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.
68 incidents closest to “FICO Platform” · matched on meaning · public 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 →
The Texas Attorney General investigated Pieces Technologies, a Dallas-based healthcare AI company, for making false and misleading statements about the accuracy of its generative AI product used in hospitals. The company claimed an error rate of less than 1 per 100,000, but the investigation found these metrics were likely inaccurate. As part of the settlement, Pieces agreed to accurately disclose its product's accuracy and ensure hospital staff understand the appropriate reliance on its AI. The case marks the first-of-its-kind healthcare generative AI investigation by the AG.
4 source articles · read the reporting →
A verified Twitter account posted a deepfake video of FTX founder Sam Bankman-Fried claiming to offer compensation to users of the collapsed exchange. The video directed viewers to a phishing website, ftxcompensation.com, that asked them to connect their crypto wallets and send funds with the promise of doubling them. The site's Ethereum address reportedly received over $1,000 in ETH. The account was later suspended.
10 source articles · read the reporting →
Researchers at the University of Illinois Urbana-Champaign used OpenAI's Realtime API to create AI agents that can autonomously execute phone scams. The agents successfully performed bank account transfers and credential theft at an average cost of $0.75 per scam. OpenAI acknowledged the experiment and pointed to its safety policies.
6 source articles · read the reporting →
The Securities and Exchange Commission (SEC) warned the public that scammers are using deep fake videos and audio of Lance Gokongwei to endorse fraudulent investment schemes. The manipulated media circulate on social media, deceiving people into investing in a platform registered in Cyprus. Victims are asked to provide credit card details and OTPs, then lose contact when attempting to withdraw funds. The SEC advises the public to verify investment offers with the agency.
2 source articles · read the reporting →
Barclays introduced a pilot of employee monitoring software from Sapience in its product control department at Canary Wharf. The system monitors computer activity and admonishes staff if they are not deemed active enough, recording breaks as "unaccounted activity". Employees reported significant stress and worry about taking breaks. Barclays acknowledged the pilot and said it would listen to feedback.
10 source articles · read the reporting →
Digital Minds, a Finnish recruitment company founded by psychologists, used IBM Watson AI to analyze job applicants' social media and email messages for personality assessments. The company obtained written consent but the Finnish Data Protection Ombudsman launched an investigation, suspecting violations of data protection laws and the secrecy of correspondence. The service was used on fewer than ten applicants and has been paused pending the investigation.
9 source articles · read the reporting →
An attacker used synthetic audio deepfake to leave a voicemail impersonating the CEO of a technology company, asking an employee to call back to finalize an urgent business deal. The employee found it suspicious and referred the matter to the legal department, avoiding any loss. Nisos analyzed the audio and found inconsistencies in pitch and tone.
10 source articles · read the reporting →
Tate Ryan-Mosley, a journalist at MIT Technology Review, used Qoves Studio's AI facial assessment tool, which automatically scored her face and listed perceived flaws such as smile lines and under-eye bags. The tool recommended skin-care products and paid surgical consultation reports. She also tried Megvii's Face++ beauty-scoring system, which gave her two percentage attractiveness scores. The article raises concerns that such algorithms are inaccurate, biased and not transparently used by social media platforms.
9 source articles · read the reporting →
The US Federal Trade Commission has charged Sitejabber, an AI-enabled review platform, with deceiving consumers by publishing ratings and reviews submitted at the point of purchase, before buyers had received or experienced the products. The FTC alleges this artificially inflated average ratings and review counts for its clients. Sitejabber has agreed to a proposed consent order prohibiting it from making such misrepresentations in the future.
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 →
The Markup found that four companies—Aspiration, Hometap, Chime, and Varo Bank—ran Facebook ads for credit cards and home equity loans that were targeted by age, excluding users under 25 or 35. This practice violates Facebook's own anti-discrimination policy and may violate the Equal Credit Opportunity Act and California's Unruh Civil Rights Act. Facebook did not respond to requests for comment, and some advertisers said they would review their ad targeting.
9 source articles · read the reporting →
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
10 source articles · read the reporting →
Dozens of hospitals across the US are using Epic's deterioration index AI system to predict which Covid-19 patients will become critically ill, despite the tool not being validated for the new disease. The rapid deployment during the pandemic bypassed normal testing and validation processes.
9 source articles · read the reporting →
The Spanish data protection agency AEPD fined Plastic Forte, a plastics manufacturer in Alicante, €20,000 for using facial recognition to record employees' working hours without informing them. A worker requested information about his personal data and discovered the biometric processing. The company initially argued it was only for time tracking but later acknowledged responsibility, resulting in a reduced fine of €12,000. The AEPD deemed facial recognition for time control as highly intrusive and requiring prior impact assessment.
7 source articles · read the reporting →
The United States Postal Service's law enforcement wing, the Postal Inspection Service, ran a secret surveillance program called the Internet Covert Operations Program (iCOP) that used facial recognition from Clearview AI and social media monitoring tools to infiltrate online communities and monitor protests. The Electronic Privacy Information Center (EPIC) sued the USPS for failing to conduct and publish a privacy impact assessment as required by the E-Government Act. A federal district court dismissed the lawsuit on standing grounds, ruling that EPIC did not suffer a cognizable injury from the agency's refusal to disclose information about the program.
10 source articles · read the reporting →
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%.
6 source articles · read the reporting →
In August 2019, Crystal Marie and Eskias McDaniels, a Black couple, were denied a mortgage for a house in Charlotte, North Carolina, by loanDepot's automated underwriting algorithm. The algorithm rejected the application because Crystal Marie was a contractor, not a full-time employee, despite her high credit score and income. After the couple enlisted their real estate agent and employer to intervene, the lender reversed the decision and cleared them to close. The couple alleged that race played a role in the denial, which loanDepot denied.
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 →
ScaleFactor, an Austin-based startup, is reported to have failed to deliver the automated, real-time bookkeeping tools it promised customers, instead relying on human bookkeepers and a Filipino contract accounting firm. The company told Forbes in June that it was shutting down, initially blaming the pandemic, but Forbes later reported that its problems predated Covid-19. Investors reportedly came to see the company as more of a services business than a software platform, and pulled funding after a pivot to a marketplace model. No legal or regulatory action is reported.
10 source articles · read the reporting →
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
10 source articles · read the reporting →
A study published in Scientific Reports evaluated the Cigna StressWaves Test (CSWT), an AI tool that claims to assess psychological stress from speech. The study found that the CSWT had poor test-retest reliability and poor validity compared to the Perceived Stress Scale. The authors warned that widespread availability of the tool could lead to misleading results and negative consequences for users making healthcare decisions. Cigna has not publicly responded to the findings.
4 source articles · read the reporting →
An underground website called OnlyFake uses neural networks to generate realistic photos of fake IDs for $15. The journalist tested the service and obtained a convincing California driver's license. They then used another fake ID to successfully bypass the identity verification process on OKX, a cryptocurrency exchange. The article alleges that this technology could streamline bank fraud and money laundering, but reports no actual financial loss.
10 source articles · read the reporting →
A report by Cracked Labs found that Microsoft's Dynamics 365 Field Service software uses AI to generate performance metrics and predict task durations, singling out individual workers. The AI predictions can be influenced by the worker's identity, such as increasing or decreasing estimated duration. Microsoft stated the system is not intended for employment decisions and is not a surveillance tool, but the report raises concerns about potential misuse for worker monitoring.
6 source articles · read the reporting →
