Description: AI-driven election disinformation is escalating globally, leveraging easy-to-use generative AI tools to create convincing deepfakes that mislead voters. This shift has simplified the process for individuals to generate fake content, having already eroded trust in elections by undermining public trust and manipulating voter perceptions. Evidence has, for example, been documented in incidents across the U.S., Moldova, Slovakia, Bangladesh, and Taiwan.
Editor Notes: This incident ID is for collective incident reports that detail and survey worldwide AI disinformation campaigns rather than just nation, state, or local incidents. Such related incident IDs should when possible be marked as a similar incident ID so that we can connect this ID to the others.
Alleged: Unknown deepfake creators , OpenAI と Google developed an AI system deployed by Russian government , Political operatives , Political consultants と Chinese Communist Party, which harmed Voters , Public trust , Political figures , General public , Electoral integrity , Democracy と Civic society.
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
LONDON (AP) --- Artificial intelligence is supercharging the threat of election disinformation worldwide, making it easy for anyone with a smartphone and a devious imagination to create fake -- but convincing -- content aimed at fooling vot…
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
