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Incident 560: Tesla on Autopilot Struck Parked Work Truck on Highway in Pennsylvania

Description: A 2016 Tesla on Autopilot crashed into the rear of a parked 2007 Freightliner truck providing traffic control on the Pennsylvania Turnpike highway.

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Alleged: Tesla developed and deployed an AI system, which harmed truck drivers , Tesla drivers and David Clough.

Incident Stats

Incident ID
560
Report Count
1
Incident Date
2023-06-23
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

7.3. Lack of capability or robustness

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. AI system safety, failures, and limitations

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceState Police: Tesla on autopilot crashes into stopped truck on Pa. Turnpike
State Police: Tesla on autopilot crashes into stopped truck on Pa. Turnpike

State Police: Tesla on autopilot crashes into stopped truck on Pa. Turnpike

post-gazette.com

State Police: Tesla on autopilot crashes into stopped truck on Pa. Turnpike
post-gazette.com · 2023

Authorities say a Tesla on autopilot crashed into a stopped truck on the Pennsylvania Turnpike last week. 

Troopers responded to a two-vehicle crash on the turnpike eastbound near mile marker 48 about 10:25 p.m. Friday in Oakmont, according…

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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