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.
224 incidents closest to “Tabular Review” · matched on meaning · public reporting
The system set rent prices for tenants, causing them to pay higher rents.
1 source article · read the reporting →
Duke University created and openly distributed the Duke MTMC dataset, containing surveillance footage of approximately 2,000 students and visitors on campus. The dataset was used by numerous organisations, including Chinese military-linked companies like SenseTime and Hikvision, for developing person re-identification and facial recognition technologies. Following an investigation by exposing.ai and the Financial Times, Duke University terminated the dataset in May 2019. The incident highlights the privacy risks of academic datasets being repurposed for mass surveillance without consent.
1 source article · read the reporting →
The Department of Veterans Affairs used an AI tool created by a Department of Government Efficiency employee to identify hundreds of contracts for cancellation. Senators Richard Blumenthal and Angus King have called for the VA Inspector General to investigate the use of AI in these decisions, alleging that the tool used flawed formulas and that the cancellations are harming veterans by cutting services. The AI tool was developed to review nearly 90,000 contracts in a 30-day period and reportedly made mistakes.
8 source articles · read the reporting →
A study by the University of Toronto, Vector Institute, and MIT found that AI classifiers trained on public chest X-ray datasets exhibited racial, gender, and socioeconomic bias. Female patients, Hispanic patients, and those with Medicaid insurance were disproportionately affected, with the classifiers often providing incorrect diagnoses for Medicaid patients. The researchers attributed the bias to imbalanced training data and called for rigorous fairness analyses before clinical deployment.
2 source articles · read the reporting →
In January 2022, Lobna Hemid reported her husband's abuse to Spanish police. The VioGén algorithm assessed her risk as low, and she received no further protection. Seven weeks later, her husband fatally stabbed her. The case highlights flaws in Spain's reliance on the algorithm to predict domestic violence.
2 source articles · read the reporting →
The Ninth Circuit sanctioned immigration attorneys from Sethi Law Group after they filed briefs containing AI-generated false cases and quotations. The court imposed monetary sanctions, a six-month suspension from Ninth Circuit practice, and referred the matter to the California State Bar. The court also required future filings to disclose AI use and certify that all citations were verified. The case is Lnu v. Blanche.
2 source articles · read the reporting →
The Department of Veterans Affairs' REACH VET algorithm, designed to identify veterans at high risk of suicide, reportedly prioritises white men and excludes factors like military sexual trauma that disproportionately affect women. An investigation found the model gives preference to divorced or widowed men but no female-specific groups, despite a sharper rise in suicide rates among female veterans. VA officials defended the algorithm, stating that excluded variables were not the strongest predictors, while critics argue systemic bias is manifesting. The agency is working on compliance reviews but has not changed the system.
2 source articles · read the reporting →
Elizabeth Amirault, a 34-year-old chronic pain patient, was denied narcotic pain medication during a hospital visit in Fort Wayne, Indiana, in August 2022. A nurse practitioner told her that her Narx Score, generated by Bamboo Health's NarxCare platform, was too high to prescribe opioids. The algorithm uses prescription drug monitoring data to assess risk of misuse, but critics say it can harm patients by cutting off needed care. Amirault believes her score was unfairly high due to her multiple surgeries and doctors.
3 source articles · read the reporting →
The system made driving decisions that violated traffic safety laws, affecting other road users.
1 source article · read the reporting →
The AI system generated fabricated legal citations that were included in a court filing, misleading the court and opposing counsel.
1 source article · read the reporting →
ChatGPT conversations were reviewed by third-party contractors without adequate disclosure to users.
1 source article · read the reporting →
The smart glasses recorded bystanders without their consent and sent the footage to Meta for AI training.
1 source article · read the reporting →
A class action, settled for $30 million, alleged that Equifax automatically rejected consumers' disputes of hard inquiries on their credit reports, sending a form letter instead of investigating.
1 source article · read the reporting →
Automated driving system controlled vehicle braking and acceleration, leading to rear-end collisions with other road users
1 source article · read the reporting →
The Allegheny Family Screening Tool, an algorithm used to screen child neglect reports, has been found to flag a disproportionate number of Black children for mandatory investigation compared to white children. A technical glitch also presented wrong risk scores for over two years. County officials say social workers can override the algorithm and that the glitch has been fixed, but critics argue the tool hardens racial disparities and lacks transparency.
10 source articles · read the reporting →
Pro Se Litigant | D. Arizona | State(s): USA. AI tool: Clearpoint. Problem: Fabricated: Case Law. Consequence: Bar Referral.
1 source article · read the reporting →
The AI generated fake legal citations that were included in an appellate brief, affecting the court and the client.
1 source article · read the reporting →
In Tiekert v. Village of Mamaroneck in the Southern District of New York, the court found that the plaintiff's lawyer filed briefs containing non-existent quotations and misrepresented authorities. In a filing to the court, the lawyer said ChatGPT had been used to assist with legal research. On September 14, 2026, the court imposed Rule 11 sanctions: $500 payable to the court and two New York continuing legal education credits in ethics on the use of AI.
2 source articles · read the reporting →
The AI generated false legal citations that were included in a court filing, misleading the court.
1 source article · read the reporting →
Attorney H. Gregory Harp was sanctioned with a public reprimand, disqualification from the case, a six-month court suspension, and a bar referral for filing AI-hallucinated legal citations and deleting evidence.
1 source article · read the reporting →
AI-generated false legal citations were submitted to the Solicitors Disciplinary Tribunal, misleading the tribunal and the regulator.
1 source article · read the reporting →
Whitebridge AI, a Lithuanian company, is accused of generating false reputation reports using unlawfully scraped social media data. The reports contained false warnings for 'sexual nudity' and 'dangerous political content'. Privacy group Noyb filed a complaint with the Lithuanian data protection authority, alleging violations of the GDPR. The complainants sought access to their data but received no response, and were later required to provide a qualified electronic signature to correct errors.
6 source articles · read the reporting →
An external audit of Spain's VioGén system, used by police to assess risk for gender violence victims, found lack of transparency, underestimation of psychological violence, and risk levels influenced by police resources. The audit, based on interviews and data from murdered women, revealed that 55 women who were killed had received insufficient protection. The Ministry of Interior denied the findings, calling the study lacking in rigor, and defended the system as scientifically validated.
7 source articles · read the reporting →
In 2016, Carmen Arroyo requested to move her disabled son Mikhail into a larger apartment in the same complex. The landlord, WinnResidential, used CoreLogic's CrimSafe tenant screening software, which flagged a dropped retail theft charge against Mikhail as disqualifying. The landlord rejected the application without explanation. Arroyo sued CoreLogic and WinnResidential under the Fair Credit Reporting Act and the Fair Housing Act, alleging that the software disproportionately excludes people of colour. The case was scheduled for trial in August 2021.
10 source articles · read the reporting →
