AI Incidents
Real-world cases where AI systems caused harm, classified by risk domain and entity. Data sourced from
AIID and classified by MIT AI Risk Initiative. CC BY-SA 4.0
961 incidents
Social Media's Automated Word-Flagging without Context Shifted Content Creators' Language Use
TikTok's, YouTube's, Instagram's, and Twitch's use of algorithms to flag certain words devoid of context changed content creators' use of everyday language or discussion about certain topics in fear of their content getting flagged or auto-demonetized by mistake.
Uber Locked Indian Drivers out of Accounts Allegedly Due to Facial Recognition Fails
Uber drivers in India reported being locked out of their accounts allegedly due to Real-Time ID Check's facial recognition failing to recognize appearance changes or faces in low lighting conditions.
High-Toxicity Assessed on Text Involving Women and Minority Groups
Google's Perspective API, which assigns a toxicity score to online text, seems to award higher toxicity scores to content involving non-white, male, Christian, heterosexual phrases.
Wikipedia Vandalism Prevention Bot Loop
Wikipedia bots meant to remove vandalism clash with each other and form feedback loops of repetitve undoing of the other bot's edits.
Honda's CMBS False Positives Allegedly Caused Accidents to Customers
Honda's Collision Mitigation Braking System (CMBS) allegedly caused accidents to consumers due to frequent instances of false obstacle detection.
PimEyes's Facial Recognition AI Allegedly Lacked Safeguards to Prevent Itself from Being Abused
PimEyes offered its subscription-based AI service to anyone in the public to search for matching facial images across the internet, which critics said lacked public oversight and government rules to prevent itself from misuse such as stalking women.
RealPage's YieldStar Allegedly Facilitated Rent Price Coordination Among Canadian Landlords
RealPage’s YieldStar algorithm is alleged to have enabled Canadian landlords to coordinate rental pricing by utilizing sensitive, non-public market data. The software has been accused of contributing to rent increases in non-rent-controlled units through purported collusion and artificial price inflation. Tenants have reported significant rent hikes, which they attribute to landlords' use of the algorithm.
Amazon India Allegedly Rigged Search Results to Promote Own Products
Amazon India allegedly copied products and rigged search algorithm to boost its own brands in search ranking, violating antitrust laws.
Alexa Plays Pornography Instead of Kids Song
An Amazon Echo Dot using the Amazon Alex software started to play pornographic results when a child asked it to play a song.
Reinforcement Learning Reward Functions in Video Games
OpenAI published a post about its findings when using Universe, a software for measuring and training AI agents to conduct reinforcement learning experiments, showing that the AI agent did not act in the way intended to complete a videogame.
“Amazon’s Choice” Algorithm Failed to Recommend Functional Products and Prone to Review Manipulation
Amazon’s “Amazon’s Choice” algorithm recommended poor-quality defective products and were reportedly susceptible to manipulation by inauthentic reviews.
Passport checker Detects Asian man's Eyes as Closed
New Zealand passport robot reader rejects the application of an applicant with Asian descent and says his eyes are closed.
Poor Performance of Tesla Factory Robots
The goal of manufacturing 2,500 Tesla Model 3's per week was falling short by 500 cars/week, and employees had to be "borrowed" from Panasonic in a shared factory to help hand-assemble lithium batteries for Tesla.
Government Deployed Extreme Surveillance Technologies to Monitor and Target Muslim Minorities in Xinjiang
A suite of AI-powered digital surveillance systems involving facial recognition and analysis of biometric data were deployed by the Chinese government in Xinjiang to monitor and discriminate local Uyghur and other Turkic Muslims.
Tesla FSD Reportedly Increased Crash Risk, Prompting Recall
A component of Tesla Full Self Driving system was deemed by regulators to increase crash risk such as by exceeding speed limits or by traveling through intersections unlawfully or unpredictably, prompting recall for hundreds of thousands of vehicles.