Descripción: Google’s advertising platform, Google Ads, has allegedly been found to be serving ads on AI-generated content farms that often disseminate misinformation. Despite policies prohibiting such practices, reportedly there are approximately 356 out of 393 ads from major brands that were found to be served by Google on these problematic sites. Particularly concerning according to the reporting were instances where Google Ads were found on sites like MedicalOutline.com, which spreads harmful health misinformation.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Google, perjudicó a Subaru , Major brands whose advertisements were found on these sites , GNC , General public y Citigroup.
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
Intentional
Informes del Incidente
Cronología de Informes
El producto publicitario programático de Google, llamado Google Ads, es el mayor intercambio y generó 168 mil millones de dólares en [ingresos publicitarios el año pasado](https://digiday.com/media/the-rundown-here-are-the-2022-global-media…
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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