8 Recipes to Handle Data and Machine Learning Bias in Production

Bias in datasets and ML models can result in unfair outcomes. This whitepaper outlines practical steps to detect and address bias, including re-sampling data, clustering correlated features, and using model explanations.

Discover how audit logs, user-friendly interfaces, diverse teams, and AI-enabled processes enhance bias detection and ensure fairness in machine learning applications.