Exploring gender biases in ML and AI academic research through systematic literature review

Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI) algorithms present promising solutions to a variety of technological and non-technological issues. Although, industry leaders are rapidly adopting these systems for anything from marketing to national defense ope...

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Detalles Bibliográficos
Autores principales: Shrestha, Sunny, Das, Sanchari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593046/
https://www.ncbi.nlm.nih.gov/pubmed/36304961
http://dx.doi.org/10.3389/frai.2022.976838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593046/
https://www.ncbi.nlm.nih.gov/pubmed/36304961
http://dx.doi.org/10.3389/frai.2022.976838

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