Descripción: AI-generated images available through Adobe Stock, depicting realistic but fictional scenes of real-world events like wars and protests, have raised significant ethical concerns. These images blurred the lines between reality and fiction in journalistic contexts, prompting Adobe Stock to "crack down on AI-generated images that seem to depict real, newsworthy events and take new steps to prevent its images from being used in misleading ways."
Entidades
Ver todas las entidadesAlleged: Various AI image generators developed an AI system deployed by Adobe Stock, which harmed General public , Journalistic integrity y News sources.
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
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Informes del Incidente
Cronología de Informes
Una joven israelí, herida, aferrada angustiada a los brazos de un soldado. Un niño y una niña ucranianos, tomados de la mano, solos entre los escombros de un paisaje urbano bombardeado. Un infierno que se eleva improbablemente desde las agu…
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.
Incidentes Similares
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Incidentes Similares
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