Art generation uses computational techniques like machine learning and neural networks to automatically create new visual artworks like images, videos, and 3D models. These systems are trained on large datasets of existing creative works to learn the characteristics and styles. The generated outputs can be unpredictable but are increasingly realistic as the technologies advance.