概要: Cruise’s autonomous vehicles were shown on video stopping in the middle of the road and causing blockages in San Francisco, as they were disabled allegedly due to lost connection to their company’s server.
GMF 分類法のクラス
分類法の詳細Known AI Goal Snippets
One or more snippets that justify the classification.
(Snippet Text: Cruise’s driverless cars experienced serious issues Tuesday night with as many as 20 of its vehicles standing motionless for about two hours at the corner of Gough and Fulton streets, according to an eyewitness. , Related Classifications: Autonomous Driving)
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