Description: Facebook’s hate-speech detection algorithms was found by company researchers to have under-reported less common but more harmful content that was more often experienced by minority groups such as Black, Muslim, LGBTQ, and Jewish users.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Facebook, perjudicó a Facebook users of minority groups y Facebook users.
Estadísticas de incidentes
ID
163
Cantidad de informes
2
Fecha del Incidente
2021-11-21
Editores
Sean McGregor, Khoa Lam
Applied Taxonomies
Clasificaciones de la Taxonomía CSETv1_Annotator-1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
163
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2021
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Multiple AI Interaction
“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
no
Embedded
“Yes” if the AI is embedded in a physical system. “No” if it is not. “Maybe” if it is unclear.
no
Clasificaciones de la Taxonomía CSETv1_Annotator-3
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
163
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2015
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Multiple AI Interaction
“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
no
Embedded
“Yes” if the AI is embedded in a physical system. “No” if it is not. “Maybe” if it is unclear.
no
Informes del Incidente
Cronología de Informes
wired.com · 2021
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
En público, Facebook parece afirmar que elimina más del 90 por ciento del discurso de odio en su plataforma, pero en comunicaciones internas privadas, la empresa dice que la cifra es solo un atroz 3 a 5 por ciento. Facebook quiere hacernos …
washingtonpost.com · 2021
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
El año pasado, los investigadores de Facebook mostraron a los ejecutivos un ejemplo del tipo de discurso de odio que circula en la red social: una publicación real con una imagen de cuatro legisladoras demócratas conocidas colectivamente co…
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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