fairness-indicators
Fairness Indicators helps objectively assess model fairness for binary and multiclass classifiers with TensorFlow's support. It facilitates data distribution analysis, performance evaluation across user groups, and detailed result slice analysis. Integrating with TensorFlow Data Validation and Model Analysis, plus the What-If Tool, it provides a thorough evaluation framework without overstating capabilities. Explore fairness concerns over time with clear case studies and examples, offering insights for ethical AI integration.
