Description: FaceApp’s algorithm was reported by a user to have predicted different genders for two mostly identical facial photos with only a slight difference in eyebrow thickness.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por FaceApp, perjudicó a FaceApp non-binary presenting users , FaceApp transgender users y FaceApp users.
Estadísticas de incidentes
ID
273
Cantidad de informes
1
Fecha del Incidente
2020-12-24
Editores
Khoa Lam
Applied Taxonomies
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
273
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
Clasificaciones de la Taxonomía CSETv1_Annotator-1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
273
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
2020
Date of Incident Month
The month 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 month, estimate. Otherwise, leave blank.
Enter in the format of MM
12
Date of Incident Day
The day on which the incident occurred. If a precise date is unavailable, leave blank.
Enter in the format of DD
24
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Informes del Incidente
Cronología de Informes
twitter.com · 2020
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
Me gustaría hablar un poco sobre algoritmos, disforia y dismorfia.
He luchado con los algoritmos. A menudo tomo una foto y la paso a través de FaceApp para determinar el género.
Recientemente noté que cuando mis cejas son delgadas, dice que…
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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