This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .
In May 2022, a Tesla employee, Hans von Ohain, died in a fatal crash in Evergreen, Colorado, after his Model 3 veered off a mountain road and struck a tree, resulting in a severe fire. While the driver was found to have a blood alcohol level significantly above the legal limit, the passenger alleged that the vehicle's Full Self-Driving (FSD) feature was engaged. Investigators noted the absence of skid marks and the presence of rolling tire marks, suggesting the vehicle's propulsion system remained active upon impact, though Tesla and CEO Elon Musk have disputed whether FSD was active or even installed on the vehicle.
A Tesla employee, Hans von Ohain, was killed in a crash while allegedly using the Full Self-Driving feature. The car failed to navigate mountain curves, leading to a fatal collision, possibly making von Ohain the first known fatality of the Full Self-Driving feature.
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.
Also classified as
The driver relied on the FSD system to navigate while heavily intoxicated, reflecting a false sense of security and overreliance on the technology.
The primary failure was the AI system's inability to safely navigate a winding mountain road, resulting in the vehicle veering off course and crashing.
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 Tesla FSD beta system unexpectedly veering off the road and failing to negotiate a curve after deployment.
Added categories peak at 2: Minor (Psychological Harm, Direct)
A fatal crash involving a Tesla Model 3 potentially operating on Full Self-Driving beta in Colorado. While tragic, the incident is a consumer safety and regulatory issue with negligible implications for national security.
The reports describe Tesla's Full Self-Driving (FSD) beta as a system designed to navigate, steer, and control the vehicle with minimal human intervention, making real-time driving decisions on public roads.
High Risk: The system is an AI safety component in road traffic and critical infrastructure (autonomous driving), which has significant implications for physical safety and public interest.
The primary function of Tesla's FSD beta is autonomous driving, enabling the vehicle to steer, accelerate, and brake automatically to navigate roads.
There is strong evidence from the passenger and crash dynamics (rolling tire marks, no skid marks) that a driver-assistance feature was engaged. However, because the vehicle was completely destroyed by fire, physical logs could not be recovered, and Tesla claimed it did not receive over-the-air data, leaving some ambiguity about whether FSD or Autopilot was active, or if it was active at all, which Elon Musk disputes.
The crash could be interpreted purely as a drunk-driving accident where the driver fell asleep or lost control due to extreme intoxication (BAC 0.264), independent of any AI system involvement.
The vehicle's internal telemetry logs and over-the-air data confirming whether FSD or Autopilot was engaged and active at the time of the crash.
Technology
Erratic FSD Beta Navigation
Software struggled on curvy roads and swerved repeatedly before the crash.
Post-Impact Power Deployment
System continued sending power to wheels after collision without braking.
Lithium-Ion Battery Flammability
Undercarriage batteries fueled an intense fire that trapped the driver.
Data Inputs
Missed Road Markings
FSD software struggled with unclear lane markings and winding road geometry.
Inability to Transmit Logs
Remote country location prevented over-the-air transmission of crash data.
Human Factors
Severe Driver Intoxication
Driver BAC was 0.264, severely impairing reaction time and control.
Overreliance on Automation
Driver relaxed attention, trusting FSD to handle winding mountain roads.
Ignored System Limitations
Driver engaged FSD on curvy roads despite manual warnings against it.
Process and Methods
Testing Beta Tech on Public Roads
Releasing unfinished FSD Beta to public users increases real-world risks.
Inadequate Escape Training
Very few owners know how to use the manual door release if electronics fail.
Lack of Cabin Attention Checks
System failed to ensure driver kept hands on wheel and eyes on the road.
Management
Misleading Marketing Claims
Promoted FSD as autonomous and better than humans, creating false safety.
Aggressive Software Deployment
Rushed beta software to public roads to boost company value and data.
Poor Post-Crash Communication
Company failed to acknowledge the death and sent a termination notice.
Regulatory Environment
Insufficient Autonomous Oversight
Lack of strict federal standards for deploying Level 2 beta software.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
