概要: The FBI reported an increase in sextortion cases featuring the use of fake, including AI-generated, images or videos created from content posted on their social media sites or web postings, provided to the malicious actor upon request, or captured during video chats.
Editor Notes: Please also refer to Incident 913: Yahoo Boys Allegedly Using AI-Generated News Videos to Blackmail Sextortion Victims.
Alleged: Unknown deepfake technology developers developed an AI system deployed by Blackmailers , Sextortionists と scammers, which harmed Unnamed victims in sextortion schemes と Teenagers targeted in sextortion scams.
関与が疑われるAIシステム: Unknown deepfake apps
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
The FBI is warning the public of malicious actors creating synthetic content (commonly referred to as "deepfakes") by manipulating benign photographs or videos to target victims. Technology advancements are continuously improving the qualit…
The FBI on Monday warned of the increasing use of artificial intelligence to generate phony videos for use in sextortion schemes that attempt to harass minors and non-consulting adults or coerce them into paying ransoms or complying with ot…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全 に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください
