Schufa's Black-Box Scoring Unfairly Penalises Consumers with Positive Credit Data
An investigation by SPIEGEL and BR Data reveals that Schufa's credit scoring algorithm often assigns poor risk scores to consumers with only positive credit information. One consumer, Sven Drewert, was denied a credit card limit increase despite having no negative entries. The algorithm uses limited data, and its secret formula can lead to arbitrary categorisations, affecting access to loans, phone contracts, and housing. The system's opacity and potential biases raise concerns about fairness and accountability.
- Company involved
- Schufa Holding AG
- AI system involved
- Schufa Score
2 source articles · read the reporting →
Y Combinator Supports AI Startup Optifye Dehumanizing Factory Workers
Optifye, an AI startup, is accused of dehumanizing factory workers through its system. Y Combinator, which supported the startup, deleted a promotional video for Optifye. The allegations were reported by 404media.co.
- Company involved
- Optifye
- AI system involved
- Optifye
7 source articles · read the reporting →
DOJ's Pattern Algorithm Shows Racial Disparities in Early Release Decisions
The U.S. Department of Justice's Pattern risk assessment algorithm, used to determine federal prisoners' eligibility for early release under the First Step Act, was found to produce racial disparities. A December 2021 DOJ report revealed that the tool overpredicted recidivism risk for Black, Hispanic, and Asian inmates, with only 7% of Black prisoners classified as minimum risk compared to 21% of white prisoners. Civil rights groups have called for the suspension of the tool, while the DOJ is working on an overhaul and reevaluating 14,000 prisoners who were misclassified.
- Company involved
- U.S. Department of Justice
- AI system involved
- Pattern
1 source article · read the reporting →
Durham Police uses Experian Mosaic data in HART AI risk tool
Durham Constabulary developed the Harm Assessment Risk Tool (HART), a machine learning algorithm that assesses the recidivism risk of offenders. The tool uses 34 data categories including criminal history, age, gender and two types of postcode, one sourced from Experian's Mosaic marketing segmentation system. Big Brother Watch alleges that using such commercial consumer behaviour data to inform custody decisions risks prejudice and disproportionate targeting of deprived neighbourhoods. The force has stated it is refreshing the model with an aim to remove one of the postcode predictors.
- Company involved
- Durham Constabulary
- AI system involved
- Harm Assessment Risk Tool (HART)
9 source articles · read the reporting →
UK government using AI for benefits and immigration decisions
The UK government is reportedly using artificial intelligence to make decisions on welfare benefits and immigration applications. The system automates decisions previously made by human caseworkers. Concerns have been raised about the fairness and transparency of such automated decisions.
10 source articles · read the reporting →
Predictim AI babysitter screening raises accuracy and bias concerns
Jessie Battaglia used Predictim, an online service that claims to use AI to assess babysitters' risk of drug abuse, bullying, or bad attitude. The service analyzes social media profiles and other online data. Experts have raised concerns about the accuracy and potential bias of the AI assessments. Predictim's CEO defended the service, saying it provides additional information for parents.
- Company involved
- Predictim
- AI system involved
- Predictim
10 source articles · read the reporting →
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 →
FinTech and traditional lenders discriminate against minority borrowers in mortgage pricing
A study of mortgage lending from 2012-2018 found that Latinx and African-American borrowers were charged higher interest rates than white borrowers with similar credit risk. FinTech algorithms reduced the disparity by 40% but did not eliminate it. The discrimination costs minority borrowers an estimated $765 million per year in extra interest.
10 source articles · read the reporting →
Companies face AI deepfake job candidates for remote roles
US companies report a surge in fake job seekers using generative AI tools to fabricate identities, employment histories, and conduct deepfake video interviews for remote positions. Cybersecurity firms Pindrop and CAT Labs, along with BrightHire, describe incidents where scammers, including North Korean operatives, attempted to gain employment to install malware, demand ransoms, steal data, or collect salaries fraudulently. One candidate, 'Ivan X', was detected by Pindrop's video authentication tool after a recruiter noticed his facial expressions were out of sync with his words.
- Company involved
- Pindrop Security
- AI system involved
- video authentication program
1 source article · read the reporting →
Austrian court lifts ban on AMS job-chance prediction algorithm
The Austrian Federal Administrative Court overturned a ban by the Data Protection Authority on the AMS algorithm, which predicts job chances of unemployed people. The system, trained on historical data including age, gender, and nationality, categorises individuals as high, medium or low chance of re-employment. Critics argue it discriminates against women and mothers, and that the data is now outdated due to the COVID-19 pandemic. The court ruled that the algorithm is lawful as long as a human advisor makes the final decision on training support.
- Company involved
- Arbeitsmarktservice (AMS)
- AI system involved
- AMS-Algorithmus
5 source articles · read the reporting →
Finnish recruitment company Digital Minds used AI to analyze job applicants' messages, prompting data protection investigation
Digital Minds, a Finnish recruitment company founded by psychologists, used IBM Watson AI to analyze job applicants' social media and email messages for personality assessments. The company obtained written consent but the Finnish Data Protection Ombudsman launched an investigation, suspecting violations of data protection laws and the secrecy of correspondence. The service was used on fewer than ten applicants and has been paused pending the investigation.
- Company involved
- Digital Minds
- AI system involved
- IBM Watson
9 source articles · read the reporting →
DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
DeepScore, a Tokyo-based company, is marketing an app that uses facial and voice recognition to score people's trustworthiness for lenders and insurers in Japan, Indonesia, Vietnam and the Philippines. The company says the app can detect deception with 70 per cent accuracy, but researchers and privacy advocates say there is no reliable scientific basis for such judgments and warn of discrimination and privacy harms. The chief executive said the system is only one part of lenders' and insurers' decision-making and that people can choose not to use it. Critics respond that an unequal balance of power makes consent difficult.
- Company involved
- DeepScore
- AI system involved
- DeepScore
6 source articles · read the reporting →
Retorio AI personality test swayed by candidate appearance in BR experiment
Bayerischer Rundfunk journalists conducted experiments with Retorio's AI video interview analysis tool. The AI, which assesses personality traits from short videos, produced different scores when the same actress changed her appearance (glasses, headscarf, wig) or the video background and lighting were altered. The start-up Retorio acknowledged that the AI considers external image, similar to a human interviewer. Experts warned that such software could perpetuate stereotypes and unfairly affect job candidates.
- AI system involved
- Retorio AI
10 source articles · read the reporting →
Lemonade backtracks on tweet claiming AI scans customer faces for fraud
Lemonade, an insurance firm, posted a tweet claiming it uses AI to detect non-verbal cues in customer videos to deny claims. After backlash comparing the practice to phrenology, the company deleted the tweet and denied using AI to deny claims based on facial characteristics. Lemonade stated it uses facial recognition only to flag claims submitted under different identities, which are then reviewed by human investigators.
- Company involved
- Lemonade
10 source articles · read the reporting →
Study finds credit score algorithms less accurate for minorities
A study of 50 million US consumers found that credit scoring algorithms used by mortgage lenders are less accurate for minority and low-income applicants due to sparse credit data, leading to higher rejection rates. The inaccuracy is due to noise in the data, not bias, so fairer algorithms cannot fix it. The study suggests that adjusting for bias had no effect, and that addressing the inaccuracy could reduce disparities by 50%.
- Company involved
- Mortgage lenders (unnamed)
- AI system involved
- Credit scoring algorithms
6 source articles · read the reporting →
Danish law enables algorithm to profile unemployed for long-term risk
The Danish parliament passed a law in April 2019 that allows an algorithm to analyse personal data of all unemployed individuals to identify those at risk of long-term unemployment. The system uses data on ethnicity, age, health, and education history to produce a risk score for social workers. Critics, including legal experts and unemployment insurance funds, argue the profiling is stigmatising, lacks transparency, and may violate GDPR. The Danish Data Protection Authority has reopened its review of the law.
- Company involved
- Danish Ministry of Employment
10 source articles · read the reporting →
LoanDepot algorithm denied mortgage to Black couple in Charlotte
In August 2019, Crystal Marie and Eskias McDaniels, a Black couple, were denied a mortgage for a house in Charlotte, North Carolina, by loanDepot's automated underwriting algorithm. The algorithm rejected the application because Crystal Marie was a contractor, not a full-time employee, despite her high credit score and income. After the couple enlisted their real estate agent and employer to intervene, the lender reversed the decision and cleared them to close. The couple alleged that race played a role in the denial, which loanDepot denied.
- Company involved
- loanDepot
- AI system involved
- Classic FICO and Fannie Mae/Freddie Mac automated underwriting software
10 source articles · read the reporting →
Company fires HR team after ATS auto-rejects manager's CV due to filtering error
A company's applicant tracking system (ATS) auto-rejected qualified candidates' resumes for three months because it was filtering for the outdated framework AngularJS instead of the required Angular framework. The manager discovered the flaw by submitting his own CV under a pseudonym and found it was rejected within seconds. After the manager reported the issue to upper management, the company investigated and dismissed half of its HR team. No legal action or regulatory involvement is reported.
4 source articles · read the reporting →
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 →
DeepSeek exposed user data via open ClickHouse database
Cloud security firm Wiz discovered a ClickHouse database belonging to DeepSeek that was open to the internet without authentication, containing over a million lines of logs with chat histories, secret keys and backend details. Wiz disclosed the breach to DeepSeek, which promptly locked down the database. The incident highlights security risks in rapidly deploying AI services.
- Company involved
- DeepSeek
- AI system involved
- DeepSeek-R1
5 source articles · read the reporting →
EviCore denied heart catheterization for patient using algorithm
In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.
- Company involved
- EviCore (a Cigna company)
- AI system involved
- the dial
6 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
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 →
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 →
