
Explainable AI 101
Explainable AI (XAI) is a set of tools and frameworks that can be used to help you understand how your machine learning models make decisions. This shouldn’t be confused with showing a complete step-by-step deconstruction of an AI model, which can be close to impossible if you’re attempting to trace the millions of parameters used in deep learning algorithms. Rather, XAI aims to provide insights into how models work, so human experts are able to understand the logic that goes into making a decision.









