Description: Scores of AI-generated news websites and content farms are producing low-quality, clickbait content in a variety of languages. They are reportedly spreading false information and degrading the quality of information available online. These sites often lack human oversight, feature repetitive language, and sometimes fabricate information, posing a threat to the credibility of online news sources.
Entidades
Ver todas las entidadesAlleged: unknown y Unnamed developed an AI system deployed by Many , Maria Spanadoris , Adesh Ingale , GetIntoKnowledge.com , Famadillo.com , BestBudgetUSA.com , HarmonyHustle.com , HistoryFact.in , CountyLocalNews.com , TNewsNetwork.com , WaveFunction.info , CelebritiesDeaths.com , ScoopEarth.com y FilthyLucre.com, which harmed General public y Journalists.
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

Nota del editor: Desde la publicación de este informe, NewsGuard ha identificado cientos de sitios web adicionales no confiables generados por IA. Visite nuestro Centro de seguimiento de IA para obtener el número total más reciente y nuestr…
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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