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
217 incidents
Detroit Police Allegedly Wrongfully Arrested Black Man Due to Purportedly Faulty Facial Recognition Technology
A Black man was allegedly wrongfully detained by the Detroit Police Department as a result of a purportedly false facial recognition technology (FRT) result.
SN Technologies Reportedly Lied to a New York State School District about Its Facial and Weapon Detection Systems’ Performance
SN Technologies allegedly misled Lockport City Schools about the performance of its AEGIS face and weapons detection systems, downplaying error rates for Black faces and weapon misidentification.
Facebook Feed Algorithms Exposed Low Digitally Skilled Users to More Disturbing Content
Facebook feed algorithms were known by internal research to have harmed people having low digital literacy by exposing them to disturbing content they did not know how to avoid or monitor.
Apple Card's Credit Assessment Algorithm Allegedly Discriminated against Women
Apple Card's credit assessment algorithm was reported by Goldman-Sachs customers to have shown gender bias, in which men received significantly higher credit limits than women with equal credit qualifications.
Job Screening Service Halts Facial Analysis of Applicants
In January 2021, HireVue removed the controversial AI expression tracking tool from its virtual job interview software.
Optum Algorithmic Health Risk Scores Reportedly Underestimated Black Patients' Needs
Researchers analyzing an Optum algorithm used by a large academic hospital reportedly found evidence that it tended to under-predict the health care needs of Black patients, which in turn appeared to result in lower prioritization for extra care programs compared with white patients exhibiting similar health profiles.
Opaque Fraud Detection Algorithm by the UK’s Department of Work and Pensions Allegedly Discriminated against People with Disabilities
People with disabilities were allegedly disproportionately targeted by a benefit fraud detection algorithm which the UK’s Department of Work and Pensions was urged to disclose.
Grab Tweaked Matchmaking Algorithm, Providing Preferential Treatment to Drivers Registered with Affiliated Car Rental Service
Grab Indonesia was fined by the Indonesian Competition Commission (KPPU) for unfairly favoring drivers who rented cars via the Grab-affiliated company Teknologi Pengangkutan Indonesia (TPI), including offering more rides via their matchmaking algorithm.
Detroit Police Wrongfully Arrested Black Man Due To Faulty Facial Recognition
A Black man was wrongfully detained by the Detroit Police Department as a result of a false facial recognition (FRT) result.
Amazon’s "Time Off Task" System Made False Assumptions about Workers' Time Management
Amazon’s warehouse worker “time off task" (TOT) tracking system was used to discipline and dismiss workers, falsely assuming workers to have wasted time and failing to account for breaks or equipment issues.
TikTok’s “For You” Algorithm Exposed Young Users to Pro-Eating Disorder Content
TikTok’s young users were allegedly exposed to community-guideline-violating pro-eating disorder content on their algorithmically curated “For You” page that serves videos from any user on its platform.
Facebook Allegedly Failed to Police Hate Speech Content That Contributed to Ethnic Violence in Ethiopia
Facebook allegedly did not adequately remove hate speech, some of which was extremely violent and dehumanizing, on its platform including through automated means, contributing to the violence faced by ethnic communities in Ethiopia.
Workday's AI Tools Allegedly Enabled Employers to Discriminate against Applicants of Protected Groups
Workday's algorithmic screening systems were alleged in a lawsuit allowing employers to discriminate against African-Americans, people over 40, and people with disabilities.
Algorithm to Distribute Social Welfare Reported for Oversimplifying Economic Vulnerability
Takaful cash transfer program's algorithm which ranks families by their economic vulnerability level to determine financial assistance reportedly oversimplified people's economic situation, fueling social tension and perceptions of unfairness.
Facebook's Ad Delivery Reportedly Excluded Audience along Racial and Gender Lines
Facebook's housing and employment ad delivery process allegedly resulted in skews in exposure for some users along demographic lines such as gender and racial identity.