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A cyclist in San Francisco was injured after a Waymo robotaxi stopped in a bike lane and a passenger opened a door into her path, causing her to collide with the vehicle and a second Waymo. The victim alleges that Waymo's 'Safe Exit' system failed to warn the passenger of the approaching cyclist. The incident resulted in serious bodily injuries and a lawsuit against Waymo and Alphabet.
San Francisco cyclist Jenifer Hanki alleged that on February 16, 2025, one driverless Waymo stopped beside a marked bike lane at a no-stopping curb without warning a passenger who opened a rear door into her path, while a second Waymo crossed into the lane and restricted her escape. Hanki said she suffered brain, spinal, and soft-tissue injuries after striking the door and second vehicle. Her lawsuit alleged failures in Waymo's Safe Exit system and passenger drop-off controls.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
The incident was primarily caused by a technical failure of the Waymo Safe Exit system to perform its designed function of detecting and warning about an approaching cyclist.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The collision was caused by the Waymo AI system pulling into a bike lane and its Safe Exit system failing to warn passengers of an oncoming cyclist during active deployment.
Added categories peak at 2: Minor (Psychological Harm, Direct)
A localized commercial robotaxi accident in San Francisco resulted in physical injury to a cyclist after a passenger opened a door. While highlighting public safety risks of autonomous vehicle deployment, the incident has negligible national security implications and is manageable under standard local legal and regulatory frameworks.
The Waymo vehicles operate independently on public streets, responding to environmental inputs and making real-time driving decisions without a human driver present.
High Risk: The AI system is used in critical transport infrastructure (autonomous road vehicles), which has significant implications for public safety and physical well-being.
The primary function of the Waymo Driver system is to operate passenger vehicles autonomously on public roads.
The report provides a clear, detailed account of a specific physical collision, the parties involved, the injuries sustained, and the legal action taken, leaving little ambiguity about the core events.
None, as the physical collision and system failure are clearly documented in the legal filings and news report.
Technology
Safe Exit System Failure
The system failed to detect the cyclist and warn the passengers.
Improper Stopping Location
The vehicle pulled into a marked bike lane next to a no-stopping sign.
Second Vehicle Pathing
A second Waymo pulled into the bike lane, compounding the collision.
Human Factors
Passenger Opened Door Prematurely
The passenger popped open the back door into the active bike lane.
Lack of Driver Supervision
No human driver was present to monitor traffic or lock doors.
Passenger Confusion Post-Incident
Passengers did not know how to report the incident and left the scene.
Process and Methods
Inadequate Emergency Reporting
No clear process was provided for passengers to report the collision.
Post-Crash Obstruction
Vehicles remained stationary, obstructing traffic and the bike lane.
Inadequate Testing and Refining
The technology was deployed without sufficient testing for dooring risks.
Management
Premature Deployment
Deploying autonomous vehicles before fully refining safe exit technology.
Regulatory Environment
Gap in Accountability
Lack of clear regulatory standards and accountability for AV companies.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
