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ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods

Published in KOPS (University of Konstanz) • Jan 1, 2020
NobleIDNI4P69W50R29S32
Authors:
Udo Schlegel
,
Eren Cakmak
,
Daniel A. Keim

Abstract

Explainable artificial intelligence (XAI) methods aim to reveal the non-transparent decision-making mechanisms of black-box models. The evaluation of insight generated by such XAI methods remains challenging as the applied techniques depend on many factors (e.g., parameters and human interpretation)...

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