Descripción: In an initial report, a Cruise robotaxi was said to have delayed a San Francisco ambulance transporting Sammy Davis, a critically injured 69-year-old hit by a city bus. Davis later died. Subsequent clarification revealed that Cruise was not at fault for the fatality; the actual cause was a human-operated city bus. Despite this, the incident is included as it highlights challenges in the interaction between autonomous vehicles and emergency services in urban settings.
Editor Notes: Initial reports in this case indicated that a Cruise robotaxi obstructed an ambulance carrying Sammy Davis, a critically injured 69-year-old man, leading to delayed medical attention. Davis later died from his injuries. These early accounts led to public scrutiny and questions regarding the safety of autonomous vehicles in emergency scenarios. However, subsequent official statements have clarified that Cruise was not at fault for Davis's death. The man was actually struck by a human-operated city bus, and city officials have stated that the delay caused by the robotaxi did not contribute to the fatal outcome. The report remains in the database to document the evolving understanding of autonomous vehicles' roles and responsibilities in complex urban environments.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Cruise, perjudicó a San Francisco emergency services y ambulance patient.
Estadísticas de incidentes
ID
563
Cantidad de informes
2
Fecha del Incidente
2023-08-14
Editores
Sean McGregor, Daniel Atherton
Applied Taxonomies
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
Dos taxis sin conductor de Cruise bloquearon una ambulancia que transportaba a un paciente gravemente herido que luego murió en un hospital, según un informe del Departamento de Bomberos de San Francisco, en otro incidente que involucró aut…
Respuesta post-incidente de Lucas Ropek
Hace un par de semanas, cuando los servicios de emergencia de San Francisco intentaron alejarse de una escena donde un hombre había resultado gravemente herido, un par de robotaxis Cruise supuestamente merodearon en el camino de la ambulanc…
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.
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