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.
213 incidents closest to “Risk Adjustment” · matched on meaning · public reporting
The system set rent prices for tenants, causing them to pay higher rents.
1 source article · read the reporting →
Frances Walter, an 85-year-old woman with a shattered shoulder, had her nursing home care payment cut off by Security Health Plan after an algorithm predicted she would recover in 16.6 days. The algorithm, nH Predict from NaviHealth, did not account for her severe pain and allergy to pain medicine. She was forced to spend her life savings and enroll in Medicaid while fighting the denial. A federal judge later ruled the denial was speculative and she was owed thousands of dollars.
1 source article · read the reporting →
PredictiveHire, an AI hiring firm, developed a machine-learning model that analyses candidates' open-ended interview responses to predict their likelihood of 'job hopping'. The company used data from 45,899 applicants to build the 'flight risk' assessment, which it advertises as coming soon. Scholars warn that such tools can suppress wages by screening out workers who might seek better pay or conditions, continuing a historical trend of using personality tests to identify potential labour organisers.
1 source article · 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 NHS is being taken to court by campaign group Open Democracy over its contract with data firm Palantir. The legal action alleges that the extension of Palantir's involvement in analysing NHS patient data for pandemic response and beyond lacked a proper Data Protection Impact Assessment. The contract, initially an emergency response, was extended for two years at a cost of £23.5m. The case is pending.
10 source articles · read the reporting →
Cindy Picos was dropped by her home insurer after the company used aerial photos to assess her roof. The insurer refused to let her see the photos, and she believes her roof is in fine shape. The incident highlights the growing use of drones and aerial imagery by insurers to inspect properties without in-person visits.
2 source articles · read the reporting →
Small adaptive fashion companies have had their advertisements repeatedly rejected by Facebook's automated advertising system, which misidentifies their products as medical devices. The system's inability to understand context leads to discrimination against people with disabilities. Facebook has acknowledged the issue and restored some ads, but the problem persists, highlighting biases in machine learning.
2 source articles · read the reporting →
A study published in JAMA Network Open found that race-based adjustments in diagnostic software for lung function likely led to underdiagnosis of breathing problems in Black men. Researchers analyzed data from over 2,700 Black men and 5,700 white men at the University of Pennsylvania Health System and concluded that up to 40% more Black men might have been diagnosed if the algorithm were changed. The American Thoracic Society has recommended replacing race-focused adjustments, but changes may take time.
2 source articles · read the reporting →
Managers at Brookdale Senior Living, the largest assisted-living chain in the US, allege that an algorithm called 'Service Alignment' set staffing levels so low that facilities were dangerously short-handed. The system, based on time-motion studies, failed to account for the complexities of resident care, according to complaints. Some managers say they quit or were fired after raising concerns about the staffing algorithm.
1 source article · read the reporting →
For years, a clinical algorithm used for the national kidney transplant waitlist made Black patients appear healthier than they were, making it harder for them to secure transplant spots. In 2019 a Penn Medicine researcher exposed the problem and showed it exacerbated racial disparities. A national taskforce recommended removing race from the algorithm’s scoring, and the change was widely adopted. Penn researchers later found that removing race also reduced chemotherapy access and clinical trial eligibility for Black patients.
1 source article · read the reporting →
For years, U.S. transplant hospitals used a race-based version of the eGFR equation to estimate Black patients' kidney function. The adjustment inflated Black patients' readings, delaying their referral to the kidney transplant waitlist and leaving some to die or deteriorate on dialysis. After years of advocacy, the United Network for Organ Sharing prohibited the race-based calculation in 2022 and required transplant programmes to revise affected patients' waiting times.
2 source articles · read the reporting →
An internal Facebook program called XCheck granted special treatment to millions of high-profile users, including former President Donald Trump and Senator Elizabeth Warren, exempting them from content enforcement rules. The program, initially for quality control, was expanded to whitelist users deemed newsworthy or PR-risky, with the system failing to enforce rules against them. Internal documents revealed that the program made mistakes, often wrongly taking action against high-profile users. Facebook has attempted to phase out the practice but has struggled.
10 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 →
A class action lawsuit filed in Chicago alleges State Farm's automated claims processing system discriminates against Black policyholders. The suit claims Black customers are more likely to face additional paperwork and longer waits for claim approval than white customers, citing data from 800 homeowners. State Farm has stated it takes the filing seriously and is committed to fair treatment, while the plaintiffs seek to enjoin the current system and require audits.
2 source articles · read the reporting →
A hospital is suing Blue Cross and Blue Shield of Kansas City, alleging the insurer's AI flagged physicians' diagnoses as clinically invalid and led to the denial of about $2 million in claims.
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 →
Denied post-acute care coverage to elderly Medicare Advantage patients
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 →
In Arkansas and other states, algorithms were used to allocate home care hours for disabled and elderly people, replacing nurse judgments. The system assigned hours based on a scoring tool that failed to account for specific disabilities, leading to drastic cuts. Many suffered severe harm, including bed sores, missed meals, and one death. After lawsuits, Arkansas's system was thrown out in 2018, and Idaho's was declared unconstitutional.
1 source article · read the reporting →
Abbott initiated a medical device correction for certain FreeStyle Libre 3 and Libre 3 Plus sensors after internal testing found they might give incorrect low glucose readings. The company says the issue stems from one production line and could lead to improper treatment decisions for people with diabetes. Abbott is replacing affected sensors at no charge and has reported severe adverse events and deaths potentially associated with the issue.
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 →
Target used a data mining algorithm to predict when customers were pregnant based on their purchases. The algorithm sent baby product coupons to a high school student, leading her father to complain to the store. The father later learned his daughter was indeed pregnant. Target subsequently altered the coupons to disguise the data mining.
9 source articles · read the reporting →
