Seeing Art Through the Eye of the Algorithm: Artificial Intelligence in the Museum
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- Peter Kun,
- Matthias Freiberger,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewAbstract
Artificial Intelligence (AI) techniques are currently receiving much attention in art and curatorship—and in museum experience design. This chapter asks: How can AI affect the experience of art in a museum? Can seeing art through the eye of the algorithm show us something new? We present a range of examples of applications of AI in museum experience design and discuss three main approaches: image analysis, generative AI and critiquing AI. Based on insights from testing and evaluation of former designs, we reflect on the ways in which AI can highlight details and interpretations, synthesise the aesthetics of a large collection or even all of art history—and what it might also obscure and distort.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 227-246Publication milestones
- Published - 18/07/2025
Publication status
Published - 18/07/2025
Publisher
Springer, United States, GermanyBook series
- Book series name: Springer Series on Cultural Computing
ISSN: 2195-9064
ISBN (Print)
978-3-031-89520-3ISBN (Electronic)
978-3-031-89521-0Publication IDs
- Scopus: 105012145555
Host publication title
Transformative Museum ExperiencesPublication metrics
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Citation count
2
Captures
2
Access to documents
License:Unspecified
