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.
44 incidents closest to “FRISS Compliance Screening” · matched on meaning · public reporting
The system screened out job applicants based on personality tests, video interviews, and cognitive assessments, affecting autistic, neurodivergent, and people of color.
1 source article · read the reporting →
The AI platform screened job applicants, affecting their hiring prospects.
1 source article · read the reporting →
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
Checkr's system misreported criminal records belonging to someone else on Natasha Davis's consumer report, impeding her ability to gain employment.
1 source article · read the reporting →
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.
5 source articles · read the reporting →
The city of Rotterdam deployed a machine learning algorithm built by Accenture to flag welfare recipients for fraud investigation. The system used personal data including gender, language, and subjective caseworker notes to generate risk scores, leading to investigations that disproportionately targeted women and migrants. An external review found the algorithm discriminatory and inaccurate, prompting the city to suspend its use in 2021. The system's opacity made it nearly impossible for those flagged to challenge the decisions.
6 source articles · read the reporting →
Evolv, a company selling AI-powered weapons detection systems, has been ordered by the FTC to stop making misleading claims about its Evolv Express product. The FTC alleged that the technology is essentially a metal detector with unproven AI, and that Evolv falsely claimed it could detect guns while ignoring harmless items. A pilot in New York City subways resulted in over 100 false positives and no guns detected. The settlement requires Evolv to allow educational customers to cancel their contracts and prohibits further misrepresentations.
2 source articles · read the reporting →
The Home Office is using a secret algorithm to sort visa applicants into fast, slow, or full-check streams. The algorithm allegedly uses biased criteria like nationality, disadvantaging people of colour. Foxglove and the Joint Council for the Welfare of Immigrants have initiated legal action, serving a pre-action letter and seeking judicial review. The Home Office has not disclosed details, citing the Immigration Exemption to the Freedom of Information Act.
8 source articles · read the reporting →
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.
2 source articles · read the reporting →
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.
9 source articles · read the reporting →
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.
10 source articles · read the reporting →
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 →
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.
2 source articles · read the reporting →
The U.S. Border Patrol has built a nationwide dragnet driver-surveillance system using automated license plate readers and AI to flag suspicious travel patterns. Local police then pull over targeted drivers on pretexts, interrogate them, and seize cash and vehicles through civil asset forfeiture. The program has been kept secret, with details hidden from court documents and the public. The ACLU report highlights the abuse of innocent drivers and calls for congressional action.
6 source articles · read the reporting →
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.
10 source articles · read the reporting →
Amnesty International's report alleges that the Dutch police's Sensing predictive policing project in Roermond uses algorithms that result in automated discrimination and mass surveillance. The system assesses crime risk for individuals and locations, potentially targeting marginalized communities. The report calls for accountability and human rights safeguards.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
Titus Henderson, a prisoner, filed a civil rights lawsuit against COMPAS and other defendants in the U.S. District Court for the Western District of Wisconsin on July 16, 2018. The lawsuit alleges discrimination related to the use of the COMPAS risk assessment tool. The case is ongoing.
6 source articles · read the reporting →
A judge ruled that a police search using Flock's automated license plate readers constituted a form of mass surveillance. The ruling concerns the deployment of the AI-based camera system by law enforcement, which the court found to be an invasive surveillance practice. No further details of the case were provided in the article.
4 source articles · read the reporting →
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.
6 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
The Federal Trade Commission (FTC) took action against IntelliVision Technologies Corp. for making false, misleading, or unsubstantiated claims about its AI-powered facial recognition software. The company allegedly claimed its software had one of the highest accuracy rates on the market and was free of gender or racial bias, without supporting evidence. The FTC also alleged that IntelliVision did not train its software on millions of faces as claimed, but on images of approximately 100,000 individuals. Under a proposed consent order, IntelliVision is prohibited from making such misrepresentations without competent and reliable testing.
9 source articles · read the reporting →
