Incident 320: Tesla on Autopilot Collided with Parked Fire Truck on California Freeway
Description: A Tesla Model S operating on Autopilot mode crashed into the back of a parked fire truck on a freeway in Culver City, California in a non-fatal collision.
Entities
View all entitiesAlleged: Tesla developed and deployed an AI system, which harmed Tesla drivers and Culver City Fire Department.
Incident Stats
Incident ID
320
Report Count
4
Incident Date
2018-01-22
Editors
Khoa Lam
Incident Reports
Reports Timeline
torquenews.com · 2018
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A Tesla crashed into the back of a bright red firetruck on Interstate 405 in Culver City California yesterday. Luckily, the driver and first responders were not injured, but the Tesla was clearly a total loss. What makes the story newsworth…
latimes.com · 2019
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A government report says the driver of a Tesla sedan that slammed into a Culver City firetruck on the 405 Freeway last year was using the car’s Autopilot system when a vehicle in front of him suddenly changed lanes and he didn’t have time t…
caranddriver.com · 2019
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- The driver of a 2014 Tesla Model S that ran into the back of a fire engine in California in 2018 was using Autopilot at the time, according to a National Transportation Safety Board (NTSB) report this week.
- The agency's investigators repor…
culvercityobserver.com · 2019
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A driver's inattention, overreliance on his car's advanced driver assistance system, and use of the system inconsistent with manufacturer guidance, coupled with the system permitting driver disengagement from the driving task, led to the Ja…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
