DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
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.
- Company involved
- DeepScore
- AI system involved
- DeepScore
6 source articles · read the reporting →
Lemonade backtracks on tweet claiming AI scans customer faces for fraud
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.
- Company involved
- Lemonade
10 source articles · read the reporting →
Plastic Forte fined for using facial recognition on workers without notice
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.
- Company involved
- Plastic Forte
7 source articles · read the reporting →
EPIC lawsuit challenges USPS secret surveillance program using facial recognition
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.
- Company involved
- United States Postal Service
- AI system involved
- Internet Covert Operations Program (iCOP)
10 source articles · read the reporting →
LoanDepot algorithm denied mortgage to Black couple in Charlotte
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.
- Company involved
- loanDepot
- AI system involved
- Classic FICO and Fannie Mae/Freddie Mac automated underwriting software
10 source articles · read the reporting →
FTC settles with IntelliVision over deceptive facial recognition claims
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.
- Company involved
- IntelliVision Technologies Corp.
- AI system involved
- IntelliVision facial recognition software
9 source articles · read the reporting →
Met Police buys £3m retrospective facial recognition system
The Metropolitan Police Service (MPS) has awarded a £3 million, four-year contract to Northgate Public Services for a new retrospective facial-recognition (RFR) system to be deployed within three months. RFR processes biometric information from historic CCTV, social media, and other images to identify suspects and missing persons, operating retroactively unlike live facial recognition. The procurement was approved by the Mayor's Office for Policing and Crime in August 2021. The MPS states that human-in-the-loop decision-making will be used, but digital rights groups and a former biometrics commissioner have raised concerns about potential discrimination, overrepresentation of marginalised groups in watch lists, and lack of a legislative framework.
- Company involved
- Metropolitan Police Service
- AI system involved
- Retrospective facial-recognition software
9 source articles · read the reporting →
Face recognition bypass used to register shell companies for tax fraud in Shanghai
In a major tax fraud case in Shanghai, criminals used face recognition cracking techniques to register shell companies on government platforms. They purchased high-resolution photos and used apps to create fake videos, then used modified phones to bypass face recognition authentication. The scheme resulted in fraudulent invoices totaling over 500 million yuan. The case was prosecuted by the Shanghai procuratorate.
7 source articles · read the reporting →
UnitedHealth used ALERT algorithm to limit mental health coverage, regulators found
ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.
- Company involved
- UnitedHealth Group
- AI system involved
- ALERT
5 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
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.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
California EDD's automated fraud detection wrongly suspended 600,000 legitimate unemployment claims
In January 2021, the California Employment Development Department used Thompson Reuters automated batch review software to flag 1.1 million unemployment claims as potentially fraudulent. EDD stopped payments on those claims without prior notice. Later, over 600,000 were confirmed as legitimate after claimants used ID.me to verify their identity. The incident highlights the trade-off between fraud prevention and timely benefit access.
- Company involved
- California Employment Development Department (EDD)
- AI system involved
- Thompson Reuters Automated Batch Review
7 source articles · read the reporting →
Spanish police bust $20M AI-powered investment scam
Spanish law enforcement, collaborating with international authorities, dismantled a $20 million investment scam that used AI-driven algorithms to deceive individuals and organizations. Six suspects were detained and assets, including luxury cars and cryptocurrency, were seized. The article does not report any compensation for victims.
5 source articles · read the reporting →
OnlyFake site uses neural networks to generate fake IDs, bypasses OKX verification
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.
- Company involved
- OKX
- AI system involved
- OnlyFake
10 source articles · read the reporting →
Swedish welfare agency's AI system flags marginalized groups for fraud investigations
Försäkringskassan, Sweden's Social Insurance Agency, uses an AI risk-scoring system to flag welfare applicants for fraud investigations. The system disproportionately targets women, individuals with foreign backgrounds, low-income earners, and those without university degrees, according to an investigation by Lighthouse Reports and Svenska Dagbladet. Amnesty International has called for the system to be discontinued, citing violations of the right to equality and non-discrimination.
- Company involved
- Försäkringskassan (Swedish Social Insurance Agency)
6 source articles · read the reporting →
Chicago class action challenges ShotSpotter's discriminatory stop-and-frisk deployments
ShotSpotter, a gunshot detection system used by the Chicago Police Department, generates alerts that lead to police deployments and stop-and-frisk stops. Analyses show over 90% of alerts are unfounded, and the system is deployed only in predominantly Black and Latinx districts. A class-action lawsuit against the City of Chicago alleges the system fuels unconstitutional and discriminatory policing, including false accusations against individuals like Michael Williams.
- Company involved
- City of Chicago
- AI system involved
- ShotSpotter
7 source articles · read the reporting →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
Dutch Ministry of Foreign Affairs used secret algorithm to score visa applicants based on nationality
The Dutch Ministry of Foreign Affairs used a secret algorithm called IOB to score short-stay visa applicants based on nationality, gender, and age. Applicants flagged as high risk were automatically moved to an intensive track with higher rejection rates and delays. The ministry's own data protection officer warned of potential ethnic discrimination, but the system continued to be used. The algorithm has profiled millions of applicants since 2015.
- Company involved
- Ministry of Foreign Affairs
- AI system involved
- IOB
10 source articles · read the reporting →
iBorderCtrl lie detector falsely flagged honest reporter as liar
A journalist testing Europe's iBorderCtrl virtual policeman at the Serbian-Hungarian border gave honest answers but was deemed a liar by the system, scoring 48 out of 100 with four false answers flagged. The Hungarian policeman said the result suggested further checks, though none were carried out. The reporter only learned of the result after filing a data access request under European privacy laws. Experts and transparency activists have criticised the technology as pseudoscientific and potentially discriminatory.
- Company involved
- iBorderCtrl consortium
- AI system involved
- Silent Talker / iBorderCtrl virtual policeman
10 source articles · read the reporting →
DWP algorithm mistakenly flags 200,000 Housing Benefit claimants for fraud review
The UK Department for Work and Pensions (DWP) uses an algorithm to flag Housing Benefit claimants for possible fraud or error. According to a Big Brother Watch investigation, the algorithm has mistakenly flagged 200,000 innocent people, subjecting them to intrusive reviews. Only one in three flagged cases actually had errors, compared to two in three during the pilot. The DWP has spent £4.4 million on these pointless checks.
- Company involved
- Department for Work and Pensions (DWP)
6 source articles · read the reporting →
Audit of RisCanvi finds biases and reliability issues in criminal justice system
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
- Company involved
- Catalonia's criminal justice system
- AI system involved
- RisCanvi
4 source articles · read the reporting →
Outabox hack exposes biometric data of patrons at bars, clubs and casinos
Hackers claiming to be former employees published a website allowing searches of Outabox's facial recognition database, exposing biometric and other sensitive data of patrons used for age verification at bars, clubs and casinos. The Surveillance Technology Oversight Project warns that the breach demonstrates the danger of facial recognition for age verification. S.T.O.P. has launched a campaign to ban facial recognition in public accommodations.
- Company involved
- Outabox
8 source articles · read the reporting →
Vumacam's AI CCTV system flagged 28 black people as suspicious in Johannesburg suburbs
In Johannesburg suburbs, Vumacam's AI-powered CCTV network using iSentry software flagged 28 black individuals as 'suspicious' in a shift report, according to a 2019 article. The system, deployed by private security firms, uses video analytics to detect abnormal behavior and alerts security guards. The article alleges that the system disproportionately targets people of color, reflecting racial bias in a racially divided country.
- Company involved
- Vumacam
- AI system involved
- iSentry
6 source articles · read the reporting →
Dutch DPA fines Clearview AI €30.5 million for GDPR violations
The Dutch Data Protection Authority fined Clearview AI €30.5 million for creating an illegal database of biometric codes scraped from social media without consent. The regulator accused the company of failing to inform individuals about how their data is used and continuing violations after investigation. Clearview AI denies the allegations, stating it has no presence in the Netherlands or EU and that the fine is unenforceable.
- Company involved
- Clearview AI
- AI system involved
- Clearview AI facial recognition database
7 source articles · read the reporting →
Dutch probation service's OXREC algorithm flawed, leading to incorrect recidivism risk assessments
The Dutch Inspectorate of Justice and Security (Inspectie JenV) published a report finding that the probation service's (Reclassering) OXREC algorithm contains serious flaws, including swapped formulas and incorrect numbers, causing about a quarter of risk assessments to be wrong. The algorithm, used since 2018 for about 44,000 cases per year, also uses variables that can lead to discrimination, such as neighborhood score and income. The Inspectorate recommended immediate correction or temporary suspension. The probation service announced it would temporarily stop using OXREC.
- Company involved
- Reclassering Nederland
- AI system involved
- OXREC
4 source articles · read the reporting →
