Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work

27 June 2023

Papers citing "Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work"

2 / 2 papers shown

Title
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 31 113 0 16 Oct 2020