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
AI-Generated Airline Reviews Allegedly Mislead Consumers and Undermine Trust
AI-generated reviews of airline services have reportedly increased by 189% since the release of ChatGPT, with certain carriers like China Southern Airlines and SouthWest Airlines disproportionately affected, according to a study by Originality.ai.
Blogger Milagro Gramz Allegedly Promoted AI-Generated Pornographic Deepfake Targeting Megan Thee Stallion
A blogger, Milagro Gramz, was reportedly found liable for promoting and amplifying a sexually explicit AI-generated deepfake depicting rapper Megan Thee Stallion as part of an online harassment campaign linked to misinformation about her 2020 shooting. Court filings alleged the blogger encouraged followers to view the altered content and spread defamatory claims. In December 2025, a federal jury reportedly awarded damages for harassment and promotion of the deepfake.
AI Models Reportedly Found to Provide Misinformation on Election Processes in Spanish
An analysis reportedly found that multiple AI models provided inaccurate responses to election-related questions, with 52% of Spanish-language answers and 43% of English-language answers containing misinformation or omissions. Errors included misidentifying voting processes and providing information about foreign elections.
Alaska Education Department Reportedly Published Policy Featuring Erroneous AI-Generated Citations
In October 2024, Alaska’s Education Commissioner Deena Bishop allegedly used generative AI to draft a school cellphone policy, resulting in reportedly fabricated citations of non-existent studies. The document, which did not disclose AI use, was shared with the state Board of Education, and despite reported corrections, AI-generated errors remained in the final resolution.
AI Transcription Tool Whisper Reportedly Inserting Fabricated Content in Medical Transcripts
OpenAI's AI-powered transcription tool Whisper, used to translate and transcribe audio content such as patient consultations with doctors, is advertised as having near “human level robustness and accuracy.” However, software engineers, developers and academic researchers have alleged that it is prone to making up chunks of text or even entire sentences and that some of the hallucinations can include racial commentary, violent rhetoric, and even imagined medical treatments.
Purported AI-Generated Content Circulates Widely in Sudan Amid Civil Conflict and Information Vacuum
Purported AI-generated deepfakes have circulated widely on Sudanese social media during the ongoing conflict, allegedly spreading false claims, impersonating public figures, and distorting political discourse. Reported incidents include fabricated videos and audio used to mislead or satirize, some of which gained traction among journalists and officials. Observers warn that poor detection tools and limited moderation may be enabling the manipulation of public trust.
NYC Subway AI Weapons Scanners Yield High False Positive Rate and Detect No Guns in Month-Long Pilot Test
NYC implemented an AI enabled weapons scanner for a month-long pilot with limited success. Despite not finding any weapons during the September 2024 testing phase, there were 118 false positives in which a person was searched under suspicion of carrying a weapon with no actual gun detections.
AI Detection Tools Allegedly Misidentify Neurodivergent and ESL Students' Work as AI-Generated in Academic Settings
AI writing detection tools have reportedly continued to falsely flag genuine student work as AI-generated, disproportionately impacting ESL and neurodivergent students. Specific cases include Moira Olmsted, Ken Sahib, and Marley Stevens, who were penalized despite writing their work independently. Such tools reportedly exhibit biases, leading to academic penalties, probation, and strained teacher-student relationships.
Video with Reportedly AI-Generated Media Purported to Show Croatian Physician Alemka Markotić Endorsing Hondrosol After False Murder Claim on Facebook
A Facebook video purported to show Croatian infectious-disease physician Alemka Markotić and TV host Zoran Šprajc discussing her supposed murder and endorsing a joint-pain product called Hondrosol. The clip and linked article were reported to use AI-generated or manipulated media and to mimic Croatian government branding, directing users toward a scam purchase page.
Purported Deepfake Allegedly Misattributes Claims to Former Student in Attack on Vice-Presidential Candidate Tim Walz
A purported viral deepfake accused Democratic vice-presidential nominee Tim Walz of misconduct by using the stolen identity of former student Matthew Metro. Circulated on X and other platforms, the video reportedly reached millions before being flagged for manipulation. U.S. intelligence later revealed it and three other similar events were part of the Russian disinformation campaign Storm-1516, whose aim is to disrupt the 2024 elections.
Alleged AI-Generated Photo Alteration Leads to Inappropriate Modifications in Speaker's Conference Picture
An AI image expansion tool used by a conference organizer unintentionally altered Elizabeth Laraki’s profile picture for a marketing ad, making her blouse appear unbuttoned and showing a fabricated hint of undergarments. The AI generated the lower part of the image when expanding it for vertical formatting. The conference organizers quickly apologized and removed the altered content.
Algorithmic Bias in French Welfare System Allegedly Discriminates Against Marginalized Groups
A coalition of 15 human rights groups has launched legal action against the French government alleging that an algorithm used to detect welfare fraud discriminates against single mothers and disabled people. The algorithm assigns risk scores based on personal data. The process allegedly subjects vulnerable recipients to invasive investigations, violates privacy and anti-discrimination laws, and disproportionately affects marginalized groups.
Alleged License Plate Recognition Errors in Christchurch Lead to Wrongful Parking Fines
An automated license plate recognition (LPR) system at The Landing car park in Christchurch, New Zealand, reportedly issued wrongful fines to dozens of parents dropping off and picking up children. The system allegedly misidentified multiple short visits as prolonged parking, which led to disputed penalties. The operator acknowledged potential errors but continued enforcement.
Portland Water Bureau SERVUS Algorithm Reportedly Allocates Utility Bill Discount to High-Wealth Consumer
The Portland Water Bureau's AI-driven pilot program for water bill discounts is reported to have randomly selected Tim Boyle, a wealthy high-water consumer, for a 40% discount intended for financially struggling customers. The program, developed by SERVUS, is meant to identify underserved individuals by using machine learning.
Infinite Campus AI-Driven Student Risk Model Leads to Cuts in Support for Nevada's Low-Income Schools
An AI system developed by Infinite Campus and deployed by Nevada to identify at-risk students reportedly led to a sharp reduction in the number classified as needing support, dropping from 270,000 to 65,000. The reclassification allegedly caused significant budget cuts in schools serving low-income populations. The drastic reduction in identified at-risk students reportedly left thousands of vulnerable children without resources and support.
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* Oct 2026, ~320 projected full year
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