Leda Cempellin (PhD, Università degli Studi di Parma, Italy) is Professor of Art History at South Dakota State University, USA. Her interdisciplinary research spans late modernism, SoTL in Art History, Museum Studies, collaboration, metacognition, wayfinding, AI, and critical thinking. She is the author of The Ideas, Identity and Art of Daniel Spoerri (2017) and co‑editor of Museum Studies for a Post‑Pandemic World (2024), reflecting her focus on collaborative and transitional practices.Melissa Geiger is Associate Professor of Art History at East Stroudsburg University of Pennsylvania, USA. She studies major paradigm shifts in art, including the impact of photography and Rauschenberg’s Experiments in Art and Technology. Her interdisciplinary approach led to co‑founding the Paragone Society and co‑designing its inaugural conference in collaboration with the University of Michigan, Flint Art Department and the Flint Museum of Art. Geiger also curates exhibitions and engages in community‑based arts initiatives.

• Chapter 1: Introduction. Towards an Integrated Ecosystem: AI and Art History as a Synergic Professional Landscape across Research, Museums, Pedagogy, and Global Perspectives.- PART I: Reframing Art History: Theoretical and Aesthetic Foundations in the Age of AI.- Chapter 2: New Models for Art: AI as a Representational Tool.- Chapter 3: The Human Glitch or Artificialism.- Chapter 4: AI Art, Deskilling and Prosumption.- Chapter 5:Not Touched By Human Hands: Misattributed AI Sentience and the Power of Images.- Chapter6: AI Interventions with a Studio-Sourced Dataset.- PART II: When Art History Meets AI in Museum Practices.- Chapter 7 : AI’s Catalogue Raisonné: Co-Curatorial Approaches to Digital Documentation of Art Collections.- Chapter 8: Curating the Algorithm: An Educational Encounter with AI and Art Exhibitions.- Chapter 9: Recognition as an Epistemic Glass Box: Explainable AI in Museum Contexts.- PART III: AI-Enhanced Pedagogy: Transforming Art History Education.- Chapter 10: From Digital Art History to Artificial Intelligence.- Chapter 11: Computer Vision, Human Vision, and Future Visions: Lessons from AI in the Liberal Arts Classroom.- Chapter 12: Utilising Tree-of-Thought Prompting to Facilitate Self-Reflective Analysis in Undergraduate Media Studies Students.- PART IV: AI-Driven Imagery: Global Insights for the Responsible Advancement of Art History.- Chapter 13: AI and the Colonial Gaze.- Chapter 14: Contextual and Cultural Limitations of Text-to-Image Generators: The Case of East Asia.- Chapter 15: Contextual and Cultural Limitations of Text-to-Image Generators: The Case of East Asia.- Chapter 16: Generative AI for Image-based Academic Use: An LLM-supported Assignment for Information Literacy and Visual Analysis of Indigenous American Fibre Arts.- PART V: Conclusion.- Chapter 17: Looking Ahead: Art History’s Call for Ethical Uses of AI To Build a More Thoughtful, Empathetic, and Responsible Society.