Descripción: An AI-generated audio clip falsely portraying President Biden threatening to send F-15 fighter jets to Texas escalated tensions and spread misinformation. The manipulated audio, shared widely on social media, mimicked Biden's voice and suggested he planned military action against Texas. This incident was another example of a deepfake being used to amplify false narratives, undermining public trust and inflaming political conflicts.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developer developed an AI system deployed by Unknown deepfake creators, which harmed Joe Biden , Texas citizens , Texas officials y General public.
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
AI
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
As tensions simmer between the Texas government and the Biden administration over access to part of the U.S.-Mexico border, some social media users are claiming President Joe Biden threatened to dramatically escalate the issue.
In a Jan. 13…
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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