⚖️ Ethical and Explainable AI: A Comprehensive Analysis

"Ethical, Explainable AI: Analysis," explores the critical need for responsible AI frameworks as artificial intelligence becomes more integrated into society. It emphasizes Fairness, Accountability, and Transparency (FAT) as core principles for trustworthy AI, aiming to mitigate issues like algorithmic bias and the "black box" problem of opaque models. The document outlines various explainable AI (XAI) methodologies, including post-hoc techniques like LIME and SHAP, and the benefits of interp...