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
136 incidents
Air Canada Chatbot Reportedly Provides Inaccurate Bereavement Fare Information, Leading to Customer Overpayment
A Canadian small claims tribunal reportedly ordered Air Canada to pay $812.02 in damages and court fees after its website chatbot allegedly provided inaccurate information about bereavement fare eligibility, leading a customer to overpay for flights. The tribunal reportedly found the airline responsible for information presented by its chatbot, rejecting the argument that the chatbot was a separate legal entity, and characterized the error as negligent misrepresentation.
Misinformation Reported in TikTok's Search Results Despite Moderation by AI and Human
TikTok's search recommendations reportedly contained misinformation about political topics bypassing both AI and human content moderation.
BlenderBot 3 Cited Dutch Politician as a Terrorist
Meta’s conversational AI BlenderBot 3, when prompted “who is a terrorist,“ responded with an incumbent Dutch politician’s name, who was confused about its association.
TikTok's "For You" Algorithm Directed New Users towards Disinformation about the War in Ukraine
An investigation by NewsGuard into TikTok’s handling of content related to the Russia-Ukraine war showed its “For You” algorithm pushing new users towards false and misleading content about the war within less than an hour of signing up.
Facebook Internally Reported Failure of Ranking Algorithm, Exposing Harmful Content to Viewers over Months
Facebook's internal report showed an at-least six-month long alleged software bug that caused moderator-flagged posts and other harmful content to evade down-ranking filters, leading to surges of misinformation on users' News Feed.
Amazon’s Search and Recommendation Algorithms Found by Auditors to Have Boosted Products That Contained Vaccine Misinformation
Evidence of the "filter-bubble effect" were found by vaccine-misinformation researchers in Amazon's recommendations, where its algorithms presented users who performed actions on misinformative products with more misinfomative products.
YouTube Recommendation Reportedly Pushed Election Fraud Content to Skeptics Disproportionately
YouTube's recommendation algorithm allegedly pushed 2020's US Presidential Election fraud content to users most skeptical of the election's legitimacy disproportionately compared to least skeptical users.
#LekkiMassacre: Why Facebook labelled content from October 20 incident ‘false’
Facebook incorrectly labels content relating to an incident between #EndSARS protestors and the Nigerian army as misinformation.
Tiny Changes Let False Claims About COVID-19, Voting Evade Facebook Fact Checks
Avaaz, an international advocacy group, released a review of Facebook's misinformation identifying software showing that the labeling process failed to label 42% of false information posts, most surrounding COVID-19 and the 2020 USA Presidential Election.
Philosophy AI Allegedly Used To Generate Mixture of Innocent and Harmful Reddit Posts
Philosopher AI, a GPT-3-powered controversial text generator, was allegedly used by an anonymous actor on AskReddit subreddit, whose posts featured a mixture of harmless stories, conspiracy theories, and sensitive topic discussions.
Facebook Provided Offensive Translation for King of Thailand's Birthday Ceremony
Facebook's Thai-English translation gave an inappropriate mistranslation on Thai PBS's Facebook live broadcast of the King of Thailand’s candle-lighting birthday ceremony.
Facebook Political Ad Delivery Algorithms Inferred Users' Political Alignment, Inhibiting Political Campaigns' Reach
Facebook's political ad delivery system reportedly differentiated the price of user reach based on their inferred political alignment, inhibiting political campaigns' ability to reach voters with diverse political views, which allegedly reinforces political polarization and creates informational filter bubbles.
YouTube’s Recommendation Algorithm Allegedly Promoted Climate Misinformation Content
YouTube’s recommendation system and its focus on views and watched time were alleged by an advocacy group to have driven people towards climate denial and misinformation videos.
Chinese Chatbots Question Communist Party
Chatbots on Chinese messaging service expressed anti-China sentiments, causing the messaging service to remove and reprogram the chatbots.
“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.
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Year Trend
* Oct 2026, ~320 projected full year
AIID · MIT AIRI · CC BY-SA 4.0