Description: After the “News Feed” algorithm had been overhauled to boost engagement between friends and family in early 2018, its heavy weighting of re-shared content was alleged found by company researchers to have pushed content creators to reorient their posts towards outrage and sensationalism, causing a proliferation of misinformation, toxicity, and violent content.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Facebook, perjudicó a Facebook users y Facebook content creators.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
164
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.2. Pollution of information ecosystem and loss of consensus reality
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
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
En el otoño de 2018, Jonah Peretti, director ejecutivo de la editorial en línea BuzzFeed, envió un correo electrónico a un alto funcionario de Facebook Inc. El contenido más divisivo producido por las editoriales se estaba volviendo viral e…
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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Incidentes Similares
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