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Transparency as design publicity: explaining and justifying inscrutable algorithms
In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We criticize recent attempts to identify the explanation of black box algorithms with making their decisions (post-hoc) interpretable, focusing our discuss...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626372/ https://www.ncbi.nlm.nih.gov/pubmed/34867077 http://dx.doi.org/10.1007/s10676-020-09564-w |