Art History and AI

Ten Axioms

  • Christopher Nygren (Author)
  • Dr. Sonja Drimmer (Author)
    University of Massachusetts Amherst

    Sonja Drimmer is Associate Professor of Medieval Art in the Department of the History of Art and Architecture at the University of Massachusetts Amherst. Her research is chiefly concerned with the book arts of the Middle Ages, addressing in particular issues of mediation, collaborative production, and replication. She is the author of The Art of Allusion: Illuminators and the Making of English Literature, 1403–1476 (University of Pennsylvania, 2018), which received High Commendation for Exemplary Scholarship from the Historians of British Art. She is currently working on a monograph devoted to the material culture of politics in late medieval England.

Identifiers (Article)


AI has become an increasingly prevalent tool for researchers working in Digital Art History. The promise of AI is great, but so are the ethical and intellectual issues it raises. Here we propose 10 axioms related to the use of AI in art historical research that scholars should consider when embarking on such projects, and we make some proposals for how these axioms might be integrated into disciplinary conversations.


Academic discipline and sub-disciplines
Art History
Type, method or approach
Computer Vision, Machine Learning, Convolutional Neural Networks, Artificial Intelligence, Research Ethics
How to Cite
Nygren, Christopher, and Sonja Drimmer. 2023. “Art History and AI: Ten Axioms”. International Journal for Digital Art History, no. 9 (April):5.02-5.13.