Tesla's 'Actually Smart Summon' Feature Reportedly Linked to Multiple Parking Lot Collisions

The National Highway Traffic Safety Administration (NHTSA) is investigating Tesla's 'Smart Summon' and 'Actually Smart Summon' features following reports of at least 16 collisions. The investigation covers approximately 2.6 million vehicles and focuses on the system's failure to detect obstacles like walls and other cars, as well as concerns regarding user reaction times and Tesla's failure to report these incidents as required by federal regulations.

Tesla's "Actually Smart Summon" feature, a remote parking system controlled via a smartphone app, reportedly failed to detect obstacles such as cars, walls, and parking signs, resulting in at least 16 collision incidents. The NHTSA is investigating safety concerns, including delayed user response times, potential overreliance on camera-only navigation, and noncompliance with crash reporting rules.

Source: AI Incident Database

Risk classification

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

The incident was primarily caused by the AI system's failure to perform reliably under varying conditions, specifically failing to detect and avoid obstacles like posts, walls, and parked cars.

Additional risk subdomains

  • 5.1 Overreliance and unsafe use: NHTSA noted concerns regarding users having too little reaction time to avoid a crash when relying on the remote app button to stop the vehicle.
  • 6.5 Governance failure: Tesla failed to report the crashes to regulators despite standing general orders requiring the reporting of incidents involving automated features.

Causal factors

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

The collisions were caused by the AI system failing to detect obstacles, which was an unintended outcome of the system's operation after deployment.

EU AI Act risk tier

  • Risk tier: 2 High Risk

High Risk: The system is an autonomous driving feature deployed in passenger vehicles, which represents a safety-critical application in transport infrastructure.

AI system and alleged parties

  • AI system: None named
  • AI purpose: Autonomous Driving; Navigation Assistant
  • Behaviour type: Autonomous
  • Alleged developer: Tesla
  • Alleged deployer: Tesla
  • Alleged harmed parties: Tesla users

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, the reports describe vehicles scraping up against other vehicles and colliding with objects.

Directly caused: Tesla vehicles scraped other parked vehicles and suffered body damage from colliding with walls and signs.

Inferred additional harm: Damage to the 16 Tesla vehicles and other parked vehicles involved in the collisions, with repair costs for bodywork.

People affected

  • Occurrences reported: 16
  • People reportedly harmed: 16
  • People reportedly exposed: 2600000

Potential causes

Management

  • Aggressive Sensor Removal: Management prioritized cost or simplicity over sensor redundancy.
  • Inadequate Risk Assessment: Management failed to assess risks of reduced user reaction times.

Technology

  • Camera-only Vision Transition: Removal of radar and ultrasonic sensors reduced obstacle detection redundancy.
  • Inadequate Obstacle Detection: System failed to recognize posts or parked vehicles in its path.

Data Inputs

  • Missing Sensor Data: Lack of radar and ultrasonic data inputs limited spatial awareness.
  • Visual Occlusion: Camera-only approach struggled with blind spots or poor line of sight.

Human Factors

  • Slow App Button Release: Users had too little reaction time to release the app button to stop crashes.
  • Insufficient Line of Sight: Users operated the vehicle without adequate direct line of sight.

Process and Methods

  • Insufficient Operational Limits: Lack of robust top speed and public road operating restrictions.
  • Inadequate Safety Reporting: Tesla did not report crashes under standing general orders.

Regulatory Environment

  • Inadequate Reporting Enforcement: NHTSA rules on crash reporting for automated systems were not enforced.
  • Lack of Pre-market Approval: No regulatory framework prevented deployment of camera-only summon features.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide consistent details regarding the NHTSA investigation, the specific vehicles covered, the nature of the failures, and the lack of physical injuries.
  • Ambiguities identified: The exact dates of the incidents and the precise financial costs of the property damage are not specified.
  • Alternative interpretations: None, the incident is clearly a technical failure of an autonomous vehicle feature.

A regulatory investigation by the NHTSA into Tesla's 'Smart Summon' features following 16 low-speed parking lot collisions. The incident represents consumer safety and regulatory compliance issues 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 technical investigation rather than an immediate national security crisis.
  • Autonomy: Human-supervised. The vehicle navigates autonomously but requires the user to actively monitor and hold a button on a smartphone app to maintain operation.
  • Novelty: Established threat. Autonomous vehicle collisions and sensor failures are established issues with existing precedents.

Impact by dimension

  • Physical security: Negligible. Collisions are limited to low-speed parking lot incidents with no physical injuries or critical infrastructure impact.
  • Information security: Negligible. No intelligence compromise, classified data theft, or information warfare operations occurred.
  • Sovereignty: Negligible. Standard regulatory oversight by NHTSA is active; there is no threat to state authority or core government functions.
  • Economic security: Negligible. Financial losses are limited to private vehicle repairs and do not impact strategic industries or national economic stability.
  • Societal stability: Negligible. No implications for civil liberties, mass surveillance, or societal stability.
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