Tesla and Waymo Robotaxis Involved in Multiple Crashes and Disruptions in U.S. Cities

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Tesla and Waymo autonomous vehicles have reported numerous crashes in Austin, causing property damage and at least one minor injury. Waymo's driverless cars also disrupted a construction site in Nashville. These incidents highlight ongoing safety and operational concerns with AI-driven robotaxis in U.S. urban environments.[AI generated]

Why's our monitor labelling this an incident or hazard?

The article explicitly mentions an AI system (Waymo Driver) involved in real-world use and incidents causing harm, including a collision with a child resulting in minor injuries and other operational failures that could affect safety and emergency response. These constitute direct or indirect harm linked to the AI system's use. Although the overall safety record is positive, the reported incidents meet the criteria for an AI Incident because harm has occurred. The discussion of data presentation and safety concerns adds context but does not negate the occurrence of harm. Therefore, the event is best classified as an AI Incident.[AI generated]
AI principles
SafetyRobustness & digital security

Industries
Mobility and autonomous vehicles

Affected stakeholders
General public

Harm types
Physical (injury)Economic/Property

Severity
AI incident

AI system task:
Recognition/object detectionGoal-driven organisation


Articles about this incident or hazard

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My Waymo Ride From The Airport Was Great. Getting To It, Not So Much

2026-03-20
Forbes
Why's our monitor labelling this an incident or hazard?
The event involves an AI system (Waymo's autonomous vehicle) in use, but no harm or risk of harm is reported or implied. The challenges described relate to external factors such as airport pick-up policies and infrastructure, not the AI system's development, use, or malfunction causing harm. Therefore, this is not an AI Incident or AI Hazard. The article provides contextual information about the AI system's deployment and user experience, which fits the definition of Complementary Information as it enhances understanding of AI deployment challenges without reporting harm or plausible harm.
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Waymo hits 170 million miles while avoiding serious mayhem

2026-03-19
The Verge
Why's our monitor labelling this an incident or hazard?
The article explicitly mentions an AI system (Waymo Driver) involved in real-world use and incidents causing harm, including a collision with a child resulting in minor injuries and other operational failures that could affect safety and emergency response. These constitute direct or indirect harm linked to the AI system's use. Although the overall safety record is positive, the reported incidents meet the criteria for an AI Incident because harm has occurred. The discussion of data presentation and safety concerns adds context but does not negate the occurrence of harm. Therefore, the event is best classified as an AI Incident.
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Jacksonville city councilman pushing to roll out Waymo; Safety analysts have some concerns

2026-03-19
News 4 Jax
Why's our monitor labelling this an incident or hazard?
The article involves AI systems (Waymo's autonomous vehicles) and discusses their use and potential malfunction leading to safety concerns. While incidents involving Waymo vehicles have occurred elsewhere, the article focuses on the potential risks and regulatory considerations related to deploying Waymo in Jacksonville. Since no actual harm or incident has occurred in Jacksonville yet, but there is a credible risk of harm based on past incidents and the nature of autonomous vehicle technology, this qualifies as an AI Hazard. The article does not primarily report on a realized harm or incident in Jacksonville, nor is it merely complementary information or unrelated news.
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Tesla's robotaxi crash count reaches 15 since June in Austin. Waymo hits 60.

2026-03-19
Austin American-Statesman
Why's our monitor labelling this an incident or hazard?
The article explicitly involves AI systems in autonomous vehicles (robotaxis) operated by Tesla and Waymo. The crashes reported have resulted in property damage and at least one minor injury, which constitutes harm to persons and property. The AI systems' operation is central to these incidents, and regulatory investigations highlight the significance of these harms. Therefore, this event qualifies as an AI Incident due to direct harm caused by the use and malfunction of AI systems in autonomous driving.
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Waymo driverless cars causing issues before official Nashville launch

2026-03-20
WSMV Nashville
Why's our monitor labelling this an incident or hazard?
The event clearly involves AI systems—Waymo's autonomous vehicles rely on AI for navigation and decision-making. The vehicles' behavior caused direct disruption to a construction site and traffic flow, which are harms to property use and community functioning. Although no physical injuries occurred, the economic harm and disruption to operations meet the criteria for harm under (d) harm to property, communities, or environment. The AI system's malfunction or imperfect operation directly led to these harms. Hence, this is an AI Incident rather than a hazard or complementary information.
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Tesla, Waymo Report New Crashes as Robotaxis Face Scrutiny

2026-03-19
Government Technology
Why's our monitor labelling this an incident or hazard?
The events involve AI systems explicitly described as controlling autonomous robotaxis. The crashes have resulted in property damage and at least one minor injury, fulfilling the harm criteria. The AI systems' use and possible malfunction or failure to comply with traffic laws have directly or indirectly led to these harms. The ongoing investigations and congressional scrutiny further confirm the significance of these incidents. Hence, the classification as AI Incident is appropriate.
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Waymo: 170 Million Miles Driven As Autonomous Vehicles Show Major Crash Reductions

2026-03-20
Pulse 2.0
Why's our monitor labelling this an incident or hazard?
The article explicitly involves an AI system (Waymo's autonomous driving system) and discusses its use and safety performance. There is no harm reported or plausible future harm indicated; instead, the data shows reduced crash rates and improved safety outcomes. The focus is on transparency, data sharing, and ongoing deployment, which aligns with Complementary Information as it updates on the AI system's impact and societal implications without reporting an incident or hazard.