Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions
Robin Cugny,
Julien Aligon,
Max Chevalier
et al.
Abstract:In recent years, a large number of XAI (eXplainable Artificial Intelligence) solutions have been proposed to explain existing ML (Machine Learning) models or to create interpretable ML models. Evaluation measures have recently been proposed and it is now possible to compare these XAI solutions. However, selecting the most relevant XAI solution among all this diversity is still a tedious task, especially when meeting specific needs and constraints. In this paper, we propose AutoXAI, a framework that recommends … Show more
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