Description: Donald Trump shared an AI-generated image on social media that falsely depicted Kamala Harris speaking at a DNC event surrounded by communist imagery including the hammer and sickle of the Soviet Union. The image was intended to undermine Harris ahead of the Democratic National Convention and to suggest that her views are aligned with communism.
Entidades
Ver todas las entidadesAlleged: Unknown image generator developed an AI system deployed by Donald Trump, which harmed Kamala Harris , Democratic National Committee , Electoral integrity y Democracy.
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-Donald Trump has taken a last-minute swipe at Kamala Harris ahead of the first day of the Democratic National Convention (DNC) in Chicago, as he posted an AI-generated image of the vice president speaking to a jam-packed crowd…
El expresidente Trump compartió una foto falsa de la vicepresidenta Harris hablando en un evento comunista en Chicago antes del inicio de la Convención Nacional Demócrata.
Trump publicó la imagen en Truth Social el sábado por la noche y nue…
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.