Incident 232: Tesla Model X on Autopilot Missed Parked Vehicles and Pedestrians, Killing Motorcyclist in Japan

Description: A Tesla Model X operated on Autopilot reportedly failed to recognize the parked motorcycles, pedestrians, and van in its path in Kanagawa, Japan, and ran over a motorcyclist who previously stopped when a member of his motorcyclist group was involved in an accident.

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Alleged: Tesla developed and deployed an AI system, which harmed Yoshihiro Umeda , pedestrians and Tesla drivers.

Incident Stats

Incident ID
232
Report Count
4
Incident Date
2018-04-29
Editors
Khoa Lam
Applied Taxonomies
GMF, MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

7.3. Lack of capability or robustness

Risk Domain

  1. AI system safety, failures, and limitations

Entity

AI

Timing

Post-deployment

Intent

Unintentional

Tesla is sued by family of man who was killed by car using Autopilot
dailymail.co.uk · 2020

Tesla Inc. was sued on Tuesday by the family of a Japanese man who was killed when a driver fell asleep behind the wheel of a Model X and the vehicle 'suddenly accelerated.'

The case concerns the 'first Tesla Autopilot-related death involvi…

Tesla sued after motorcyclist's death
advrider.com · 2020

The Daily Mail reports a Japanese motorcyclist’s family is suing Tesla, after he was killed by a Tesla Model X in April, 2018.

According to documents filed for the lawsuit, 44-year-old Yoshihiro Umeda was with a group of motorcyclists at th…

Tesla Autopilot Blamed On Fatal Japanese Model X Crash
carscoops.com · 2020

Tesla has been sued by the family of a 44-year-old Japanese man who was killed when a Model X using Autopilot crashed into a group of people standing to the side of an expressway near Tokyo, Bloomberg reports.

According to the complaint fil…

Tesla Autopilot Technology Killed a Man in Japan, According to This Lawsuit
motorbiscuit.com · 2020

Napping behind the wheel? Nope. Even with a “self-driving” car, the driver has to be awake and aware. Self-driving cars are right over the horizon, with Tesla leading the way. There have been some serious bumps in the road along the way, mo…

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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