概要: In the lead-up to Taiwan's presidential election in January 2024, a deepfake video circulated showing candidate Lai Ching-te endorsing his rivals. Taiwanese intelligence issued warnings of intensified Chinese disinformation campaigns, such as Spamouflage, aimed at manipulating the election outcome.
推定: People's Liberation Army , Chinese Communist Party , Base 311 と Unknown deepfake appsが開発し提供したAIシステムで、Taiwanese voters , Lai Ching-te , Electoral integrity , Democratic Progressive Party と Democracyに影響を与えた
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
4.1. 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
At first, the short video of Lai Ching-te, one of Taiwan's three presidential election candidates, looks like any other campaign interview.
But on closer inspection, his speech is slightly stilted and his message -- endorsing his two rivals…
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