Underfitting

A modelling error where a machine learning model is too simple to capture the underlying patterns in the data, resulting in poor performance on both training and test data.

When an AI is too simple to learn the patterns in the data. Like trying to draw a curve with a straight line; it misses important patterns and performs poorly on everything.