Descripción: The NHTSA has linked Tesla's Autopilot to over a dozen fatalities and hundreds of crashes, prompting a new investigation into the adequacy of Tesla's December recall of 2 million vehicles. The probe reports that Tesla’s driver-assist system led to avoidable crashes involving visible hazards, suggesting a critical safety gap between driver expectations and the system’s capabilities. The investigation will assess if Tesla’s recall remedies were sufficient to address these safety risks.
Entidades
Ver todas las entidadesAlleged: Tesla developed an AI system deployed by Tesla y Tesla drivers, which harmed Tesla drivers , Drivers y General public.
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes
Federal auto-safety regulators have opened an investigation into the adequacy of Tesla's December recall of 2 million vehicles equipped with Autopilot software, tying the technology to at least 14 fatalities, several dozen injuries and hund…
US auto-safety regulators said on Friday that their investigation into Tesla's Autopilot had identified at least 13 fatal crashes in which the feature had been involved. The investigation also found the electric carmaker's claims did not ma…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents