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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...

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Detalles Bibliográficos
Autores principales: Loi, Michele, Ferrario, Andrea, Viganò, Eleonora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
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