AI Incident Database
Browse AI incidents
Every incident record (metadata only) from the weekly snapshot of 2026-09-07. Filter, then export the selection with its licence attached; each row links to the full record and its reports.
Filter incidents (1 active)
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SN Technologies Reportedly Lied to a New York State School District about Its Facial and Weapon Detection Systems’ Performance AIID ↗
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.
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Facebook Feed Algorithms Exposed Low Digitally Skilled Users to More Disturbing Content AIID ↗
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.
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Opaque Fraud Detection Algorithm by the UK’s Department of Work and Pensions Allegedly Discriminated against People with Disabilities AIID ↗
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.
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Amazon’s "Time Off Task" System Made False Assumptions about Workers' Time Management AIID ↗
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.
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New Jersey Police Wrongful Arrested Innocent Black Man via FRT AIID ↗
Woodbridge Police Department falsely arrested an innocent Black man following a misidentification by their facial recognition software, who was jailed for more than a week and paid thousands of dollar for his defense.
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Amazon's Rekognition Falsely Matched Members of Congress to Mugshots AIID ↗
Rekognition's face comparison feature was shown by the ACLU to have misidentified members of congress, and particularly members of colors, as other people who have been arrested using a mugshot database built on publicly available arrest photos.
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Man Arrested For Sock Theft by False Facial Match Despite Alibi AIID ↗
A man was arrested for theft of socks from a TJ Maxx store under the guise of an eyewitness ID case, after the local police asked the store's security guard to confirm the facial recognition match produced using surveillance footage, despite him having an alibi at the time of the theft.
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Uber Locked Indian Drivers out of Accounts Allegedly Due to Facial Recognition Fails AIID ↗
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.
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Passport checker Detects Asian man's Eyes as Closed AIID ↗
New Zealand passport robot reader rejects the application of an applicant with Asian descent and says his eyes are closed.
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.
Frequently asked questions
What is recorded in each incident?
What happened, when, who was involved as developer or deployer, who was harmed, the sectors and countries affected, and the domain and subdomain the harm falls under. Incidents are mirrored from the AI Incident Database and each links back to its source record.
Does an incident mean wrongdoing was proven?
No. These are reported incidents, not findings of liability. Entities named in a report are named as reported, allegations are marked as alleged, and nothing here is a legal determination.
How current is the incident data?
It syncs directly from the AI Incident Database several times a day, so a new incident usually appears within hours. Each record carries the date it was last synced, and the snapshot date is shown on the page.
Does this page include the full incident reports?
No. The report texts are outside the licence this data is shared under, so only the metadata and the classifications appear here. Every row links to the original incident record, which carries the reports themselves.