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Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers

The pursuit of trust in and fairness of AI systems in order to enable human-centric goals has been gathering pace of late, often supported by the use of explanations for the outputs of these systems. Several properties of explanations have been highlighted as critical for achieving trustworthy and f...

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Detalles Bibliográficos
Autores principales: Albini, Emanuele, Rago, Antonio, Baroni, Pietro, Toni, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117939/
https://www.ncbi.nlm.nih.gov/pubmed/37091304
http://dx.doi.org/10.3389/frai.2023.1099407