Registro de citas para el Incidente 794

Description: Waymo self-driving cars in San Francisco's South of Market neighborhood began honking at each other late at night, disturbing residents' sleep. The autonomous vehicles, using a parking lot for ride pauses, triggered honking due to a glitch in their algorithms. Despite residents' complaints, the issue persisted for weeks until Waymo acknowledged the problem and began working on a fix.

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Presunto: un sistema de IA desarrollado e implementado por Waymo, perjudicó a San Francisco residents , South of Market residents y South of Market businesses.

Estadísticas de incidentes

794

Cantidad de informes

Fecha del Incidente

2024-08-13

Editores

Daniel Atherton

Informes del Incidente

Cronología de Informes

translated-es-San Francisco neighbors say repeated Waymo honking is keeping them up at night

nbcbayarea.com

translated-es-Self-driving Waymo cars keep SF residents awake all night by honking at each other

arstechnica.com

nbcbayarea.com · 2024

Traducido por IA

translated-es-A South Market community is frustrated as Waymo cars keep convening and honking late at night. Alyssa Goard has the latest on how the neighborhood and company are responding.

In San Francisco's South of Market neighborhood, …

arstechnica.com · 2024

Traducido por IA

translated-es-Silicon Valley's latest disruption? Your sleep schedule. On Saturday, NBC Bay Area reported that San Francisco's South of Market residents are being awakened throughout the night by Waymo self-driving cars honking at each othe…

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.