Fairness and bias analysis in artificial intelligence systems. Includes methodologies for detecting algorithmic discrimination, fairness metrics for machine learning models, debiasing techniques, assessment of differential impact on protected groups, and compliance with regulatory requirements on non-discrimination and algorithmic transparency in AI.