概要: Lake Tahoe travelers were allegedly guided by Google Maps into hazardous shortcuts in the mountains during a snowstorm.
推定: Google Mapsが開発し提供したAIシステムで、Google Maps users traveling in Sierra Nevada と Google Maps users traveling in the mountainsに影響を与えた
CSETv1 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
155
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
It appears that Google Maps may have guided weary Lake Tahoe travelers to closed-off and even dangerous roads amid record-setting snowfall.
Social media posts, including from Crystal Kolden, a professor of forest sciences at UC Merced, have…
The road once carried stagecoaches during the Gold Rush, twisting its way through what is now a national forest and an area of the Sierra Nevada known for snowmobiling.
In the winter, the rugged passage, known as the Quincy-La Porte Road or…
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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