Data and its (dis)contents: A survey of dataset development and use in machine learning research

In this work, we survey a breadth of literature that has revealed the limitations of predominant practices for dataset collection and use in the field of machine learning. We cover studies that critically review the design and development of datasets with a focus on negative societal impacts and poo...

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Detalles Bibliográficos
Autores principales: Paullada, Amandalynne, Raji, Inioluwa Deborah, Bender, Emily M., Denton, Emily, Hanna, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600147/
https://www.ncbi.nlm.nih.gov/pubmed/34820643
http://dx.doi.org/10.1016/j.patter.2021.100336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600147/
https://www.ncbi.nlm.nih.gov/pubmed/34820643
http://dx.doi.org/10.1016/j.patter.2021.100336

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