“Decoding the Black Box: Exploring Explainable AI and Mitigating Bias in Machine Learning Systems”
Introduction Machine learning systems have revolutionized the way we approach complex problems across industries, from healthcare to finance. However, these systems often operate as “black boxes,” where their decision-making processes are opaque to users and stakeholders. This opacity raises critical questions about trust, accountability, and fairness—issues that are increasingly important in ensuring responsible AI deployment. … Read more