—The advent of artificial intelligence (AI) has revolutionized various domains, including the restoration and digital reconstruction of historical artworks. This paper explores how AI technologies—specifically deep learning, image processing, and neural networks—are employed to digitally reconstruct and restore damaged or incomplete historical artworks. By enhancing images, filling in missing sections, and generating data-driven reconstructions, AI offers new possibilities for art preservation.