Description: A Tesla Model Y in Full Self-Driving (FSD) mode drove into the wrong lane after making a left turn despite its driver allegedly attempting to overtake its driving, resulting in a non-fatal collision with another vehicle in the wrong lane in Brea, California.
Entities
View all entitiesAlleged: Tesla developed and deployed an AI system, which harmed unnamed Tesla driver and Tesla drivers.
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 Model Y in “Full Self-Driving” (FSD) beta mode allegedly crashed on November 3rd in Brea, a city southeast of Los Angeles, marking what is likely to be the first incident involving the company’s controversial driver assist feature. …
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.
