An Introduction to XAI! Towards Trusting Your ML Models!

Machine learning (ML) is currently disrupting almost every industry and is being used as the core component in many systems. The decisions made by these systems may have a great impact on society and specific individuals and thus the decision-making process has to be clear and explainable so humans can trust it. Explainable AI (XAI) is a rather new field in ML in which researchers try to develop models that are able to explain the decision-making process behind ML models. In this talk we'll learn about the fundamentals of XAI and discuss why we need to start to integrate XAI with our ML models!