A Maximal Correlation Framework for Fair Machine Learning

As machine learning algorithms grow in popularity and diversify to many industries, ethical and legal concerns regarding their fairness have become increasingly relevant. We explore the problem of algorithmic fairness, taking an information–theoretic view. The maximal correlation framework is introd...

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Detalles Bibliográficos
Autores principales: Lee, Joshua, Bu, Yuheng, Sattigeri, Prasanna, Panda, Rameswar, Wornell, Gregory W., Karlinsky, Leonid, Schmidt Feris, Rogerio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027582/
https://www.ncbi.nlm.nih.gov/pubmed/35455124
http://dx.doi.org/10.3390/e24040461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027582/
https://www.ncbi.nlm.nih.gov/pubmed/35455124
http://dx.doi.org/10.3390/e24040461

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