AI Explainability -- Explained

Machine learning (ML) is powerful. Its models and their interpretability have been the subject of increasing attention over the last few years, as they have grown more powerful and widely used. With the right data, machine learning models can predict new data extremely well with little to no interpretability, but interpretability is important for many reasons. Model interpretability allows us to address some of our most fundamental questions about the predictions that a model makes: What features did you learn? Why did you make this prediction?