Bayesian Inference is a statistical method used in Artificial Intelligence to update the probability of a hypothesis based on new evidence. It applies Bayes' theorem to combine prior knowledge with observed data, resulting in a revised, more accurate probability estimate. This approach enables models to learn incrementally and improve predictions over time, making it fundamental in probabilistic reasoning and machine learning.