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Generative Artificial Intelligence (Gen-AI) is redefining both the creation of art and the interpretation of cultural heritage. In this paper, we conceptualise AI in a dual role: (1) Art Historian, using AI to reconstruct, reimagine, and annotate historical artworks; and (2) Artist, using AI to produce novel machine-native aesthetics that challenge traditional notions of style and authorship. We review recent advances in diffusion models, neural style transfer, and vision–language systems that enable these capabil...