Demystifying Explainable AI (XAI): Understanding the Importance and Future of Interpretable Machine Learning
Introduction Machine learning has played an integral role in the development of artificial intelligence (AI). These systems have demonstrated their ability to automate complex processes and deliver accurate predictions. However, as these systems become increasingly embedded in our daily lives, they also need to be interpretable. Explaining how these systems make decisions and providing insight into their decision-making process is crucial for building trust and understanding. This is where Explainable AI (XAI) comes in. In this article, we will delve into what XAI is, why it is important, and what the future of interpretable machine learning looks like. What is Explainable AI (XAI)? Explainable AI (XAI) is a subfield of machine learning (ML) that seeks to build AI systems that are transparent and explainable. The term "explainability" is used to describe the ability of an AI system to explain its prediction or decision-making process in a manner that is understandable to huma...