Descripción: Meta's AI chatbots have reportedly begun entering online communities on Facebook, providing responses that mimic human interaction. These chatbots, often uninvited, disrupt the human connection critical for support groups by giving misleading or false information and pretending to share lived experiences.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Meta, perjudicó a Facebook users y Facebook users in online support communities.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
5.1. Overreliance and unsafe use
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.
- Human-Computer Interaction
Entity
Which, if any, entity is presented as the main cause of the risk
AI
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
Meta's AI chatbot told a Facebook group of tens of thousands of parents in New York City that it has a child who is both gifted and challenged academically and attends a specific public school in the city.
"Does anyone here have experience …
Un padre hizo una pregunta en un grupo privado de Facebook en abril de 2024: ¿Alguien con un niño superdotado y discapacitado tiene alguna experiencia en las escuelas públicas de la ciudad de Nueva York? El padre recibió una respuesta apare…
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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