Description: A viral video falsely attributed allegations of misconduct to Democratic vice-presidential nominee Tim Walz using the stolen identity of a former student, Matthew Metro. The video, circulated on X and other social media platforms, garnered millions of views before being flagged for manipulation. Experts concluded that the video was not AI-generated but involved real actors and potential audio manipulation.
Editor Notes: Incident 824 embodies elements of ambiguity that position it within the framework of the liar's dividend, where the presence of manipulated or falsified content creates confusion and leads both real and fake events to be viewed with skepticism, particularly in the context of AI-related harm discourses. In this case, a viral video using the stolen identity of Matthew Metro falsely accused Tim Walz of misconduct. Although experts concluded the video was not a deepfake, the spread of the fabricated content fueled widespread doubt, with some speculating it might involve deepfake or audio manipulation. The video's apparent legitimacy, which was bolstered by Metro's stolen identity and certain accurate biographical details, created the circumstances whereby false claims could circulate widely, further complicating public perception. The uncertainty surrounding the video reflects a key feature of the liar's dividend: even when experts might confidently rule out the use of AI, the lingering doubt caused by technological manipulation undermines trust in authentic narratives. The existence of disinformation technologies complicates the ability to discern truth.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado por Unknown deepfake technology developer e implementado por Anonymous X user, perjudicó a Tim Walz y Matthew Metro.
Estadísticas de incidentes
ID
824
Cantidad de informes
1
Fecha del Incidente
2024-10-16
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
washingtonpost.com · 2024
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
Matthew Metro no reconoció la cara que apareció en la pantalla de su teléfono celular cuando hizo clic en un enlace que un amigo le envió por mensaje de texto la semana pasada. Pero después de presionar play en el video en línea, quedó cons…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.
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