… Explainable Artificial Intelligence is a new research field that aims to provide understandable
artificial intelligence (AI) … More specifically, XAI techniques aim to develop machine learning …

… Meanwhile, in the last couple of years, Explainable Artificial Intelligence (XAI) techniques
have been developed to improve the explainability of machine learning models, such that their …

… has increased the popularity of artificial intelligence (AI). However, … ML-based systems,
explainable artificial intelligence (XAI)-… The explainable AI methods are of varying strengths, and …

… Unfortunately, the explainability of deep learning is low, and … the importance of explainability
in artificial intelligence to gain the trust … in explainable AI for healthcare predictive modeling. …

… , needs, and demands regarding artificial systems (we call … remains unclear how explainability
approaches are supposed … stakeholders calling for explainability of artificial systems and …

Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making, …

… Artificial intelligence (AI) and machine learning (ML) have … of these systems, explainable
artificial intelligence (XAI) has … but with a paucity of explainability and interpretability. The …

… intelligent machines”); Turek, supra note 2 (“Explainable AI—especially explainable machine
learning—… manage an emerging generation of artificially intelligent machine partners.”). 24. …

… Explainable artificial intelligence (XAI) framework In this section, we will give a brief overview
of Explainable Artificial Intelligence (XAI) techniques found in deep learning for medical …

… Artificial intelligence (AI) has branched out to various applications in healthcare, such as …
Hence, explainable artificial intelligence (XAI) has been introduced as a technique that can …