Google self-driving car badly damaged in accident but wasn't at fault
In an incident that underscores the challenges of safe and secure AI, a Google self-driving car sustained significant damage in a collision....
Read moreEvidence-based Transparent For governance
In an incident that underscores the challenges of safe and secure AI, a Google self-driving car sustained significant damage in a collision....
Read moreGoogle's self-driving car was involved in its first reported collision, demonstrating the need for robust responsible AI governance. The inc...
Read moreIn an unprecedented event, a self-driving car developed by Google was reported to have collided with a public bus in San Francisco. This is...
Read moreAn autonomous SUV operated by Google was recently involved in a serious crash in Mountain View, California. The incident occurred when a van...
Read moreRecent events have shed light on an incident involving Google's self-driving car, raising questions about safe and secure AI operation. The...
Read moreIn an unexpected collision, a Google self-driving car struck a public bus near its Mountain View headquarters. This incident serves as a rem...
Read moreAn unexpected incident occurred involving a Google self-driving car in the United States, highlighting the challenges of responsible AI and...
Read moreAn autonomous vehicle being tested by Apple in Silicon Valley was recently rear-ended during a road test. The incident underscores the need...
Read moreA recent video footage showed Google's self-driving car accidentally sideswiping a bus, highlighting the challenges and complexities of resp...
Read moreIn an incident highlighting the challenges of AI governance, a driverless vehicle developed by Google was involved in a collision with a bus...
Read moreAn incident occurred involving a Google self-driving car in Mountain View, CA. A video captured the vehicle colliding with a city bus, demon...
Read moreIn a significant development, Google's self-driving car was recently involved in a crash. The incident underscores the importance of robust...
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.