XAI for Bias Detection

Explainable AI (XAI) is like having a translator between humans and AI systems. It’s a set of processes and methods that allow human users to comprehend and trust the results and outputs created by machine learning algorithms.

XAI describes an AI model, its expected impact, and potential biases in terms that humans can understand.

Think of XAI as the difference between a teacher who just gives you the answer versus one who shows you how they solved the problem step by step. The second approach builds understanding and trust.