Descripción: GOP pollster Patrick Ruffini shared AI-generated images depicting Black men supporting the Republican Party just before Black History Month. These fabricated photos misled the public by creating a false narrative of racial diversity within the GOP, undermining trust and potentially influencing voter perceptions. The incident raises significant concerns about the misuse of AI to spread misinformation and manipulate political representation, particularly affecting Black communities.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake creator developed an AI system deployed by Patrick Ruffini, which harmed General public , Democracy , Black Americans y African-American voters.
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes
translated-es-As Republicans' desperate quest for Black friends continues, a GOP pollster is putting the message out that a "Republican victory in 2024" is dependent on the party's to bring Black voters to MAGA Land.
The pollster demonstrat…
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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