Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition

In many decision-making scenarios, ranging from recreational activities to healthcare and policing, the use of artificial intelligence coupled with the ability to learn from historical data is becoming ubiquitous. This widespread adoption of automated systems is accompanied by the increasing concern...

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Detalles Bibliográficos
Autores principales: Franco, Danilo, Oneto, Luca, Navarin, Nicolò, Anguita, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393832/
https://www.ncbi.nlm.nih.gov/pubmed/34441187
http://dx.doi.org/10.3390/e23081047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393832/
https://www.ncbi.nlm.nih.gov/pubmed/34441187
http://dx.doi.org/10.3390/e23081047

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