IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
Document Type
Poster
Publication Date
Fall 2019
Abstract
I set out to explore how artificial intelligence generated artwork compares to human created artwork. Using CycleGANs, my goal was to create art, and then conduct a Turing Test in order to determine whether or not one could distinguish between A.I. and human art. Using this test, as well as my own observations, I planned to analyze where CycleGANs succeeds in creating art, as well as where it struggles. Following this analysis, I thought more about what the results mean for art moving forward, and if artificial intelligence can truly create art.
Recommended Citation
Abbott, Henry, "Creating Art Using Generative Adversarial Networks" (2019). IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound. Paper 22.
https://digital.kenyon.edu/dh_iphs_ai/22
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This work is licensed under a Creative Commons Attribution 4.0 License.
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