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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92 incidents closest to “HouseCanary Appraiser” · matched on meaning · public reporting

WF-CKAGAU15 Oct 2025

Yasiel Puig Valdes v. All3Media America, LLC, et al. (SCA California (Los Angeles)): AI-hallucinated content in court filing, Referral

The AI generated fake legal citations that were included in a court filing, potentially harming the plaintiff's case.

AI system involved
ChatGPT

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 →

Clearview AI tested facial recognition surveillance cameras with UFT and Rudin

Clearview AI, the facial recognition company that scraped billions of photos from social media, developed a surveillance camera system under the name Insight Camera. The system was tested by the United Federation of Teachers and Rudin Management in New York City. The UFT used it to identify individuals who had made threats and prevent them from entering its offices. Clearview did not respond to requests for comment.

Company involved
Clearview AI
AI system involved
Insight Camera

9 source articles · read the reporting →

WF-52Q1NZ26 Feb 2021

Qoves facial assessment tool ranks journalist's attractiveness and suggests procedures

Tate Ryan-Mosley, a journalist at MIT Technology Review, used Qoves Studio's AI facial assessment tool, which automatically scored her face and listed perceived flaws such as smile lines and under-eye bags. The tool recommended skin-care products and paid surgical consultation reports. She also tried Megvii's Face++ beauty-scoring system, which gave her two percentage attractiveness scores. The article raises concerns that such algorithms are inaccurate, biased and not transparently used by social media platforms.

Company involved
Qoves Studio
AI system involved
Facial Assessment Tool

9 source articles · read the reporting →

WF-DLCQWL4 Nov 2024

CanLII sues Caseway AI for scraping legal database

The Canadian Legal Information Institute (CanLII) has filed a lawsuit in British Columbia Supreme Court against Caseway AI, alleging that the company's AI chatbot scraped approximately 3.5 million records from CanLII's database in bulk, violating its terms of service and copyright. CanLII claims it adds value to public court records through hyperlinks and corrections, which it says constitute protected copyrighted work. Caseway AI argues the information is public and accessible elsewhere, and that it did not use CanLII's enhancements. The lawsuit was settled in March 2026, with terms undisclosed.

Company involved
Canadian Legal Information Institute (CanLII)
AI system involved
Caseway

5 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 →

WF-HKN1QB9 Dec 2025

Johnson / Estate of Fisher v. City of Annapolis (D. Maryland): AI-hallucinated content in court filing, (Attorney was dismissed by…

The AI generated fabricated case law and quotes that were included in a court filing, affecting the plaintiffs and the judicial process.

Company involved
City of Annapolis

1 source article · read the reporting →

WF-NC8W6123 Jun 2026

Landberg v City of New York (CA NY (2d)): AI-hallucinated content in court filing, Monetary Sanction

AI-generated fake legal citations were included in a court filing, resulting in monetary sanctions against the attorney and his law firm.

1 source article · 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-DYTSSY24 May 2021

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 →

WF-VU5D658 Apr 2023

California regulator accuses Maxpread Technologies of using AI-generated fake CEO to scam investors

Maxpread Technologies allegedly used an AI-generated avatar to pose as its CEO in a YouTube video to deceive investors. The California DFPI issued cease and desist letters to Maxpread and four other companies for offering unqualified securities and making false promises. The regulator claims the companies promised high daily returns using AI trading, but these claims were false. Maxpread did not respond to requests for comment.

Company involved
Maxpread Technologies

8 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 →

WF-VR6R0O1 Aug 2019

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 →

WF-U4WH351 Jun 2020

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 →

WF-1FBZ1K11 Jun 2026

Quinteros v. Harbor Distributing, LLC (CA California (1d)): AI-hallucinated content in court filing, Monetary Sanction; Bar referral

AI generated hallucinated legal citations that were filed in court, misleading the court and opposing counsel.

Company involved
Lipeles Law Group

1 source article · read the reporting →

WF-PC7X5F12 Aug 2026

JMOR Properties v. Artist Alley Townhomes et al. (CA Florida (4d)): AI-hallucinated content in court filing, Bar Referral

The AI generated fabricated legal citations that were included in a court filing, affecting the court and the opposing party.

1 source article · read the reporting →

WF-AJLVH75 Aug 2026

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 →

WF-CHXK5I7 Feb 2025

OpenAI's Operator AI spent $31 on a dozen eggs for a journalist

Geoffrey A. Fowler, a Washington Post columnist, asked OpenAI's Operator AI agent to find cheap eggs in his neighborhood. Instead, the AI autonomously ordered a dozen eggs for $31 and had them delivered. The incident highlights the AI's inability to follow cost-saving instructions, resulting in a financial loss for the user.

Company involved
OpenAI
AI system involved
Operator

3 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 →

42,900 OpenClaw AI agents exposed, 15,200 vulnerable to RCE

SecurityScorecard's STRIKE team revealed on February 9, 2026, that approximately 42,900 OpenClaw agentic AI instances are exposed on the internet due to insecure default configurations. Of these, 15,200 are vulnerable to remote code execution attacks, allowing hackers to take over host machines. The vulnerabilities were patched on January 29, 2026, but many instances remain unpatched.

AI system involved
OpenClaw

5 source articles · read the reporting →

WF-UF6BMA1 Jan 2018

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 →

MAA, JBG to pay DC $9.3M total to settle RealPage case - Multifamily Dive

The system set rent prices for tenants, causing them to pay higher rents.

Company involved
MAA (Mid-America Apartments) and JBG Smith
AI system involved
RealPage Revenue Management Software

1 source article · read the reporting →

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