Unauthorized Access to iPhone X via Mask Tricks Face ID: A Case Study on AI Security
This incident demonstrates the importance of robust security measures in AI systems, particularly in biometric authentication like Face ID....
Read moreEvidence-based Transparent For governance
This incident demonstrates the importance of robust security measures in AI systems, particularly in biometric authentication like Face ID....
Read moreIn 1983, Soviet officer Stanislav Petrov made a life-saving decision that prevented global nuclear war. This AI incident maps to the Govern...
Read moreThe tragic crash of Boeing's 737 Max 8 aircraft highlighted a crucial AI safety concern known as 'leaking abstractions'. Understanding this...
Read moreThis AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The arrest of a UK speed trader over his r...
Read moreExplore the Neural Net Tank Urban Legend, a significant AI incident that underscores the importance of safe and secure AI. This incident map...
Read moreIncident involving a Tesla vehicle highlights the importance of trustworthy AI in autonomous driving. This AI incident maps to the Govern fu...
Read moreA driverless Magenta line train in Delhi tragically crashed through a wall today, raising critical questions about AI safety and governance....
Read moreAn intriguing incident occurred in China, where a woman's iPhone X was unlocked not by her, but by her colleague. This raises concerns about...
Read moreThis incident involving an unintended activation of a smart speaker leading to a police raid underscores the importance of trustworthy AI. T...
Read moreExploring potential mechanisms employed by Amazon to ensure their AI assistant, Amazon Echo, remains inactive during commercials. This AI in...
Read moreAn intriguing case of algorithm-based dismissal has left employees puzzled, underscoring the need for robust and transparent AI governance....
Read moreAn unanticipated incident involving a Chinese AI system using face recognition technology inadvertently displayed an advertisement to an ind...
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.