Descripción: In the run-up to the U.S. primary elections, supporters of Donald Trump shared AI-generated images showing him with Black voters in an attempt to sway African-American votes. These deepfakes, including Trump's distorted hand visuals, were initially created by satirical accounts but were later misappropriated for political disinformation, misleading millions on social media platforms.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Various social media accounts y Trump supporters, perjudicó a Public discourse integrity , General public , Democracy , African-American voters y Black 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
Donald Trump supporters have been sharing AI-generated images of the Republican frontrunner posing with black voters.
In an apparent effort to encourage African-Americans to vote for Trump, dozens of deepfakes have been circulated portrayin…
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.
