Reimagining Art History with Artificial Intelligence
Navigating Limitations and Pioneering New Paths for Innovation
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Beschreibung
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.
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.
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.
Maps AI’s impact across art history’s research, teaching, museum work, and global visual cultures Bridges critical, ethical, cultural, and interdisciplinary perspectives on AI’s potentials and limits Highlights collaborative models where artists, scholars, curators, and AI co shape interpretation and creation
Autor*in
Leda Cempellin
Themen in »Reimagining Art History with Artificial Intelligence«
art history sentience ethics in art ethics in AI curatorial practice digital humanities museums