Waymo's autonomous vehicles were involved in multiple incidents where they failed to stop for school buses with active safety signals, including instances where students were actively crossing the road. Despite software updates intended to resolve the issue, violations continued, leading to a formal NHTSA investigation and a voluntary software recall by Waymo. No injuries were reported, but regulators and school districts expressed significant concern regarding the ongoing safety risk to students.
Officials in Texas reportedly claimed that Waymo's self-driving vehicles illegally passed stopped school buses at least 19 times during the 2025 school year. The National Highway Traffic Safety Administration (NHTSA) reportedly sought additional information following reports that Waymo cars failed to remain stopped while buses displayed flashing red lights and extended stop arms, including incidents occurring after software updates intended to address the issue.
Risk classification
- Primary risk domain: 7 AI system safety, failures, & limitations
- Primary risk subdomain: 7.3 Lack of capability or robustness
The incident represents a lack of capability and robustness in the Waymo autonomous driving system, which failed to perform reliably under standard traffic conditions involving stopped school buses.
Causal factors
- Entity: AI
- Intent: Unintentional
- Timing: Post-deployment
The safety risk was caused by a technical failure in the Waymo autonomous driving software, which unexpectedly failed to stop for school buses after being deployed on public roads.
EU AI Act risk tier
High Risk: The AI system is used in critical transport infrastructure and safety-critical automotive applications, directly impacting public safety.
AI system and alleged parties
- AI system: Waymo 5th Generation Automated Driving System 5th Generation (Google)
- AI purpose: Autonomous Driving; Navigation Assistant
- Behaviour type: Autonomous
- Alleged developer: Waymo
- Alleged deployer: Waymo
- Alleged harmed parties: Texas school children, students, School children, pedestrians, General public of Texas, General public, Drivers, Austin Independent School District
Harm severity
Severity ratings are based on this scale.
Highest direct severity in any category: Negligible. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.
- Physical: direct Negligible, indirect Negligible
- Infrastructure: direct Negligible, indirect Negligible
- Property: direct Negligible, indirect Negligible
- Financial: direct Negligible, indirect Negligible
- Environmental: direct Negligible, indirect Negligible
- Malicious content: direct Negligible, indirect Negligible
- Differential treatment: direct Negligible, indirect Negligible
- Civil rights: direct Negligible, indirect Negligible
- Democracy: direct Negligible, indirect Negligible
- Privacy: direct Negligible, indirect Negligible
- Psychological: direct Negligible, indirect Negligible
- Epistemic: direct Negligible, indirect Negligible
- Child sexual exploitation and abuse: direct Negligible, indirect Negligible
People affected
- Occurrences reported: 21
- People reportedly exposed: 21
Potential causes
Management
- Refusal to Pause Operations: Management rejected school requests to halt service during pickup times.
- Delayed Recall Decision: Recall was only filed after multiple violations and federal investigations.
Technology
- Defective Stopping Logic: Software caused vehicles to stop and then resume driving near school buses.
- Failed Software Update: The November software patch did not stop vehicles from passing school buses.
Data Inputs
- Side Street Detection Limits: Approaching from side streets hindered proper detection of bus safety signals.
Process and Methods
- Inadequate Update Validation: Software updates were released without verifying they resolved the safety risk.
- Real-Time System Development: Complex systems were developed and tested in real time on public roads.
Information quality
- Classification confidence: High
- Reason for confidence: The reports provide consistent and detailed accounts of the incidents from multiple sources, including school district officials, police departments, Waymo representatives, and the NHTSA. The specific number of violations, locations, and the nature of the software failure are clearly documented.
- Ambiguities identified: The exact technical reason why the software failed to recognize the school buses' stop signals from certain angles is not fully detailed.
- Alternative interpretations: None. The incident is clearly a technical failure of an autonomous vehicle's perception and decision-making system.
Waymo self-driving vehicles repeatedly failed to stop for school buses with active safety signals in Texas and Georgia, leading to a NHTSA investigation and a voluntary software recall. While presenting a localized public safety concern for school children, the incident is an unintentional technical failure with negligible national security implications across all assessed categories.
- Overall national security impact: Negligible
- Scope: Single nation
- Primary target: No clear primary
- Alleged perpetrator: Unknown
Threat characteristics
- Imminence: Long-term. The issue is being addressed through standard regulatory channels and software recalls, representing no immediate national security crisis.
- Autonomy: Full autonomy. Waymo's self-driving vehicles operate independently on public roads, making real-time driving decisions without human intervention.
- Novelty: Established threat. Technical failures and edge-case errors in autonomous driving systems are well-documented and established issues within the AV industry.
Impact by dimension
- Physical security: Negligible. The safety violations represent localized traffic safety issues with zero reported injuries or infrastructure damage, posing no threat to national physical security or critical infrastructure.
- Information security: Negligible. No elements of information warfare, intelligence compromise, or cyber espionage are present in this incident.
- Sovereignty: Negligible. The incident does not threaten state authority or government operations, and is being managed through standard domestic regulatory and investigation channels.
- Economic security: Negligible. While involving a leading AI developer, a localized software bug and subsequent voluntary recall do not threaten national economic stability or strategic technological advantage.
- Societal stability: Negligible. The incident has no impact on social cohesion, civil liberties, or population-scale stability, remaining limited to local traffic safety concerns.
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