Description: In Spokane, Washington, a Spokane Transit Authority double-decker bus was reportedly routed by its onboard navigation/CAD mapping system onto Cedar Street and hit a low-clearance railroad viaduct, shearing the upper deck. Of 10 people aboard, seven were reportedly hospitalized with non-life-threatening injuries. STA reportedly later warned operators not to use CAD maps for routing and pulled double-deckers from service pending an investigation; the driver was cited for negligent driving.
Entities
View all entitiesAlleged: Unidentified vendor of Spokane Transit Authority onboard CAD/navigation routing software developed an AI system deployed by Spokane Transit Authority, which harmed Spokane Transit Authority bus passengers and Spokane Transit Authority personnel.
Alleged implicated AI systems: CAD/navigation routing technology and Unidentified Spokane Transit Authority onboard CAD/navigation routing software
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
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Drivers for Spokane Transit Authority's double-decker buses were rerouted by onboard navigation software onto Cedar Street before one of them crashed into an overhead viaduct downtown on Sunday, photos shared with The Spokesman-Review appea…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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