Uncoupling Inequality: Reflections on the Ethics of Benchmarks for Digital Media

Our collaboration seeks to demonstrate shared interrogation by exploring the ethics of machine learning benchmarks from a socio-technical management perspective with insight from public health and ethnic studies. Benchmarks, such as ImageNet, are annotated open data sets for training algorithms. The...

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Detalles Bibliográficos
Autores principales: Washington, Anne L., Rhue, Lauren A., Nakamura, Lisa, Stevens, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770006/
https://www.ncbi.nlm.nih.gov/pubmed/36560974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770006/
https://www.ncbi.nlm.nih.gov/pubmed/36560974

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