Explainable AI (XAI): Escaping the Black Box of AI and Machine Learning

Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Questions like, "What are the processes they adopted, and at what speed? How did they make such autonomous decision?"