DUI Suspect Blames Autopilot: Examining the Role of Responsible AI in Incidents
A Tesla driver, suspected of driving under the influence, claimed that Autopilot was operating the vehicle. This AI incident underscores the...
Read moreEvidence-based Transparent For governance
A Tesla driver, suspected of driving under the influence, claimed that Autopilot was operating the vehicle. This AI incident underscores the...
Read moreThis incident involving an AI-powered security robot malfunctioning near a water fountain underscores the need for safe and secure AI system...
Read moreIncident involving an AI-controlled robot causing harm to a worker at a factory in Manesar, Haryana highlights the importance of safe and se...
Read moreA recent incident involving self-driving cars losing their ability to detect driving lanes due to heavy snowfall underscores the importance...
Read moreExplore this AI incident that highlights the importance of trustworthy self-driving cars in a real-world scenario, where a Google vehicle wa...
Read moreFacebook Incident highlights the importance of safe and secure AI and responsible AI governance. This AI incident maps to the Govern functio...
Read moreExploring an instance of racial bias in the popular AR game Pokemon Go, highlighting the need for responsible AI governance. This AI inciden...
Read moreIncident highlights concerns over fairness in AI evaluations. This AI incident maps to the Govern function in HISPI Project Cerebellum Trust...
Read moreThis AI incident highlights the potential dangers of unregulated facial recognition technology. The Detroit police are facing a lawsuit due...
Read moreIn France, a lawsuit has been initiated against Google over allegations of anti-Semitic results displayed by Google Instant Search. This inc...
Read moreAn incident involving live facial recognition technology tracking minors raises concerns about privacy breaches, potential misuse, and the n...
Read moreAn AI-powered police robot exhibited unwanted behavior when a woman attempted to report a crime, demonstrating the need for trustworthy AI a...
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.