Wickstrøm, Kristoffer Knutsen; Höhne, Marina Marie-Claire (Journal article; Tidsskriftartikkel, 2023)
Explainable AI (XAI) is a rapidly evolving field that aims to improve transparency and trustworthiness
of AI systems to humans. One of the unsolved challenges in XAI is estimating the performance of these
explanation methods for neural networks, which has resulted in numerous competing metrics with little
to no indication of which one is to be preferred. In this paper, to identify the most reliable ...