Canadian Tire chided by BC privacy commissioner for facial recognition without consent
Canadian Tire deployed facial recognition in at least four British Columbia stores between 2018 and 2021 to curb theft and increase staff safety. The BC Privacy Commissioner investigated and found the retailer failed to show a reasonable purpose and did not obtain customer consent, violating the province's Personal Information Protection Act. After the investigation was announced, Canadian Tire discontinued use of the system at all 12 locations and deleted customer data. The commissioner recommended stronger privacy policies and government regulation of biometric technologies.
- Company involved
- Canadian Tire
10 source articles · read the reporting →
Virginia crime lab faces first challenge to secret DNA algorithm
A defendant in an armed-robbery case in Fairfax County is challenging a secret algorithm used by the Virginia crime lab to interpret DNA evidence. The lab could not make a conventional match because skin-cell DNA on the victim's shirt was mixed with DNA from too many people; the algorithm identified the defendant as a contributor. The defendant is seeking to scrutinise the algorithm, reportedly for the first time.
- Company involved
- Virginia crime lab
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 →
Study finds credit score algorithms less accurate for minorities
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%.
- Company involved
- Mortgage lenders (unnamed)
- AI system involved
- Credit scoring algorithms
6 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 →
ScaleFactor reportedly failed to deliver promised automated bookkeeping software
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.
- Company involved
- ScaleFactor
10 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 →
EviCore denied heart catheterization for patient using algorithm
In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.
- Company involved
- EviCore (a Cigna company)
- AI system involved
- the dial
6 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 →
Cigna StressWaves Test found unreliable and invalid in independent study
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.
- Company involved
- Cigna
- AI system involved
- Cigna StressWaves Test
4 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 →
Chattr.ai exposed job applicant data due to insecure Firebase rules
A security researcher discovered that Chattr.ai, an AI hiring system used by many fast food chains, had a Firebase database with insecure security rules. By registering a new user, the researcher gained full read/write access to the database, exposing personal data of job applicants and employees, including names, phone numbers, emails, and some plaintext passwords. The vulnerability was reported to Chattr.ai on 9 January and patched the next day, but the company did not provide further contact or thanks.
- Company involved
- Chattr.ai
- AI system involved
- Chattr.ai
6 source articles · read the reporting →
SEC charges American Bitcoin Academy over $1.2M AI scam
Brian Sewell, through his company American Bitcoin Academy, allegedly defrauded 15 students of $1.2 million by claiming his Rockwell Fund would use AI to generate high returns. The SEC charged that Sewell never launched the fund and lost the investors' money when his Bitcoin wallet was hacked. The case was settled with Sewell agreeing to pay $1.6 million in disgorgement and a $233,229 penalty.
- Company involved
- American Bitcoin Academy
6 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 →
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 →
CJEU rules Dun & Bradstreet must explain automated credit decisions under GDPR
A customer was refused a mobile phone contract because of an automated credit assessment by Dun & Bradstreet Austria. The customer took the case to court, which found that Dun & Bradstreet had infringed the GDPR by failing to provide meaningful information about the logic involved. The CJEU ruled that data controllers must explain automated decisions and that trade secrets cannot automatically override the right of access.
- Company involved
- Dun & Bradstreet Austria GmbH
7 source articles · read the reporting →
ICO investigates Microsoft's Recall feature for privacy risks
The UK Information Commissioner's Office (ICO) has issued a statement on 22 May 2024 regarding Microsoft's Recall feature. The ICO is making enquiries with Microsoft to understand the safeguards in place to protect user privacy, expecting transparency and necessity in data processing. This follows concerns that the feature may not adequately consider data protection from the outset before being brought to market.
- Company involved
- Microsoft
- AI system involved
- Recall
10 source articles · read the reporting →
Delta uses AI from Fetcherr for domestic ticket pricing
Delta Air Lines is using generative AI from Fetcherr to determine some domestic flight prices, currently covering 3% of its network with plans to reach 20% by end of 2025. Democratic senators expressed concern that the AI could be used for individualized pricing based on personal data, leading to higher fares. Delta denies using personal data in pricing and states it complies with regulations. No actual harm has been reported.
- Company involved
- Delta Air Lines
- AI system involved
- Fetcherr
8 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 →
Bots and short sellers spread misinformation to trigger First Republic Bank run
A report by Valent Technologies alleges that AI-powered bots and fake accounts spread misinformation about First Republic Bank in March 2023, coinciding with a $100 billion deposit withdrawal and the bank's collapse. The report suggests short sellers likely orchestrated the bots to drive down the share price. Federal regulators closed the bank and sold its assets to J.P. Morgan, and the bank's former CEO attributed the collapse to 'contamination' by anxiety.
2 source articles · read the reporting →
TransUnion AI tenant screening denied 75-year-old man apartment due to mistaken littering conviction
Chris Robinson, then 75, applied for a senior living apartment in California. The property manager used an AI screening program from TransUnion, which assigned him a low score based on a mistaken conviction for littering that belonged to a different person with the same name in Texas. Robinson lost the apartment and his application fee. A federal class-action lawsuit against TransUnion moved toward a $11.5 million settlement in 2023.
10 source articles · read the reporting →
Ukrainian Hacker Pleads Guilty to Operating OnlyFake AI ID Scam Site
Yurii Nazarenko, a Ukrainian national, pleaded guilty to running OnlyFake, an AI-powered website that generated and sold over 10,000 counterfeit identification documents globally. The site allowed users to create realistic fake IDs, including driver's licenses and passports, to bypass identity verification at banks and cryptocurrency exchanges. Nazarenko faces up to 15 years in prison and agreed to forfeit $1.2 million. Sentencing is scheduled for June 2026.
- Company involved
- OnlyFake
- AI system involved
- OnlyFake
3 source articles · read the reporting →
