A Bayesian Network is a probabilistic graphical model that represents a set of variables and their conditional dependencies using a directed acyclic graph (DAG). It is used for decision-making, probabilistic reasoning, and in various AI applications, such as diagnosing diseases or predicting outcomes. Bayesian Networks provide a framework for understanding uncertainty and making predictions based on evidence.