概要: フロリダ州出身のアレクシス・マルティネス=アリザラ容疑者は、レイク・メアリーのスポーツ用品店内でセミノール郡保安官代理に近づき、保安官代理のパトカーに人々が乗り込む様子を映したとされる3秒間のAI生成動画を見せた疑いが持たれている。捜査当局は後に、監視カメラの映像にはそのような出来事は映っていなかったと述べ、地元報道によると、保安官代理は脅威を現実のものとして対応したという。マルティネス=アリザラ容疑者はその後、フロリダ州での複数の容疑で逮捕された。
Alleged: Deepfake technology developers developed an AI system deployed by Alexis Martínez-Arizala, which harmed Seminole County Sheriff’s Office deputy , General public , General public of Florida と Epistemic integrity.
関与が疑われるAIシステム: Deepfake 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
4.3. Fraud, scams, and targeted manipulation
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.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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
Intentional