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Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

  • Jon McCormackEmail author
  • Toby Gifford
  • Patrick Hutchings
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11453)

Abstract

This paper examines five key questions surrounding computer generated art. Driven by the recent public auction of a work of “AI Art” we selectively summarise many decades of research and commentary around topics of autonomy, authenticity, authorship and intention in computer generated art, and use this research to answer contemporary questions often asked about art made by computers that concern these topics. We additionally reflect on whether current techniques in deep learning and Generative Adversarial Networks significantly change the answers provided by many decades of prior research.

Keywords

Autonomy Authenticity Computer art Aesthetics Authorship 

Notes

Acknowledgements

This research was support by Australian Research Council grants DP160100166 and FT170100033.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.SensiLab, Faculty of Information TechnologyMonash UniversityCaulfield EastAustralia

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