Descripción: Amazon’s Kindle Unlimited young adult romance bestseller list was flooded with allegedly AI-generated books that made little to no sense, disrupting the rankings. These books were reported to be "clearly there to click farm." Despite being removed from the bestseller list, many remained available for purchase. The incident raised concerns about the integrity of the platform, and the potential financial impact on legitimate authors.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por unknown, perjudicó a Authors , Amazon Customers y Amazon.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
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
La lista de libros más vendidos de romance para adultos jóvenes Kindle Unlimited de Amazon estuvo llena con docenas de libros sin sentido generados por IA el lunes y martes. Hasta el miércoles por la mañana, Amazon parecía haber tomado medi…
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.