Explainable Artificial Intelligence (xai) For Big Data

This Special Issue focuses on the intersection of Explainable Artificial Intelligence (XAI) and Big Data, exploring methods to make complex AI models understandable and transparent. The aim is to enhance the explainability of AI systems dealing with extensive datasets, fostering trust and enabling practical deployment in Big Data contexts. Original research articles and reviews are welcome, with a focus on the scientific background of XAI and its role in overcoming the opacity of AI models.