Drowsy Driving Incident Involving Tesla Driver Highlights Need for AI Safety Measures
A recent incident involving a Tesla driver, who was found asleep behind the wheel while the vehicle was traveling at 70mph, underscores the...
Read moreEvidence-based Transparent For governance
A recent incident involving a Tesla driver, who was found asleep behind the wheel while the vehicle was traveling at 70mph, underscores the...
Read moreAn investigation into the incident involving Tesla's Autopilot system, highlighting the importance of safe and secure AI governance. The inc...
Read moreIn an incident that underscores the need for responsible AI governance, a Tesla vehicle traveling seven miles on autopilot had an apparently...
Read moreIn a troubling incident involving Tesla's autopilot feature, a driver under the influence of alcohol claimed that the vehicle was operating...
Read moreIn an incident reported by news outlets, a Tesla vehicle using its Autopilot function is said to have collided with a parked police car. The...
Read moreRecent reports suggest that a Tesla vehicle operated on Autopilot for over 7 miles with an intoxicated, asleep driver. This incident undersc...
Read moreA Tesla driver was reportedly found asleep behind the wheel, allegedly under the influence of alcohol. The autonomous vehicle failed to stop...
Read moreIn a groundbreaking incident, an autonomous Tesla vehicle operating on autopilot was found to be driven by an intoxicated driver. The unique...
Read moreAn unattended Tesla vehicle under the Autopilot mode led police on a 7-minute chase, highlighting the importance of responsible AI governanc...
Read moreIn an interesting turn of events, a drunken driving suspect in San Jose claimed that his Tesla was on autopilot during the incident. This ra...
Read moreIn a recent incident, California authorities claimed that a Tesla vehicle on autopilot was driven while the driver was asleep and under the...
Read moreThe autonomous vehicle industry has reached a critical juncture, as these self-driving cars transition from controlled testing environments...
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.