The Akaike Information Criterion (AIC) is a measure used in statistical models to compare the goodness of fit of different models, taking into account the complexity of the model by penalizing the number of parameters. It helps in selecting the model that best explains the data with the least amount of information loss, balancing fit and simplicity.