Description: 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.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Cruise, a endommagé San Francisco emergency services et ambulance patient.
Statistiques d'incidents
ID
563
Nombre de rapports
2
Date de l'incident
2023-08-14
Editeurs
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
Rapports d'incidents
Chronologie du rapport
Deux taxis sans conducteur Cruise ont bloqué une ambulance transportant un patient grièvement blessé qui est décédé plus tard dans un hôpital, selon un rapport des pompiers de San Francisco, lors d'un autre incident impliquant des voitures …
Réponse post-incident de Lucas Ropek
Il y a quelques semaines, alors que les services d'urgence de San Francisco tentaient de s'éloigner d'un lieu où un homme avait été grièvement blessé, deux robots-taxis Cruise auraient flâné sur le chemin de l'ambulance, sans comprendre qu'…
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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