This anthology examines how AI and Art History intersect across research, museums, pedagogy, and global perspectives, revealing potential and limits in the interpretation of visual culture. Chapters explore new models for art, artificialism, deskilling, prosumption, AI-generated imagery, and questions of sentience, alongside studio-sourced datasets and representational tools. Museum-focused essays address AI’s catalogue raisonné, curating algorithms, and explainable AI, while teaching-focused contributions analyze digital art history, computer vision, and Tree-of-Thought prompting. Global case studies consider the colonial gaze, information literacy, cultural constraints of text-to-image generation and text-prompted image retrieval. The volume highlights Art History’s leadership guiding critical, ethical, empathetic AI uses.