Description: A Starship food delivery robot crashed into the front bumper of a vehicle waiting at a stoplight intersection in Frisco, Texas, the video of which the company reportedly refused to release.
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
インシデントレポート
レポ ートタイムライン
FRISCO, Texas (NV) – Việc giao thực phẩm bằng xe robot đang được thử nghiệm ngày càng nhiều hơn trên nước Mỹ, gồm cả khu vực Bắc Texas, như ở thành phố Arlington và Frisco.
Việc nhận hàng mà không phải tiếp xúc với ai có vẻ là ý tưởng tốt, …
Food delivery robots have taken to North Texas streets marketed and tested in cities like Arlington and Frisco.
It’s a contactless option that seemed ideal during the pandemic and while the robots mostly travel by sidewalk, they occasionall…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください
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Did our AI mess up? Flag the unrelated incidents