SageMaker Clarify is a feature within AWS SageMaker that addresses one of the most critical issues in machine learning—model fairness and explainability. It helps researchers detect bias in machine learning models and understand how these models make predictions. In the era of responsible AI, ensuring that machine learning models are not only accurate but also equitable is essential. SageMaker Clarify provides both pre-training and post-training bias detection capabilities, as well as model interpretability, allowing researchers to generate explanations for predictions made by their models. This tool is ideal for organizations and researchers focused on producing ethical, transparent, and fair AI systems.