DC attorney general sues 14 landlords over RealPage rent collusion
The Attorney General of Washington DC filed a lawsuit against 14 large landlords, alleging they used RealPage's YieldStar software to form “a District-wide housing cartel” that artificially inflated rents. The complaint claims RealPage's pricing algorithm used data supplied by the landlords and pressurised them to follow its rate recommendations, with one firm's internal presentation stating at least 95% compliance was expected. This alleged scheme caused residents to pay millions of dollars above fair market prices during a housing affordability crisis.
- Company involved
- Greystar Management Services
- AI system involved
- YieldStar
10 source articles · read the reporting →
HSBC voice ID breached by customer's twin brother
BBC reporter Dan Simmons set up an HSBC voice-ID authenticated account. His non-identical twin brother Joe was able to mimic his voice and gain access after eight attempts, viewing balances and transactions and being offered the chance to transfer money. HSBC acknowledged the breach and reduced the number of allowed attempts from seven to three. The bank stated that the system remains secure and that the scenario was not typical of fraud.
- Company involved
- HSBC
- AI system involved
- Voice ID
3 source articles · read the reporting →
Journalist Bypasses Lloyds Bank Voice ID with AI-Generated Voice Clone
A journalist used an AI-generated clone of his own voice to bypass the voice authentication system of Lloyds Bank, gaining access to his account. The experiment, conducted using ElevenLabs' free voice synthesis service, demonstrated that voice biometrics can be fooled by synthetic voices. Lloyds Bank stated it is aware of the threat and is deploying countermeasures, but has not seen real-world fraud using this method. The incident raises concerns about the security of voice verification used by many banks.
- Company involved
- Lloyds Bank
- AI system involved
- Voice ID
1 source article · read the reporting →
Zillow shuts down iBuying after algorithms cause $380 million loss
Zillow shut down its Zillow Offers iBuying business after its pricing algorithms, known as Zestimates, consistently overvalued homes. The company purchased thousands of homes at above-market prices and is now selling many at a loss, expecting to lose an estimated $380 million. Zillow attributed the failure to the algorithms' inability to accurately forecast home prices in a volatile market. The company will write off $569 million in home inventory and lay off 25% of its staff.
- Company involved
- Zillow
- AI system involved
- Zestimates
5 source articles · read the reporting →
Life360 sells precise location data of millions of users to data brokers
Life360, a family safety app used by 33 million people, sells precise location data of its users to approximately a dozen data brokers, according to interviews with former employees. The company removes obvious identifiers but does not adequately anonymize the data, allowing potential re-identification. Life360 announced it will stop sales to some brokers after the investigation.
- Company involved
- Life360
- AI system involved
- Life360 app
10 source articles · read the reporting →
CFPB fines General Information Services for inaccurate background checks
The Consumer Financial Protection Bureau took action against General Information Services and its affiliate e-Background-checks.com for failing to ensure the accuracy of employment background screening reports. The companies allegedly provided inaccurate criminal history information to employers, potentially affecting job applicants' eligibility and causing reputational harm. The CFPB ordered the companies to provide $10.5 million in relief to harmed consumers and pay a $2.5 million penalty.
- Company involved
- General Information Services
10 source articles · read the reporting →
FinTech and traditional lenders discriminate against minority borrowers in mortgage pricing
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 →
Wells Fargo software error caused hundreds of faulty foreclosures
Wells Fargo disclosed that a software error in its mortgage modification underwriting tool caused incorrect denials of loan modifications for approximately 870 borrowers between 2010 and 2015. The error miscalculated attorneys' fees, leading to 545 foreclosures that should not have occurred. Wells Fargo set aside $8 million for remediation and is contacting affected customers to offer compensation and mediation.
- Company involved
- Wells Fargo
3 source articles · read the reporting →
Bankrate Publishes AI-Generated Article with Numerous Factual Errors, Deletes After Futurism Inquiry
Bankrate published an AI-generated article about the best places to live in Colorado that contained multiple factual errors, including incorrect median home prices and unemployment rates. The article was removed after Futurism pointed out the mistakes. A Bankrate spokesperson blamed the errors on outdated data from an internal database, claiming the article was editor-reviewed. The incident follows a previous scandal where CNET and Bankrate paused AI content after similar errors, but the company has resumed AI article publication.
- Company involved
- Bankrate
1 source article · read the reporting →
West Virginia Couple Targeted in AI-Generated Real Estate Scam
Raegan Bartlo received an email on August 23, 2024, that appeared to be from her title company lawyer, instructing her to wire a $255,000 down payment for her new home. The email was part of a scam using generative AI to impersonate real estate professionals. Cybersecurity officials say such scams are occurring across the country, targeting homebuyers. The Bartlos were targets, but it is unclear if they lost any money.
1 source article · read the reporting →
RealPage's YieldStar algorithm pushes rents higher for tenants
RealPage's YieldStar algorithm uses private competitor data to recommend rent increases for apartment units. Landlords adopt up to 90% of the suggestions, leading to higher rents for tenants. Critics allege the software may facilitate indirect price-fixing in violation of antitrust law. The company denies wrongdoing and says the software helps eliminate collusion.
- Company involved
- RealPage
- AI system involved
- YieldStar
10 source articles · read the reporting →
Fake Luma Dream Machine AI sites deliver Noodlophile infostealer
Cybercriminals set up Facebook pages impersonating Luma Dream Machine and linked to fake AI video generation websites. Users who uploaded images received an archive containing a malicious executable instead of a video. The executable launched a multi-stage attack that installed Noodlophile, which harvests browser credentials, cookies and cryptocurrency wallet information. Morphisec reported the campaign.
8 source articles · read the reporting →
UDR Sued Over Alleged Use of RealPage Algorithm to Set Rents in San Diego
A class action lawsuit alleges that UDR, Inc. used RealPage's YieldStar algorithmic pricing software to set rental rates and occupancy levels for its San Diego properties, in violation of a local ordinance. The suit claims the software relied on nonpublic competitor data, contributing to inflated rents and making housing less affordable. The lawsuit, filed in July 2026, seeks to represent all affected tenants. UDR has previously acknowledged using YieldStar as one tool among others in its decision-making.
- Company involved
- UDR, Inc.
- AI system involved
- RealPage YieldStar
1 source article · read the reporting →
SEC warns public of deep fake investment scams featuring Lance Gokongwei
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 pilot of Sapience monitoring software causes employee stress
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.
- Company involved
- Barclays
- AI system involved
- Sapience employee monitoring software
10 source articles · read the reporting →
Guangxi homeowners lose homes in facial recognition fraud
Over 10 homeowners in Guangxi, China, were defrauded by a real estate agent who used the government's '邕e登' app to transfer their property without consent. The agent tricked them into using facial recognition for what they thought was file checking, but instead the system processed property transfers. The agent has been arrested and the case is under investigation. The local government has restricted the properties and plans to upgrade the app's security.
- Company involved
- 南宁市自然资源局
- AI system involved
- 邕e登
10 source articles · read the reporting →
LA's VI-SPDAT housing scoring system gives lower priority to Black and Latino people
The Los Angeles Homeless Services Authority uses the VI-SPDAT scoring system to prioritise unhoused people for subsidised permanent housing. An investigation by The Markup found that Black and Latino people consistently receive lower vulnerability scores than White people, leading to lower priority for housing. The agency has acknowledged the racial disparities and is working on a new tool, but continues to use the current system.
- Company involved
- Los Angeles Homeless Services Authority
- AI system involved
- VI-SPDAT
10 source articles · read the reporting →
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 →
Facebook Allowed Age-Targeted Credit Card Ads Violating Its Policy
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.
- Company involved
- Facebook
- AI system involved
- Facebook Ad Platform
9 source articles · read the reporting →
TOV Realty, LLC v. Suarez; Kosel Equity, LLC v. MacGregor (SC Connecticut): AI-hallucinated content in court filing, 6 hours CLE;…
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
- Company involved
- GLG Law LLC
- AI system involved
- ChatGPT
1 source article · 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 →
Southland Homes & Real Estate and Investment, LLC v. Lam (SC California): AI-hallucinated content in court filing, Monetary Sanctions; Bar…
The AI system generated legal briefs containing fabricated case citations, which were filed in court, affecting the court and the opposing party.
1 source article · read the reporting →
EvenUp AI errors in personal injury demand letters lead to scrutiny
EvenUp, a legal tech startup valued at $1 billion, uses AI to draft personal injury demand letters. Former employees revealed that the AI system frequently makes errors, including missing injuries and fabricating medical conditions. The company defends its hybrid approach with human oversight, but critics allege overpromised AI capabilities.
- Company involved
- EvenUp
6 source articles · read the reporting →
