As machine learning (ML) becomes increasingly embedded in decision-making systems, concerns about fairness, accountability, and transparency have taken center stage. Bias in ML models can lead to unfair outcomes, particularly in sensitive domains like healthcare, hiring, law enforcement, and lending. To…
