New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models

Today, I'm extremely happy to announce Amazon SageMaker Clarify, a new capability of Amazon SageMaker that helps customers detect bias in machine learning (ML) models, and increase transparency by helping explain model behavior to stakeholders and customers. As ML models are built by training algorithms that learn statistical patterns present in datasets, several questions immediately come to mind. First, can we ever hope to explain why our ML model comes up with a particular prediction? Second, what if our dataset doesn't faithfully describe the real-life problem we were trying to model? Could we even detect such issues?