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 “SAS Fraud Decisioning” · matched on meaning · public reporting
The system flagged student assignments as AI-generated, potentially leading to academic misconduct accusations.
1 source article · read the reporting →
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.
10 source articles · read the reporting →
AI-generated deepfakes and voice cloning convinced a 63-year-old woman to send $150,000 to a scammer posing as a romantic partner
1 source article · read the reporting →
A study by Dartmouth College researchers found that the COMPAS recidivism risk assessment algorithm, used by judges in several US states, is no more accurate than random people recruited online. The algorithm, developed by Equivalent, exhibited racial bias by classifying black defendants as higher risk and white defendants as lower risk, leading to harsher rehabilitation recommendations for black defendants. The bias likely stems from skewed arrest rate data. The findings build on a 2016 ProPublica investigation.
10 source articles · read the reporting →
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
米連邦地裁がWorkdayの主張を退け、AI採用訴訟の継続を認める - Межа. Новини України.
A federal court in San Francisco declined Workday's request to dismiss a lawsuit alleging its AI-powered hiring software discriminates against applicants with disabilities and other protected groups. Judge Rita Lin ruled that California anti-discrimination law may apply and allowed claims that the software screens candidates using proxy indicators such as employment gaps to move forward. Workday maintains its tools evaluate only qualifications and do not make hiring decisions.
1 source article · read the reporting →
Верховный апелляционный суд ЮАР рассмотрел дело об алгоритмах Sassa - UA.NEWS
The Supreme Court of Appeal heard an appeal on 25 August about Sassa's digital application system for the SRD grant. The system only accepts online applications and uses automated bank account checks that may deny grants to people whose accounts receive deposits that are not regular income. The Global Center on AI Governance submitted that automated decisions must uphold constitutional rights and be fair, non-discriminatory, and suited to South Africa's informal economy.
1 source article · read the reporting →
A fraud analyst, Leon, was targeted by scammers who used AI to create convincing fake websites for non-existent investment firms. The scammers posed as employees of Assent Advisory and directed him to elaborate sites for APPC Capital Singapore and Thackeray Mines and Minerals Inc., complete with AI-generated images and fake details. Leon recognised the scam, but the sophistication of the AI-generated content made him second-guess his own judgment. The incident highlights how AI is enabling more convincing investment scams.
1 source article · read the reporting →
In late 2019, David Heinemeier Hansson alleged on Twitter that the Apple Card underwriting algorithm, operated by Goldman Sachs, gave him a higher credit limit than his wife despite similar financial profiles. The New York Department of Financial Services investigated and found no violation of fair lending laws, but critics argue the audit methodology was outdated and failed to detect proxy discrimination. Apple later updated its credit policy to allow spouses to combine credit files, acknowledging a lack of fairness in industry credit scoring.
6 source articles · read the reporting →
In June 2024, a scam group posing as FTX debt claimants allegedly used AI-generated identities and manipulated facial appearances to defraud two companies of more than $5.6 million. The perpetrators accessed FTX customer data through public bankruptcy filings or a 2023 data breach at Kroll. Blockchain analysis traced the stolen funds through Binance, CoinEx, and Gate.io. The incident remains unresolved.
6 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 →
The SEC charged Delphia (USA) Inc. and Global Predictions Inc. for making false and misleading statements about their use of artificial intelligence. Delphia claimed from 2019 to 2023 that it used AI and machine learning to predict investments, while Global Predictions falsely claimed in 2023 to be the 'first regulated AI financial advisor'. Both firms settled the charges without admitting or denying the findings, agreeing to pay a total of $400,000 in civil penalties and to cease and desist from further violations.
1 source article · read the reporting →
Michigan's Unemployment Insurance Agency (UIA) deployed the Michigan Integrated Data Automated System (MiDAS) to automate fraud detection. The system algorithmically adjudicated over 40,000 fraud cases between October 2013 and September 2015, with 85 percent of those resulting in incorrect fraud determinations. The false accusations led to severe financial penalties, ruined credit, and homelessness for many victims. A class-action lawsuit was filed, and while the state has apologised and returned fines, it has fought against compensation claims, though legislators have promised to seek at least $30 million for those affected.
10 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 →
Scammers used AI-generated deepfake videos and fake interviews impersonating diabetes expert Professor Jonathan Shaw and other health professionals to promote a dietary supplement called Glyco Balance. The fraudulent ads falsely claimed the supplement, sold by Vellec Group, was developed at the Baker Institute and that commonly prescribed diabetes medication is dangerous. One victim, Michael, purchased the supplement for $340 before realising it was a scam. The Therapeutic Goods Administration is assessing the situation, and Meta removed the fake video after the Baker Institute reported it.
1 source article · read the reporting →
The Centers for Medicare & Medicaid Services (CMS) clarified that health insurers cannot use algorithms or AI to deny care to Medicare Advantage members. This follows lawsuits alleging UnitedHealth and Humana used an AI tool, nH Predict, to wrongfully deny post-acute care to elderly patients. The tool reportedly produced rigid estimates ignoring individual patient needs, leading to premature denials. CMS warned that non-compliance could result in penalties and increased audits.
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 →
In March 2019, criminals used commercially available AI voice-generation software to impersonate the CEO of a German parent company. They tricked the CEO of a UK-based energy firm into urgently wiring $243,000 to a Hungarian supplier. The fraud was discovered when the fraudsters attempted a second transfer, which the CEO refused. The company was insured and the loss was covered.
10 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 →
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.
5 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 →
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 →
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.
10 source articles · read the reporting →
