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FairX is a comprehensive benchmarking toolkit for model analysis focused on fairness, utility, and explainability. It includes data loading, custom dataset support, and a suite of fairness models and evaluation metrics to compare AI systems. The project is designed to help researchers assess and compare models for bias and fairness across datasets and settings.
AI named FairX from January 2026 to March 2026.