ARTYficial Intelligence: New Methods for Art History?

 

Authors (in alphabetical order):

  • Jason Armitage - University of Zurich, Zurich, Switzerland
  • Pepe Ballesteros - University of Zurich, Zurich, Switzerland
  • Valentine Bernasconi - University of Zurich, Zurich, Switzerland
  • Eva Cetinic - University of Zurich, Zurich, Switzerland
  • Darío Negueruela - University of Zurich, Zurich, Switzerland
  • Ludovica Schaerf - University of Zurich, Zurich, Switzerland
  • Tristan Weddigen - University of Zurich, Zurich, Switzerland

 

Abstract

 

Artificial Intelligence is currently generating new models for text-prompted image-production at a mesmerizing pace (Dall-E, Stable Diffusion et al.). Most interestingly this technology is being explored and promoted through the medium of visual art with a penchant towards surrealist aesthetics. The team of the Digital Visual Studies project, directed by Tristan Weddigen and Darío Negueruela and based at the University of Zurich, will propose some reflections on the limits and potentials of AI for art history, such as: What notions of visual art are implicit in the datasets and the generated images and shared across communities? How can we describe the specific, emblematic text-image relationship of AI-generated art? Does AI art challenge established concepts of intention and reception? Does the technology offer new methods for art history? At what point are we in the history of art?

 

Bio

The speakers are all part of the Digital Visual Studies (DVS) project at the University of Zurich. Further information about the DVS, its member and its scientific outcomes are available at the DVS website .

 

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