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A Waymo autonomous taxi in Los Angeles picked up a new passenger while an unauthorized man was trapped in the trunk. The vehicle's sensor systems failed to detect the occupant prior to dispatch. The incident was resolved by police, and Waymo has acknowledged the failure and is implementing safety changes.
In Los Angeles, a Waymo autonomous taxi reportedly picked up a new rider while a man was trapped inside its trunk after a previous passenger left it open. The vehicle's AI systems reportedly did not detect the unauthorized occupant before dispatch. The rider reportedly discovered the man during the trip, and police were called to remove him.
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 autonomous vehicle's sensors and safety systems failed to detect a human occupant in the trunk before dispatching, demonstrating a lack of capability and robustness in handling edge-case scenarios.
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 incident was caused by the Waymo AI system failing to detect a person in its trunk and dispatching itself, which was an unintentional failure during post-deployment operations.
A Waymo autonomous vehicle failed to detect an unauthorized passenger trapped in its trunk before dispatching itself to a new customer. While this highlights robustness and safety challenges in autonomous transport systems, it remains a localized, non-adversarial event with minor national security implications.
The Waymo vehicle operates independently, navigating streets and dispatching itself to passengers based on real-time environmental inputs without direct human driving control.
High Risk: The system is an autonomous vehicle used in road traffic and transport infrastructure, which has significant safety implications for passengers and the public.
The Waymo Driver's primary goal is autonomous driving. Its failure to detect the open trunk and trapped occupant represents a failure in its automatic fault handling and safety monitoring capabilities.
The incident is well-documented with clear timelines, passenger accounts, and company confirmation. The failure mode of the AI system is clear, even if specific technical sensor data is omitted.
None
Technology
Inadequate Trunk Sensors
Vehicle sensors failed to detect a human occupant inside the closed trunk.
Lack of Auto-Close Trunk
Vehicle cannot automatically close or lock trunk after passenger exit.
Data Inputs
Missing Trunk Status Data
System lacked real-time internal trunk occupancy data during dispatch.
Human Factors
Passenger Negligence
Previous passenger left the vehicle trunk open after completing their ride.
Unauthorized Trunk Entry
A pedestrian voluntarily climbed into the open trunk of the driverless car.
Process and Methods
Flawed Dispatch Protocol
System allowed dispatch of vehicle while trunk status was anomalous or open.
Inadequate Pre-Ride Verification
No physical check of vehicle interior or trunk before starting next trip.
Management
Deficient Risk Assessment
Management failed to anticipate unauthorized passenger entry into open trunks.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
