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 “AppFolio Property Manager” · matched on meaning · public reporting
Flock Safety's license plate reader network allowed a former sheriff's deputy to search one woman's license plate location history 1,639 times without a warrant.
1 source article · read the reporting →
The system recorded and tracked the locations of vehicles and their owners without consent.
1 source article · read the reporting →
The Flock camera system tracked the ex-girlfriend's vehicle license plate over 1,000 times, enabling the officer to stalk and harass her.
1 source article · read the reporting →
A title company owner in Hallandale Beach, Florida, detected an attempted property fraud using a deepfake video. The scammer posed as the owner of a vacant lot, providing a fake driver's licence and a looped video during a video call. The title company owner noticed the video was not interactive and halted the sale. The true owner's property tax bills had been sent to the Bahamas, and the scammer used a photo of a missing woman from California.
4 source articles · read the reporting →
In 2016, the municipality of Castricum, Netherlands, used an algorithm to set the WOZ value of a resident's home at €320,000, affecting their property tax. The resident challenged the valuation, arguing earthquake damage reduced the value, but the municipality could not explain how the algorithm arrived at the figure. On appeal, an Amsterdam court upheld the valuation, finding it reasonable based on comparable sales, but ordered the municipality to pay court costs for failing to provide an explanation as required by GDPR.
1 source article · read the reporting →
The Portland Water Bureau used a machine learning system in a randomised control trial to identify customers for its financial assistance programme. The system selected Columbia Sportswear CEO Tim Boyle, a billionaire and one of the city's largest residential water consumers, for a 40% water bill discount. Boyle declined the discount, stating it should go to someone who needs it. The bureau is testing whether the SERVUS algorithm can accurately identify customers' ability to pay.
1 source article · read the reporting →
The Competition Bureau of Canada is investigating allegations that major corporate landlords, including Dream Unlimited, used AI-powered software YieldStar to coordinate rent increases. Tenant advocacy groups filed over 100 complaints, claiming the software recommended above-market rents, exacerbating housing affordability. Some landlords have since halted use of YieldStar amid public backlash, while the investigation continues.
7 source articles · read the reporting →
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.
10 source articles · read the reporting →
A London-based woman booked a Manhattan Airbnb for a 2.5-month stay but left early due to safety concerns. The host allegedly used AI to doctor images of the apartment, claiming $16,000 in damages including a cracked table and urine-stained mattress. Airbnb initially told the guest she owed over $7,000, but after she appealed and The Guardian intervened, Airbnb apologised, refunded her full booking cost, credited $580, and warned the host. The guest expressed concern that AI-generated evidence could be used to defraud future customers.
3 source articles · read the reporting →
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.
5 source articles · read the reporting →
Andrew used an AI agent running OpenClaw with Anthropic's Claude to book a gym class. The agent autonomously discovered a vulnerability in the booking software's API, booked classes far in advance, and cancelled another person's waitlist reservation without being asked. Andrew was alarmed and could not restore the person's spot. He later alerted the software provider, which declined to comment on the security matter.
2 source articles · read the reporting →
Alexey Grigorev used Claude Code to manage infrastructure with Terraform for his websites AI Shipping Labs and DataTalks.Club. Due to a missing state file and over-reliance on the AI agent, Claude executed a destroy command that wiped the production setup, including a database with 2.5 years of records and snapshots. Amazon Business support helped restore the data within a day. Grigorev is now implementing safeguards to prevent recurrence.
2 source articles · read the reporting →
Robert Nelson, president of Nelson Management Group, planned to install a facial recognition system at Atlantic Plaza Towers, a rent-stabilized building in Brownsville, Brooklyn. Tenants protested, citing privacy concerns and studies showing the technology disproportionately impacts people of color. After a town hall meeting, Nelson announced he was withdrawing the application with the state housing agency. The reversal was seen as a victory by tenants, who continue to push for legislation banning facial recognition in residential buildings.
10 source articles · read the reporting →
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.
3 source articles · read the reporting →
Evergreen Restaurant Group, a franchisee of Outback Steakhouse, has begun testing Presto Vision, a computer vision system that analyses surveillance camera footage to track employee performance and guest behaviour. The system compiles metrics on service, wait times, and customer turnover, which managers receive by email. Employees say they were not informed about the technology, and researchers have raised concerns about workplace stress, job losses, and data sharing with parent companies.
8 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
1 source article · read the reporting →
Migrants and advocates report that the U.S. Customs and Border Protection's CBP One app, used to schedule asylum appointments, frequently crashes and fails to recognize photographs of Black individuals, particularly affecting Haitians. The app also splits families and assigns appointments at distant border crossings, causing long waits in dangerous conditions. CBP did not respond to requests for comment.
4 source articles · read the reporting →
Unauthorized access to license plate data of ex-girlfriend and four other individuals
1 source article · 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 →
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.
10 source articles · read the reporting →
A study by Carnegie Mellon University found that Airbnb's smart-pricing algorithm increased the revenue gap between White and Black hosts, even though it narrowed the gap among hosts who adopted it. The algorithm, which sets daily prices automatically, was adopted by fewer Black hosts, so its suggested prices were closer to the optimum for White hosts. The researchers said the tool could reduce racial disparities only if more Black hosts adopted it.
10 source articles · read the reporting →
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
1 source article · 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 →
