Practical Explainable AI: Building Trustworthy, Transparent & Unbiased ML Models

This talk was recorded at the Federated & Distributed Machine Learning Conference 2020 where we discuss the growing influence of explainable AI in highly-regulated industries like healthcare, financial services and criminal justice system. We then propose a novel approach to explainability using the open-source python library, explainx, to build a narrative around xAI in production.