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What is Interpretability?
We argue that artificial networks are explainable and offer a novel theory of interpretability. Two sets of conceptual questions are prominent in theoretical engagements with artificial neural networks, especially in the context of medical artificial intelligence: (1) Are networks explainable, and i...
Autores principales: | Erasmus, Adrian, Brunet, Tyler D. P., Fisher, Eyal |
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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/PMC8654716/ https://www.ncbi.nlm.nih.gov/pubmed/34966640 http://dx.doi.org/10.1007/s13347-020-00435-2 |
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