Incident 23: Las Vegas Self-Driving Bus Involved in Accident

Description: A self-driving public shuttle by Keolis North America and Navya was involved in a collision with a human-driven delivery truck in Las Vegas, Nevada on its first day of service.

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Alleged: Navya and Keolis North America developed and deployed an AI system, which harmed Navya , Keolis North America and bus passengers.

Incident Stats

Incident ID
23
Report Count
24
Incident Date
2017-11-08
Editors
Sean McGregor, Khoa Lam

CSET Taxonomy Classifications

Taxonomy Details

Full Description

A self-driving shuttle in Las Vegas was involved in a collision, with passengers on board, a few hours after its initial release. The Navya Arma model shuttle, developed by company Keolis North America, was backed-into by a human-driven delivery truck. The self-driving shuttle accurately detected the backing up truck and stopped its forward motion, however it did not reverse to avoid collision. The driver of the delivery truck was ticketed.

Short Description

A self-driving public shuttle developed by Keolis North America was involved in a collision with a human-driven delivery truck in Las Vegas, Nevada.

Severity

Minor

Harm Type

Harm to physical health/safety, Harm to physical property

AI System Description

Self-driving public transportation shuttles

System Developer

Keolis North America

Sector of Deployment

Transportation and storage

Relevant AI functions

Perception, Cognition, Action

AI Techniques

environment sensors, self-driving automobile, autonomous vehicle, radar, sonar

AI Applications

Self-driving automobiles, Interpreting traffic patterns

Location

Las Vegas, NV

Named Entities

Keolis North America

Technology Purveyor

Keolis North America

Beginning Date

2017-11-08T08:00:00.000Z

Ending Date

2017-11-08T08:00:00.000Z

Near Miss

Harm caused

Intent

Accident

Lives Lost

No

Infrastructure Sectors

Transportation

Data Inputs

Traffic patterns, data from cameras used to perceive the surroundings

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.

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