Incident 853: translated-fr-Two Passengers Report Feeling Trapped in Waymo Car During Sensor Obstruction
Description: translated-fr-During a nighttime Waymo ride in San Francisco, an unhoused individual blocked the sensors of an autonomous vehicle, leaving passengers Robert Moreno and his husband feeling trapped and unsure how to proceed. Waymo's support team advised the riders to stay inside the vehicle for safety. The incident is an example of autonomous driving systems being halted when sensors are obstructed, preventing vehicle operation. The individual left after a few minutes without further escalation.
Editor Notes: See also Incident 854: Waymo Driverless Taxi Allegedly Stalled During Pedestrian Harassment Incident in San Francisco.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Waymo, a endommagé Robert Moreno's husband et Robert Moreno.
Statistiques d'incidents
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
SAN FRANCISCO (KGO) – Alors que la technologie de conduite autonome se développe, nous recevons également des rapports d'incidents à San Francisco impliquant des passagers et un cycliste.
Quelques minutes après le début de son trajet Waymo,…
Variantes
Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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