Incidente 837: translated-es-Fake CNN Broadcast Allegedly Used to Spread False Texas Election Results
Descripción: translated-es-A fabricated CNN broadcast graphic, falsely showing early Texas election results for the 2024 U.S. presidential race, circulated on social media on November 2, 2024. The manipulated image claimed that Vice President Kamala Harris led over Donald Trump before polls opened, fueling misinformation about election integrity. CNN confirmed the image was inauthentic, and AFP debunked the claims.
Entidades
Ver todas las entidadesAlleged: Unknown AI developers developed an AI system deployed by Anonymous X user y James Woods, which harmed CNN , Texas voters , Democracy y Electoral integrity.
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
Pre-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
Una imagen que pretende mostrar a CNN transmitiendo los resultados de las elecciones presidenciales de 2024 en Texas antes del día de las elecciones se está extendiendo por las plataformas, alimentando las afirmaciones de que la contienda f…
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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