Description: A Tesla driver posted on Twitter his Tesla FSD's "glitch," misidentifying deactivated traffic lights being carried by a truck as a constant trail of traffic lights while traveling at high speed on a highway.
Entities
View all entitiesAlleged: Tesla developed and deployed an AI system, which harmed 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
The author posted this video in the comments. It's a truck full of traffic lights.
A Tesla Model 3 owner encountered an unusual glitch while using the Autopilot assisted driving system on the highway: The car seemed to detect an endless trail of traffic lights all the way down the road as it traveled upwards of 80 MPH.
In…
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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