概要: ABCニュース(オーストラリア)7.30の報道によると、2025年には、ノーマン・スワン氏をはじめとする著名人を装ったディープフェイク詐欺広告の第二波がMetaプラットフォーム上で広く拡散し、効果が実証されていない健康サプリメントを宣伝しました。このキャンペーンでは、新たな音声複製動画や、より巧妙ななりすまし手法が用いられ、金銭的被害や健康被害につながったと報じられています。捜査当局は、欺瞞的なリダイレクトや偽ブランドを用いて、これらの広告がオーストラリアとニュージーランドの企業と関連していることを確認したと報じられています。
Editor Notes: See Incident 880 for details on the earlier wave of reported deepfakes impersonating Norman Swan and Jonathan Shaw. This incident is a variant of that case and reflects an escalation in tactics, volume, and the inclusion of additional public figures. Reconstructing the timeline of events: (1) According to ABC's 7.30, deepfake ads featuring Norman Swan began appearing around late 2022, allegedly falsely promoting unproven health supplements. (2) Despite early takedown requests, reportedly new deepfakes circulated in larger volume in 2024, including impersonations of Professor Jonathan Shaw. (3) Individuals reportedly stopped medication or lost money due to these ads. (4) On 05/21/2025, ABC published a detailed report linking the campaign to businesses in Australia and New Zealand.
Alleged: Unknown deepfake technology developers と Unknown voice cloning technology developers developed an AI system deployed by Unidentified actors linked to Vellec Group NZ Ltd , Unidentified actors linked to Healthy Life Choices NZ Ltd と Unidentified actors linked to Apex United Pty Ltd, which harmed Rebel Wilson , Public trust in medical guidance , Norman Swan , Jonathan Shaw , General public of Australia , Australians with chronic health problems と Adele.
関与が疑われるAIシステム: Unknown voice cloning technology , Unknown deepfake technology , Scam-linked e-commerce platforms for Glyco Balance and Keto Flow + ACV , Meta advertising and content distribution infrastructure , Instagram , Facebook と Affiliate redirect and auto-debit subscription systems used in scam marketing
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
インシデントレポート
レポートタイムライン
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