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.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Facebook, endommagé Facebook users of minority groups and Facebook users.
Statistiques d'incidents
ID
163
Nombre de rapports
2
Date de l'incident
2021-11-21
Editeurs
Sean McGregor, Khoa Lam
Applied Taxonomies
Classifications de taxonomie CSETv1_Annotator-1
Détails de la taxonomieIncident 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
Classifications de taxonomie CSETv1_Annotator-3
Détails de la taxonomieIncident 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
Rapports d'incidents
Chronologie du rapport
wired.com · 2021
- Afficher le rapport d'origine à sa source
- Voir le rapport sur l'Archive d'Internet
En public, Facebook semble affirmer qu'il supprime plus de 90% des discours de haine sur sa plate-forme, mais dans les communications internes privées, l'entreprise affirme que le chiffre n'est que de 3 à 5%. Facebook veut nous faire croire…
washingtonpost.com · 2021
- Afficher le rapport d'origine à sa source
- Voir le rapport sur l'Archive d'Internet
L'année dernière, des chercheurs de Facebook ont montré aux dirigeants un exemple du type de discours de haine circulant sur le réseau social : un message réel présentant une image de quatre législatrices démocrates connues collectivement s…
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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