概要: ニュージーランドのタラナキ在住の男性が、クリストファー・ラクソン首相を描いたとされるディープフェイク動画を利用したビットコイン詐欺で22万4000ドルの被害に遭ったとされています。Facebookで共有されたこのAI生成動画は、年金受給者をターゲットにした仮想通貨投資の勧誘を謳っていました。ファイナンシャルアドバイザーを装った詐欺師たちは、被害者のコンピュータにリモートアクセスし、資金移動を容易にするためのアカウントを作成したと報じられています。
Editor Notes: The incident date of 07/15/2024 is an approximation. Reconstructing the timeline of reported events: (1) Sometime in July 2024, a Taranaki, New Zealand resident, Jill Creasy, reportedly encountered a Facebook advertisement featuring a deepfake video of Prime Minister Christopher Luxon promoting cryptocurrency investments targeting superannuitants. (2) Believing the video to be genuine, Creasy responded to the advertisement and was contacted by an individual posing as a financial adviser, who provided instructions on how to invest in Bitcoin. (3) Over the next 26 days, the scammers allegedly gained remote access to Creasy’s computer through software and created accounts in her name on cryptocurrency exchange platforms. (4) The scammers reportedly transferred over $224,000 from Creasy’s accounts to purchase Bitcoin, redirecting the cryptocurrency to wallets under their control. (5) By late August 2024, Creasy reportedly realized she had been defrauded when promised returns failed to materialize, prompting her to report the incident to police and her bank. (6) In October 2024, alleged follow-up attempts by the scammers to extort additional funds were captured on a secret recording that is reportedly shows their tactics to maintain trust and pressure victims into compliance.
Alleged: Deepfake technology developers developed an AI system deployed by Scammers posing as Christopher Luxon と Scammers, which harmed Superannuitants , Pensioners , New Zealanders , Jill Creasy と Elderly investors.
関与が疑われるAIシステム: Facebook と 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
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
Intentional