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.
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BBC Reporter's Twin Brother Cracked HSBC's Voice ID Authentication AIID ↗
HSBC’s voice recognition authentication system was fooled after seven repeated attempts by a BBC reporter's twin brother who mimicked his voice to access his bank account.
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Facebook Reportedly Outed Sex Workers through Friend Recommendations AIID ↗
Facebook's "People You May Know" feature reportedly outed sex workers by recommending clients to their personal accounts or family members to their business accounts with no option to opt out.
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ByteDance Allegedly Trained "For You" Algorithm Using Content Scraped without Consent from Other Social Platforms AIID ↗
ByteDance allegedly scraped short-form videos, usernames, profile pictures, and descriptions of accounts on Instagram, Snapchat, and other sources, and uploaded them without consent on Flipagram, TikTok’s predecessor, in order to improve its “For You” algorithm's performance on American users.
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PimEyes's Facial Recognition AI Allegedly Lacked Safeguards to Prevent Itself from Being Abused AIID ↗
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.
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Facial Recognition Smart Phone App 'Blue Wolf' Reportedly Monitored Palestinians in the West Bank AIID ↗
A surveillance program involving facial recognition and algorithmic recommendations, Blue Wolf, was reportedly deployed by the Israeli military to monitor Palestinians in the West Bank.
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Facebook's Friend Suggestion Feature Recommends Patients of Psychiatrist to Each Other AIID ↗
Facebook's "People You May Know" (PYMK) feature was reported by a psychiatrist for recommending her patients as friends through recommendations, violating patients' privacy and confidentiality.
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Facebook's 'Tag Suggestions' Allegedly Stored Biometric Data without User Consent AIID ↗
Facebook's initial version of the its Tag Suggestions feature where users were offered suggestions about the identity of people's faces in photos allegedly stored biometric data without consent, violating the Illinois Biometric Information Privacy Act.
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Google's Face Grouping Allegedly Collected and Analyzed Users' Facial Structure without Consent, Violated BIPA AIID ↗
A class-action lawsuit alleged Google failing to provide notice, obtain informed written consent, or publish data retention policies about the collection, storage, and analysis of its face-grouping feature in Google Photos, which violated Illinois Biometric Information Privacy Act (BIPA).
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Oracle's Algorithmic Data Processing System Alleged as Unlawful and Violating Privacy Rights AIID ↗
Oracle's automated system involving algorithmic data processing was alleged in a lawsuit to have been unlawfully collecting personal data from millions of people and violating their privacy rights.
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Facial Recognition Researchers Allegedly Used YouTube Videos of Transgender People Without Consent AIID ↗
YouTube videos of transgender people used by researchers to study facial recognition during gender transitions were allegedly used and distributed without permission.
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Machine Personal Assistants Failed to Maintain Social Norms AIID ↗
During an experiment of software personal assistants at the Information Sciences Institute (ISI) at the University of Southern California (USC), researchers found that the assistants violated the privacy of their principals and were unable to respect the social norms of the office.
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Target Suggested Maternity-Related Advertisements to a Teenage Girl's Home, Allegedly Correctly Predicting Her Pregnancy via Algorithm AIID ↗
Target recommended maternity-related items to a family in Atlanta via ads, allegedly predicting their teenage daughter’s pregnancy before her father did, although critics have called into question the predictability of the algorithm and the authenticity of its claims.
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.