Descripción: YouTube faced a surge of AI-generated fake news targeting Black celebrities, including fake narratives about Sean “Diddy” Combs and others. These videos, blending AI-generated and manipulated media, amassed millions of views, challenging content moderation efforts and highlighting the spread of disinformation.
Entidades
Ver todas las entidadesAlleged: Unknown generative AI tools creators y Unknown AI text-to-speech technology developers developed an AI system deployed by Variety of YouTube content creators, which harmed Steve Harvey , Sean “Diddy” Combs , General public , Denzel Washington , Black celebrities y Bishop T.D. Jakes.
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
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
YouTube videos using a mix of artificial intelligence-generated and manipulated media to create fake content have flooded the platform with salacious disinformation about dozens of Black celebrities, including rapper and record executive Se…
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.
