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 →
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 →
Educational Testing Service's E-rater algorithm biases essay scores against minority students
The Educational Testing Service's E-rater algorithm, used to grade essays on the GRE and other standardized tests, has been found to systematically give higher scores to students from mainland China and lower scores to African American students compared to human graders. The bias stems from the algorithm's reliance on surface-level metrics like vocabulary and sentence length, which disadvantage certain groups. Despite studies dating back to 1999, the bias persists, and in many states, only a small percentage of essays are reviewed by humans.
- Company involved
- Educational Testing Service
- AI system involved
- E-rater
10 source articles · read the reporting →
Google, Microsoft, and Perplexity AI search results promote racist IQ data
AI-powered search engines from Google, Microsoft, and Perplexity have been surfacing debunked research promoting race science, including false IQ scores for countries. The systems pulled data from a dataset by Richard Lynn, a known proponent of scientific racism. Google removed the offending Overviews after being contacted by WIRED, but the data still appears in featured snippets and other AI tools.
- Company involved
- Google, Microsoft, and Perplexity
- AI system involved
- AI Overviews, Copilot, Perplexity
7 source articles · 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 →
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 →
Suzhou clarifies civility scoring system after public backlash
The Suzhou municipal government announced a civility code system that assigns scores to residents based on their behavior, including traffic violations and volunteer work. The system, currently in a trial phase, aims to generate a personal portrait for each resident. Following public backlash and concerns about privacy and potential abuse, an official stated that participation will not be mandatory and that a bad score will not affect citizens. The system is still under development.
- Company involved
- Suzhou municipal government
- AI system involved
- Civility code
10 source articles · read the reporting →
Hangzhou plans permanent health codes with scoring, sparking privacy backlash
Hangzhou health authorities announced plans to launch a permanent health-tracking QR code system that would assign residents a color and numerical score based on medical records and lifestyle choices. The proposal, an expansion of the existing COVID-19 health code system, has sparked online backlash over privacy concerns and fears of discrimination. Critics argue that the system could lead to public exposure of personal health data and potential misuse by employers. The authorities aim to complete the project by May or June 2020.
- Company involved
- Hangzhou Health Authorities
- AI system involved
- Health Code
10 source articles · read the reporting →
Momus Analytics' jury-selection algorithm criticised for racial bias
Momus Analytics, a legal technology company, uses machine learning to rank potential jurors for attorneys. Experts and researchers who reviewed the company's patent application say the algorithm relies on demographic characteristics such as race, which may violate constitutional prohibitions against discriminatory jury selection. The company claims its software has helped secure verdicts worth over $940 million, but did not respond to requests for comment.
- Company involved
- Momus Analytics
- AI system involved
- Momus
9 source articles · read the reporting →
SQA exam algorithm disproportionately downgraded poorer pupils, report finds
The Scottish Qualifications Authority (SQA) used an algorithm to moderate 2020 exam results after COVID-19 cancelled exams. The algorithm disproportionately downgraded students from disadvantaged backgrounds, leading to a public outcry and a government U-turn. An independent report criticised the SQA and Scottish Government for failing to properly assess the equality impacts and for not making the algorithm available for analysis. The SQA has expressed no regret over the moderation approach.
- Company involved
- Scottish Qualifications Authority (SQA)
10 source articles · read the reporting →
Middle schooler beats Edgenuity grading algorithm to get perfect score
A seventh-grade student in the Los Angeles Unified School District received a failing grade on a history assignment graded by Edgenuity's automated scoring algorithm. With help from his mother, a history professor, he reverse-engineered the algorithm by writing a paragraph with relevant keywords and a jumble of words, earning a perfect score. The incident highlights concerns about the accuracy and fairness of automated grading systems in education.
- Company involved
- Los Angeles Unified School District
- AI system involved
- Edgenuity
10 source articles · read the reporting →
Proctorio's exam proctoring system allows human agents to review student feeds despite privacy claims
A security researcher analyzed Proctorio's Chrome extension and found evidence that the system allows human agents to review students' room scans and live ID checks, contrary to Proctorio's claims that only professors can access recordings. The system flags students based on behavioral metrics and can terminate exams. The researcher also raised concerns about discrimination against low-income students and privacy violations.
- Company involved
- Proctorio
- AI system involved
- Proctorio
10 source articles · read the reporting →
Iberian pork producers ask Spain to exempt jamón ibérico from Nutri-Score
Spain's Inter-professional Iberian Pig Association is asking for jamón ibérico to be excluded from the Nutri-Score food labelling scheme, which rates it D or E. The association says the algorithm fails to take account of the nutritional value of Iberian pork, including protein, B vitamins and minerals. Spain's agriculture minister has expressed concern; the consumer affairs ministry did not respond to a request for comment.
- Company involved
- Spanish consumer affairs ministry
- AI system involved
- Nutri-Score
10 source articles · read the reporting →
LA's VI-SPDAT housing scoring system gives lower priority to Black and Latino people
The Los Angeles Homeless Services Authority uses the VI-SPDAT scoring system to prioritise unhoused people for subsidised permanent housing. An investigation by The Markup found that Black and Latino people consistently receive lower vulnerability scores than White people, leading to lower priority for housing. The agency has acknowledged the racial disparities and is working on a new tool, but continues to use the current system.
- Company involved
- Los Angeles Homeless Services Authority
- AI system involved
- VI-SPDAT
10 source articles · read the reporting →
Wisconsin’s dropout prediction algorithm labels students high risk with racial bias
Wisconsin’s Dropout Early Warning System (DEWS) uses machine learning to predict middle school students' likelihood of graduating on time, relying on factors including race and income. The Markup found the algorithm frequently mislabels students, with a higher false alarm rate for Black and Hispanic students. The Wisconsin Department of Public Instruction has not informed schools of the racial disparities and continues to use the system.
- Company involved
- Wisconsin Department of Public Instruction
- AI system involved
- Dropout Early Warning System (DEWS)
10 source articles · read the reporting →
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 →
Nevada's AI grad score model cuts funding for low-income students
Nevada replaced its income-based school funding formula with a machine learning model developed by Infinite Campus that generates a 'grad score' for each student. The model reduced the number of students eligible for supplemental funding from 288,000 to 63,000, disproportionately affecting low-income students. Critics argue the model lacks transparency and de-emphasizes economic status, potentially leaving many high-poverty schools underfunded.
- Company involved
- Nevada Department of Education
- AI system involved
- Grad score model
7 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 →
CBSE introduces facial recognition system for students to access digital documents
The Central Board of Secondary Education (CBSE) has introduced a facial recognition system for Class 10 and 12 students to access their digital academic documents. A live image of the student is compared with the photograph on their CBSE admit card and, if the match succeeds, the certificate is emailed to them. The facility is available on Digi Locker for 2020 records and is expected to help foreign students and those unable to open a Digi Locker account.
- Company involved
- Central Board of Secondary Education (CBSE)
- AI system involved
- Facial Recognition System
10 source articles · read the reporting →
Wisconsin court used secret COMPAS algorithm to sentence Loomis to harsher term
In Loomis v. Wisconsin, a judge used a COMPAS risk score from Northpointe to sentence a defendant to a harsher punishment. The algorithm was kept secret as a trade secret, preventing the defendant from challenging its accuracy. The Wisconsin Supreme Court upheld the sentence, ruling that the score was only one part of the rationale. The case raises concerns about due process and the use of secret algorithms in criminal sentencing.
- Company involved
- State of Wisconsin
- AI system involved
- COMPAS
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 →
