Image classification is a process in AI where an algorithm is trained to identify and categorize objects or scenes in images. It works by analyzing the pixels and features in an image and comparing them to previously learned patterns to make a prediction about what the image contains. The algorithm uses mathematical concepts such as convolutional neural networks and supervised learning to accurately classify the image into a pre-defined set of categories.