… explainability as part of AI/ML systems [7]. Then, we will focus on the application of explainability
techniques in industry, … / guidelines for using explainability techniques effectively and …

… of AI, explainable artificial intelligence (XAI) based methods, and applications in Industry 4.0…
The dataset has been extracted using the keyword articles related to “Industry 4.0,” “IoT,” “AI,…

… & tools for providing explainability as part of AI/ML systems [13]. Then… explainability techniques
in industry, wherein we present practical challenges & implications for using explainability …

… Explainable artificial intelligence is needed instead but … technique between blackbox models
and explainable (as well as … retraining the decision trees (explainable models) in between. …

… However, the models require explainability in the learning process. Thus, explainable AI (EXAI)
adds interpretability and improves the diagnosis of critical industrial processes, which …

… In recent years, the explainability and explainable AI have received increasing attention by
both research community and industry. This paper first introduces the history of Explainable AI…

… (XAI) now refers to the core backup for industry to apply AI in products at scale, particularly
… , standing for eXplainable AI, when referencing to the explanation problem in AI. Answering …

… , AI researchers and practitioners have focused their attention on explainable AI to help … In
fact, the field of explainability in AI/ML is at an inflexion point. There is a tremendous need from …

… We discuss the relatively new concept of explainable AI in Section 4 and provide some
insights into the means of incorporating explainability into AI algorithms for Industry 5.0 …

… ABSTRACT At the dawn of the fourth industrial revolution, we are witnessing a fast and …
and rapidly growing body of research related to explainable AI. Through the lens of literature, we …