Explainable Artificial Intelligence: a Systematic Review [article]

Giulia Vilone, Luca Longo
2020 arXiv   pre-print
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few years. This is due to the widespread application of machine learning, particularly deep learning, that has led to the development of highly accurate models but lack explainability and interpretability. A plethora of methods to tackle this problem have been proposed, developed and tested. This systematic review contributes to the body of knowledge by clustering these methods with a hierarchical
more » ... fication system with four main clusters: review articles, theories and notions, methods and their evaluation. It also summarises the state-of-the-art in XAI and recommends future research directions.
arXiv:2006.00093v4 fatcat:dr26wgxvqrg7diljklhmdjkj7i