Incidente 879: translated-es-Deepfake Video Reportedly Depicts U.S. Congressman Rob Wittman Endorsing Military Support for Taiwan's Democratic Progressive Party
Descripción: translated-es-A deepfake video is reported to have falsely depicted U.S. Congressman Rob Wittman endorsing military support for Taiwan’s Democratic Progressive Party candidates in the 2024 presidential election. Shared on TikTok, the video is reported to have undermined Taiwanese voter confidence in the DPP by alleging U.S. interference. Fact-checking from AFP finds Wittman never made the statements attributed to him.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developer developed an AI system deployed by Unknown actors in China, which harmed Taiwanese voters , Rob Wittman y Democratic Progressive Party.
Sistema de IA presuntamente implicado: Unknown deepfake app
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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
Informes del Incidente
Cronología de Informes
La afirmación: Un video deepfake del 29 de diciembre de 2023 muestra al congresista estadounidense Rob Wittman respaldando el apoyo militar a Taiwán si los candidatos del gobernante Partido Democrático Progresista (DPP) salen victoriosos e…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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