概要: 香港警察によると、多国籍エンジニアリング会社アラップの財務担当者が、ビデオ通話で同社の最高財務責任者(CFO)になりすますディープフェイク技術を使った詐欺師に騙され、2,500万ドルを送金したと報じられている。
Editor Notes: Note of 05/03/2025: This incident has become a recurring reference for reports on AI-powered scams, particularly when discussing the dangers of deepfake technology in real-time video conferencing. Where possible, reports that even make cursory reference to the incident will be included in this archive. Its emergence as a shorthand in journalism is worthy of note in and of itself for research.
推定: Unknown deepfake technology developers と Unknown deepfake appが開発し提供したAIシステムで、Unnamed multinational company と Unnamed finance employeeに影響を与えた
関与が疑われるAIシステム: Unknown deepfake app
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