概要: マニラの消防隊員は、後にAIによって生成されたと判明した写真の警告を受け、炎上中のトラックと思われる現場に出動したと報じられています。消防局の部隊を含む4台の消防車が現場に到着しましたが、車両は無傷でした。この誤報により、緊急対応リソースが無駄になったとされています。
Alleged: Image generation technology developers developed an AI system deployed by Unknown actor, which harmed Philippines Bureau of Fire Protection , Volunteer firefighters in Manila , General public of Manila と Epistemic integrity.
関与が疑われるAIシステム: Image generation technology
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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
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