Description: A social networking platform, Giggle, allegedly collected, shared to third-parties, and used sensitive information and biometric data to verify whether a person is a woman via facial recognition, which critics claimed to be discriminatory against women of color and harmful towards trans women.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado por Kairos e implementado por Giggle, perjudicó a trans women y women of color.
Estadísticas de incidentes
ID
166
Cantidad de informes
2
Fecha del Incidente
2020-02-07
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.
166
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
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
Yes
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.
166
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
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
theverge.com · 2020
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
Una nueva aplicación social llamada Giggle se presenta como una plataforma de redes solo para chicas. Para registrarse, los usuarios deben tomar una selfie. Y si bien eso puede no parecer demasiado invasivo, la aplicación utiliza un "softwa…
businessinsider.com · 2022
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
Una aplicación comercializada para "mujeres" se ha enfrentado a un aluvión de críticas en línea por excluir a las mujeres transgénero con su uso de inteligencia artificial.
Giggle, que se lanzó por primera vez a principios de 2020, según Th…
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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