massachusetts Amherst,University of Wisconsin–Milwaukee,Texas A&M University,Texas Tech University,South Dakota State University
- AI system involved
- Navigate
1 source article · read the reporting →
Jordan's National Aid Fund Algorithm Denies Cash Assistance to Vulnerable Households
Human Rights Watch reported that Jordan’s Takaful cash transfer programme, run by the National Aid Fund and financed by the World Bank, uses an algorithm to rank households by estimated economic vulnerability and select recipients. The report found that the algorithm relies on inaccurate self-reported income and questionable indicators such as car ownership and utility use, causing eligible poor families to be denied benefits or receive reduced payments. The World Bank and NAF defended the programme and its targeting approach.
- Company involved
- National Aid Fund (NAF)
- AI system involved
- Takaful (Unified Cash Transfer Program)
3 source articles · read the 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 →
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 →
EEOC sues iTutorGroup for automated rejection of older tutor applicants
The US Equal Employment Opportunity Commission (EEOC) alleges that tutoring provider iTutorGroup programmed its recruitment software automatically to reject female applicants aged 55 or older and male applicants aged 60 or older. More than 200 qualified US-based applicants were denied work in 2020. The EEOC has filed a lawsuit in the Eastern District of New York seeking back pay and damages.
- Company involved
- iTutorGroup
10 source articles · read the reporting →
Shipt's new V2 algorithm reduces pay for 41% of workers, study finds
A study by MIT Media Lab and Coworker.org found that Shipt's new V2 payment algorithm reduced pay for 41% of workers by an average of 11% per shop. The algorithm, rolled out in September 2020, replaced a transparent payment system with a black-box model. Workers pooled data to analyze the impact, revealing uneven distribution of earnings.
- Company involved
- Shipt
- AI system involved
- V2
10 source articles · read the reporting →
Google AI Overviews provide inaccurate finance information in 43% of searches
A study by The College Investor found that Google's AI Overviews provided misleading or inaccurate information in 43% of 100 personal finance-related searches. The AI-generated answers included outdated tax rules and incorrect student loan repayment plan details. One user believed she could convert her 529 plan to a Roth IRA in California, which is not allowed. Google has not responded to requests for comment.
- Company involved
- Google
- AI system involved
- AI Overviews
3 source articles · read the reporting →
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 →
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 →