Tesla on Autopilot Struck Parked Work Truck on Highway in Pennsylvania

A 2016 Tesla on Autopilot crashed into the rear of a parked 2007 Freightliner truck providing traffic control on the Pennsylvania Turnpike highway.

Risk classification

• Primary risk domain: 7 AI system safety, failures, & limitations
• Primary risk subdomain: 7.3 Lack of capability or robustness

The Tesla Autopilot system failed to perform reliably under highway conditions by failing to detect and avoid a stationary truck, demonstrating a lack of capability and robustness.

Additional risk subdomains

• 5.1 Overreliance and unsafe use: The driver overrelied on the Autopilot system, leading to a careless driving charge, which is compounded by criticisms of Tesla's marketing of the 'Autopilot' name.

Causal factors

• Entity: AI
• Intent: Unintentional
• Timing: Post-deployment

The crash was caused by the Tesla Autopilot system failing to detect and avoid a stopped truck, which was an unexpected and unintentional outcome during its post-deployment operation.

EU AI Act risk tier

• Risk tier: 2 High Risk

High Risk: The system is an AI used as a safety component in road traffic and vehicle management, which has significant implications for public safety.

AI system and alleged parties

• AI system: Autopilot (Tesla)
• AI purpose: Autonomous Driving; Navigation Assistant
• Behaviour type: Autonomous
• Alleged developer: Tesla
• Alleged deployer: Tesla
• Alleged harmed parties: truck drivers, Tesla drivers, David Clough

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. 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 Minor, 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

Property

Reported: Yes

Directly caused: The 2016 Tesla crashed into the back of the Freightliner truck, causing physical damage to both vehicles.

Inferred additional harm: Both the Tesla and the Freightliner truck likely sustained significant physical damage requiring repairs, though the exact monetary value is not specified in the report.

People affected

• Occurrences reported: 1
• People reportedly exposed: 2

Potential causes

Management

• Misleading System Branding: Marketing the system as 'Autopilot' implies more autonomy than exists.

Technology

• Autopilot Detection Failure: The autopilot system failed to detect and brake for a stopped truck.
• Inadequate Control Transition: The system did not safely return control to the driver before impact.

Data Inputs

• Stationary Object Filtering: Radar or camera inputs may filter out stationary objects to avoid false brakes.
• Nighttime Sensor Limitations: The incident occurred at night, which can degrade optical sensor performance.

Human Factors

• Driver Inattentiveness: The driver was charged with careless driving and failed to monitor the road.
• Automation Bias: The driver over-relied on the autopilot system, assuming it would brake.

Process and Methods

• Inadequate Attention Tracking: The system lacked robust methods to ensure the driver kept eyes on the road.

Regulatory Environment

• Delayed Regulatory Action: Regulators investigated autopilot for years without enforcing strict standards.

Information quality

• Classification confidence: High
• Reason for confidence: The report clearly describes the crash, the AI system involved, the failure mode, and the legal and regulatory context. There is minimal ambiguity regarding the core facts of the incident.
• Alternative interpretations: The crash could be interpreted primarily as human error due to the driver being charged with careless driving, rather than an AI failure.

A localized traffic accident involving a consumer Tesla vehicle on Autopilot colliding with a stationary truck. The incident represents a domestic automotive safety and regulatory issue with negligible implications for national security.

• Overall national security impact: Negligible
• Scope: Single nation
• Primary target: United States
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. Represents an ongoing regulatory and safety monitoring concern rather than an immediate national security crisis.
• Autonomy: Human-supervised. Tesla Autopilot requires active driver supervision and intervention, though the driver failed to intervene in this instance.
• Novelty: Established threat. Similar Autopilot crashes involving stationary emergency or traffic control vehicles have occurred and been investigated previously.

Impact by dimension

• Physical security: Negligible. A single consumer vehicle crash on a domestic highway with no injuries represents negligible threat to critical infrastructure or national physical security.
• Information security: Negligible. No evidence of intelligence compromise, classified data exposure, or information warfare operations in this incident.
• Sovereignty: Negligible. Standard domestic traffic law enforcement and regulatory oversight were maintained with no threat to state authority.
• Economic security: Negligible. Financial impact is limited to localized property damage and repair costs for two vehicles, posing no threat to national economic security.
• Societal stability: Negligible. No implications for civil liberties, mass surveillance, or societal stability; the incident is a routine, localized traffic accident.