Tag: Decoding AI: A

The rise of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized various industries, from healthcare to finance. However, the increasing complexity of AI models, often referred to as "black boxes," presents a significant challenge: understanding why these models make specific decisions. This is where AI Explainability, or Explainable AI (XAI), comes into play. XAI focuses on developing AI systems whose decisions are understandable and interpretable to humans. This blog post delves into the importance, methods, and applications of AI Explainability. Understanding the Need for AI Explainability The Black Box Problem Many advanced AI models, particularly deep learning networks, operate as black boxes. While they can achieve high accuracy, it's difficult to discern the sp...