Description: The NHTSA has linked Tesla's Autopilot to over a dozen fatalities and hundreds of crashes, prompting a new investigation into the adequacy of Tesla's December recall of 2 million vehicles. The probe reports that Tesla’s driver-assist system led to avoidable crashes involving visible hazards, suggesting a critical safety gap between driver expectations and the system’s capabilities. The investigation will assess if Tesla’s recall remedies were sufficient to address these safety risks.
Entities
View all entitiesAlleged: Tesla developed an AI system deployed by Tesla and Tesla drivers, which harmed Tesla drivers , Drivers and General public.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
Federal auto-safety regulators have opened an investigation into the adequacy of Tesla's December recall of 2 million vehicles equipped with Autopilot software, tying the technology to at least 14 fatalities, several dozen injuries and hund…
US auto-safety regulators said on Friday that their investigation into Tesla's Autopilot had identified at least 13 fatal crashes in which the feature had been involved. The investigation also found the electric carmaker's claims did not ma…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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