Unforeseen Collision: Delhi's Debut Driverless Metro Halts Operations
In an unexpected incident, the first driverless metro train in Delhi experienced a collision, leading to a temporary halt of operations by t...
Read moreEvidence-based Transparent For governance
In an unexpected incident, the first driverless metro train in Delhi experienced a collision, leading to a temporary halt of operations by t...
Read moreIn a recent event, a driverless train operating on the Delhi Metro's Magenta Line collided with a wall during a trial run. The incident rais...
Read moreIn an alarming turn of events, a Delhi Metro train during a trial run reportedly broke through a wall at Kalindi Kunj. The mishap raises con...
Read moreA collision between two driverless trains on Delhi's Metrorail network has been attributed to human error by the transit authority. Four emp...
Read moreSix days prior to the inauguration by PM Modi, an unexpected incident occurred on Delhi Metro's Magenta Line when a driverless train collide...
Read moreRecent reports suggest that a collision occurred on the Magenta Line of the Delhi Metro Rail Network. However, the Delhi Metro Rail Corporat...
Read moreA startling accident took place today on the Delhi Metro's driverless Magenta line, as a train reportedly crashed through a wall. Officially...
Read moreRecent incidents involving facial recognition systems, specifically the 'twin test', have raised concerns about their reliability and potent...
Read moreExplore the AI-powered Face ID feature on Apple's iPhone X and learn how it adapts to changes in facial features such as beards, makeup, and...
Read moreWe explored the limits of Apple's Face ID technology on the iPhone X by testing it with identical twins, revealing insights into the boundar...
Read moreExplore the factors that could lead to iPhone X's Face ID malfunctioning, ensuring responsible AI governance for safe and secure user experi...
Read moreIn a unique incident, Russian identical twins have decided to sue Apple for the iPhone X’s Face ID system failing to distinguish between the...
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.