概要: A TikTok account, "Amandine Le Pen," created using AI deepfake technology, impersonated a fictional niece of Marine Le Pen, amassing over 30,000 followers. The account spread pro-RN messages and solicited donations, misleading users and exploiting political influence. Visual inconsistencies revealed the deepfake, raising concerns about AI misuse for political manipulation, identity theft, and violation of personal rights, especially with similar accounts proliferating, such as "Lena Maréchal Lepen."
Alleged: Unknown deepfake creators developed an AI system deployed by Unknown TikTok user, which harmed Le Pen family と French general public.
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
4.1. Disinformation, surveillance, and influence at scale
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
Deepfakes of young women allegedly members of the Le Pen family promoting French far-right parties went viral online, escalating the debate around the effectiveness of content moderation ahead of the EU elections in June.
Amid the latest op…
Avec ses plus de 30'000 abonnés, Amandine Le Pen (le compte a été modifié puis banni après la publication de cet article, ndlr) a construit une solide communauté sur TikTok. Elle se présente comme une "fière Française" qui adore "sa tata", …
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
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