Artificial Creativity and Generative Adversarial Networks

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Abstract

This paper argues that although past and current attempts at programming creative machines have yielded noteworthy results, these attempts ultimately fall short of genuine creativity. Most importantly, we are yet to see machines and programs which not only traverse a creative domain to produce novel products, but which do so in a manner which itself is creative and where this creativity is not better ascribed to the creator of the program. Until we know whether it is possible in principle for a machine to achieve these feats, it remains unclear whether genuine artificial creativity is at all possible.
Original languageEnglish
Title of host publicationProceedings of the European Society for Aesthetics
Pages781-796
Number of pages16
Publication statusPublished - 2019

Publication series

NameProceedings of the European Society for Aesthetics
Publishereurosa
Number2019
Volume11
ISSN (Print)1664–5278

Keywords

  • Artificial Creativity
  • Generative Adversarial Networks
  • genuine artificial creativity

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