Description: During Pakistan's 2024 general elections, politically motivated AI-generated deepfakes were circulated. These deepfakes falsely portrayed political figures in misleading contexts, spreading misinformation and aiming to influence voter perceptions and election outcomes.
Alleged: Pakistani political parties , Misinformation networks と Unknown deepfake creator developed an AI system deployed by Pakistani political parties と Misinformation networks, which harmed Rana Atif , Raja Bashara , Naeem Haider Panjutha と Imran Khan.
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
Pakistan's general elections 2024 were held amid the absence of internet services and mobile phone signals sparking concerning statements from global institutions including the U.S., the UK, the European Union (EU), and Amnesty Internationa…
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
