The record

Where automated decisions went wrong

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.

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69 incidents closest to “SafeRent Solutions” · matched on meaning · public reporting

WF-CESBK714 Oct 2024

Portland Water Bureau AI pilot offers discount to billionaire CEO

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.

Company involved
Portland Water Bureau
AI system involved
Smart Discount Program

1 source article · read the reporting →

WF-D9MV7M10 Aug 2023

Pak 'n' Save AI app generated dangerous recipes including chlorine gas

Pak 'n' Save's Savey Meal-bot, an AI-powered recipe generator, produced dangerous suggestions such as chlorine gas and bleach-infused dishes when users entered non-food items. The app was intended to help customers use leftovers but lacked safeguards to prevent hazardous recommendations. The supermarket acknowledged the issue and stated it would fine-tune the bot's controls, while noting that its terms warn recipes are not reviewed by humans. No injuries were reported.

Company involved
Pak 'n' Save
AI system involved
Savey Meal-bot

1 source article · read the reporting →

Canada Investigates Landlords' Use of AI Rent-Setting Software YieldStar

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.

Company involved
Dream Unlimited
AI system involved
YieldStar

7 source articles · read the reporting →

WF-ZTR26N1 Nov 2023

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 →

WF-MH8ZGZ1 Jan 2025

Airbnb apologises after host used AI-doctored photos to claim fake damages

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.

Company involved
Airbnb

3 source articles · read the reporting →

WF-FHYMZF12 Mar 2025

NSW Reconstruction Authority data breach exposes 2031 people's info via ChatGPT

A former temporary staff member of the NSW Reconstruction Authority uploaded personal information of 2031 Northern Rivers Resilient Homes Program applicants to ChatGPT without authorisation. The data included names, contact details, dates of birth, and sensitive health information. The breach occurred between 12 and 15 March 2025. The authority has notified affected individuals, reported the breach to the NSW Privacy Commissioner, and implemented measures to prevent future unauthorised use of AI tools.

Company involved
NSW Reconstruction Authority
AI system involved
ChatGPT

2 source articles · read the reporting →

Arity collected drivers' data via apps for insurance scores

Popular smartphone apps including Life360, MyRadar and GasBuddy reportedly shared users' location and motion data with Arity, an Allstate-owned company. Arity used the data to calculate driving scores that could be sold to car insurers to set rates. Users were said not to be clearly informed that their data would be used for insurance pricing. Life360 and Arity stated that users had to opt in and that no personally identifiable driving data was shared without consent.

Company involved
Arity
AI system involved
Arity IQ network

2 source articles · read the reporting →

WF-FSUUWV6 Apr 2018

Durham Police uses Experian Mosaic data in HART AI risk tool

Durham Constabulary developed the Harm Assessment Risk Tool (HART), a machine learning algorithm that assesses the recidivism risk of offenders. The tool uses 34 data categories including criminal history, age, gender and two types of postcode, one sourced from Experian's Mosaic marketing segmentation system. Big Brother Watch alleges that using such commercial consumer behaviour data to inform custody decisions risks prejudice and disproportionate targeting of deprived neighbourhoods. The force has stated it is refreshing the model with an aim to remove one of the postcode predictors.

Company involved
Durham Constabulary
AI system involved
Harm Assessment Risk Tool (HART)

9 source articles · read the reporting →

WF-YFC2FF29 Oct 2015

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 →

WF-XMHLUZ1 Jul 2018

Brooklyn landlord abandons facial recognition plan after tenant protests

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.

Company involved
Nelson Management Group

10 source articles · read the reporting →

WF-5919YN1 Sep 2019

Booking.com still misleading consumers with false '1 room left' claims

Booking.com continues to display misleading scarcity messages on its hotel booking platform, claiming that only one room is left when in fact many more are available. Which? Travel found that five out of ten such claims were inaccurate, with one example showing 34 rooms still available at a London hotel. The Competition and Markets Authority had given Booking.com until 1 September 2019 to change its practices, but the platform has not fully complied. Booking.com says it has worked to implement the commitments agreed with the CMA.

Company involved
Booking.com

10 source articles · read the reporting →

WF-VRMEET23 Aug 2024

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 →

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 →

WF-2GUL3Q23 Dec 2025

Kalala v. Coopérative d'habitation La Fraternité Micheloise (CS Québec): AI-hallucinated content in court filing, Monetary Sanction

The AI generated fabricated case law that was included in a court filing, misleading the court and resulting in sanctions against the litigant.

1 source article · read the reporting →

WF-2PHX151 Jan 2020

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 →

Titus Henderson files civil rights lawsuit against COMPAS

Titus Henderson, a prisoner, filed a civil rights lawsuit against COMPAS and other defendants in the U.S. District Court for the Western District of Wisconsin on July 16, 2018. The lawsuit alleges discrimination related to the use of the COMPAS risk assessment tool. The case is ongoing.

AI system involved
COMPAS

6 source articles · read the reporting →

WF-GP9JON1 Jan 2013

Allstate's proposed retention model charged big spenders more in Maryland

Allstate proposed an auto insurance rate adjustment plan in Maryland using a retention model algorithm that varied premium changes based on existing premiums. The algorithm would have increased rates up to 20% for customers already paying the highest premiums while capping increases at 5% for others, and would have denied meaningful discounts to thousands owed reductions. The Maryland Insurance Administration rejected the plan as discriminatory, but Allstate claims it was withdrawn and has continued proposing similar models elsewhere. The proposal never took effect in Maryland.

Company involved
Allstate Corporation
AI system involved
retention model

9 source articles · read the reporting →

WF-W8NDC11 Jul 2015

New York City's McKinsey-led jail violence program manipulated data, violence increased

New York City paid McKinsey & Company $27.5 million to reduce violence at Rikers Island jail complex. McKinsey designed a predictive algorithm called the Housing Unit Balancer and Restart housing units, but jail officials and McKinsey consultants stacked the units with compliant inmates to artificially lower violence numbers. Violence actually increased by nearly 50% during the project. The city eventually decided to close Rikers.

Company involved
New York City Department of Correction
AI system involved
Housing Unit Balancer (HUB)

10 source articles · read the reporting →

Study finds Italian car insurers charge more based on birthplace

A study by the Universities of Padua, Udine and Carnegie Mellon found that Italian car insurers, including Genertel, Mps, Quixa and Con.Te, use birthplace and citizenship in pricing algorithms, charging some drivers over €1,000 more. The practice was ruled against in a 2018 decree involving Linear, but the study says it continues. The companies contacted denied or explained the findings.

Company involved
Genertel, Mps, Quixa, Con.Te

8 source articles · read the reporting →

WF-E7VSR21 Jan 2021

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 →

WF-YQ3F4O1 Nov 2015

Airbnb smart-pricing algorithm increased racial revenue gap, study finds

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.

Company involved
Airbnb
AI system involved
Airbnb smart-pricing algorithm

10 source articles · read the reporting →

WF-SWP73K1 Apr 2023

USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers

The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.

Company involved
United States Postal Service
AI system involved
RRECS

9 source articles · read the reporting →

WF-LBFMV812 Dec 2014

Amazon sellers lose thousands after RepricerExpress pricing glitch

A software glitch in RepricerExpress's automated repricing system caused products sold by Amazon sellers to be priced at 1p, leading to significant financial losses for the sellers. RepricerExpress apologised but did not offer compensation, while Amazon said it had reached out to affected sellers but many reported no response. Some sellers have instructed lawyers to take legal action against RepricerExpress and Amazon.

Company involved
RepricerExpress
AI system involved
RepricerExpress

10 source articles · read the reporting →

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