Art History and AI

Ten Axioms

  • Christopher Nygren (Author)
  • Dr. Sonja Drimmer (Author)

Identifiers (Article)

Abstract

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.

Statistics

Section
Language
English
Academic discipline and sub-disciplines
Art History
Type, method or approach
Text
Keywords
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. https://doi.org/10.11588/dah.2023.9.90400.