Autonomy, authenticity, authorship and intention in computer generated art

Jon McCormack, Toby Gifford, Patrick Hutchings

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Intelligence in Music, Sound, Art and Design
Subtitle of host publication8th International Conference, EvoMUSART 2019 Held as Part of EvoStar 2019 Leipzig, Germany, April 24–26, 2019 Proceedings
EditorsAnikó Ekárt, Antonios Liapis, María Luz Castro Pena
Place of PublicationCham Switzerland
PublisherSpringer
Pages35-50
Number of pages16
ISBN (Electronic)9783030166670
ISBN (Print)9783030166663
DOIs
Publication statusPublished - 2019
EventInternational Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019 - Leipzig, Germany
Duration: 24 Apr 201926 Apr 2019
Conference number: 8th
http://www.evostar.org/2019/cfp_evomusart.php

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11453
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019
Abbreviated titleEvoMUSART 2019
CountryGermany
CityLeipzig
Period24/04/1926/04/19
Internet address

Keywords

  • Aesthetics
  • Authenticity
  • Authorship
  • Autonomy
  • Computer art

Cite this

McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, authenticity, authorship and intention in computer generated art. In A. Ekárt, A. Liapis, & M. L. Castro Pena (Eds.), Computational Intelligence in Music, Sound, Art and Design: 8th International Conference, EvoMUSART 2019 Held as Part of EvoStar 2019 Leipzig, Germany, April 24–26, 2019 Proceedings (pp. 35-50). (Lecture Notes in Computer Science ; Vol. 11453 ). Springer. https://doi.org/10.1007/978-3-030-16667-0_3