Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence Abstract Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the decision making process causing these models to be termed as '...