Explainable AI (XAI)

In-Depth Description

This resource dives into Explainable AI (XAI), a set of techniques that allows humans to understand, trust, and effectively manage the outputs of AI models. It explains why XAI is crucial for critical applications, addressing issues like bias detection, regulatory compliance, and fostering user confidence. The content covers various XAI methods, from model-agnostic approaches to specific techniques for deep learning, providing insights into how practitioners can build more interpretable AI systems.