Description: A Tesla reportedly in self-driving mode crashed into a parked patrol vehicle in Fullerton, California while the officer was responding to a fatal DUI crash. The officer narrowly escaped injury. The driver reports having been distracted by a cellphone and having relied on the Tesla’s AI. (The earlier crash involved a suspected DUI driver who killed a motorcyclist stopped at a red light.)
Entities
View all entitiesAlleged: Tesla developed an AI system deployed by unnamed Tesla driver, which harmed Unnamed Fullerton police officer and Fullerton Police Department.
Incident Stats
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.
- 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
A Tesla was in its self-driving mode when it crashed into a parked patrol vehicle responding to a fatal crash in Orange County Thursday morning, police said.
The officer was on traffic control duty blocking Orangethorpe Avenue in Fullerton …
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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