概要: シンガポールのローレンス・ウォン首相は、AIが生成したディープフェイク動画や音声クローンが、ウォン首相を仮想通貨詐欺、金儲け計画、PRサービスの宣伝だと偽って描写していると警告を発しました。ソーシャルメディア上で確認されたこれらの操作されたコンテンツは、公開映像やAIによる音声クローンを用いて被害者を欺いていると報じられています。ウォン首相は国民に対し、これらの行為への関与を避け、ScamShieldを通じて詐欺を報告し、警戒を怠らないよう強く求めました。
Editor Notes: This incident is not to be confused with Incident 987, which pertains to another deepfake scam in December 2023 when Wong was Deputy Prime Minister.
Alleged: Unknown deepfake technology developers と Unknown voice cloning technology developers developed an AI system deployed by Scammers impersonating Lawrence Wong と Unknown scammers, which harmed Lawrence Wong と General public of Singapore.
関与が疑われるAIシステム: Unknown voice cloning technology と Unknown deepfake app
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


