A Bayesian Network is a graphical model that represents probabilistic relationships among a set of variables using directed acyclic graphs, allowing for efficient computation of joint probabilities. It is widely used in fields such as machine learning, statistics, and artificial intelligence for tasks like prediction, diagnosis, and decision-making under uncertainty.