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.
Entities
View all entitiesAlleged: Waymo developed and deployed an AI system, which harmed San Francisco residents , South of Market residents and South of Market businesses.
Incident Stats
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
Incident Reports
Reports Timeline
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, neighbors say …
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 other in a parking…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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