Description: A TuSimple autonomous truck operating with backup drivers behind the wheel operated on an outdated command sequence and suddenly veered into the center divide on the interstate freeway.
Entities
View all entitiesIncident 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
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On April 6, an autonomously driven truck fitted with technology by TuSimple increase; green up pointing triangle Holdings Inc. suddenly veered left, cut across the I-10 highway in Tucson, Ariz., and slammed into a concrete barricade.
The ac…
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Last April, a semi-trailer truck operated by the San Diego-based company that was traveling down I-10 in Tucson, Arizona, suddenly lurched left, slamming into a concrete divider, according to dashcam footage leaked to YouTuber Asian Mai. Tu…
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.
