Nov 28, 2019 · What is explainable AI? Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and …

In summary, Interpretability refers to the user's ability to understand model outputs, while Model Transparency includes Simulatability (reproducibility of predictions), Decomposability (intuitive …

Nov 1, 2023 · Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated applications, but the outcomes of many AI models are challen…

Aug 24, 2025 · Explainable AI is more than a technical solution. It represents a bridge between human understanding and machine intelligence. It allows people to peer into the black box and …

1.1 Background and Importance of Explainable AI (XAI) 1.2 Core Concepts and Definitions of XAI. 1.3 XAI, Transparency, Interpretability, and Fairness in AI. 1.4 Structure of the Book and …

5 days ago · Learn what Explainable AI is, why it matters, and how to build transparent, auditable AI systems for real-world use.

Jan 2, 2026 · 2 Definitions and Importance Explainable Artificial Intelligence can be defined as the XAI as essential for ensuring transparency in the AI systems, which is critical for their ethical …

What is explainable AI (XAI)? Explainable AI (XAI) is an approach to AI system development that ensures users understand how an AI model works. Explainable AI methods describe the …

Jun 27, 2025 · In this review, we focus on the shared goal of explainable artificial intelligence (XAI) methodologies—to make AI more understandable to humans—and leave a detailed …