Explainable AI: Demystifying the Black Box

Overview of Explainable AI (XAI), a field dedicated to making AI systems more transparent, interpretable, and trustworthy. It begins by defining the "black box" problem in AI, distinguishing between systems that are intentionally opaque (e.g., proprietary algorithms) and those that become so due to their inherent complexity (e.g., deep neural networks). The document then details the multifaceted objectives of XAI, which include fostering trust, ensuring accountability, enabling auditability, ...