Fairness-aware machine learning engineering: how far are we?

Machine learning is part of the daily life of people and companies worldwide. Unfortunately, bias in machine learning algorithms risks unfairly influencing the decision-making process and reiterating possible discrimination. While the interest of the software engineering community in software fairne...

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Detalles Bibliográficos
Autores principales: Ferrara, Carmine, Sellitto, Giulia, Ferrucci, Filomena, Palomba, Fabio, De Lucia, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673752/
https://www.ncbi.nlm.nih.gov/pubmed/38027253
http://dx.doi.org/10.1007/s10664-023-10402-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673752/
https://www.ncbi.nlm.nih.gov/pubmed/38027253
http://dx.doi.org/10.1007/s10664-023-10402-y

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