The XAI Paradox: Balancing Understanding and Complexity
Introduction: In this age of rapid technological advancements, Artificial Intelligence (AI) has taken center stage, revolutionizing various industries. However, AI has often been perceived as a "black box," leaving users in the dark about how it reaches its decisions. Enter Explainable AI (XAI), a fascinating field that aims to shed light on the inner workings of AI models. In this blog, we'll embark on a journey to uncover the magic behind XAI and understand how it works. What is Explainable AI? Explainable AI, as the name suggests, is an approach that allows us to interpret and understand the decisions made by AI models. Traditional AI models, such as deep learning neural networks, are complex and lack transparency, making it challenging to explain the reasoning behind their predictions. Explainable AI seeks to address this issue, offering insights into how AI arrives at its conclusions in a human-understandable manner. The Importance of Explainable AI: Expl...
