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, AIgenerated imagery, and questions of sentience, alongside studio-sourced datasets and representational tools. Museumfocused essays address AIs catalogue raisonné, curating algorithms, and explainable AI, while teachingfocused contributions analyze digital art history, computer vision, and TreeofThought prompting. Global case studies consider the colonial gaze, information literacy, cultural constraints of texttoimage generation and textprompted image retrieval. The volume highlights Art Historys leadership guiding critical, ethical, empathetic AI uses.
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 : AIs 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
Historys Call for Ethical Uses of AI To Build a More Thoughtful, Empathetic,
and Responsible Society.
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 coeditor of Museum Studies for a PostPandemic 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 Rauschenbergs Experiments in Art and Technology. Her interdisciplinary approach led to cofounding the Paragone Society and codesigning 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 communitybased arts initiatives.
