Autonomy, authenticity, authorship and intention in computer generated art

Jon McCormack; Toby Gifford; Patrick Hutchings

doi:10.1007/978-3-030-16667-0_3

Autonomy, authenticity, authorship and intention in computer generated art

Jon McCormack, Toby Gifford, Patrick Hutchings

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

38 Citations (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 language	English
Title of host publication	Computational Intelligence in Music, Sound, Art and Design
Subtitle of host publication	8th International Conference, EvoMUSART 2019 Held as Part of EvoStar 2019 Leipzig, Germany, April 24–26, 2019 Proceedings
Editors	Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	35-50
Number of pages	16
ISBN (Electronic)	9783030166670
ISBN (Print)	9783030166663
DOIs	https://doi.org/10.1007/978-3-030-16667-0_3
Publication status	Published - 2019
Event	International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019 - Leipzig, Germany Duration: 24 Apr 2019 → 26 Apr 2019 Conference number: 8th http://www.evostar.org/2019/cfp_evomusart.php https://link.springer.com/book/10.1007/978-3-030-16667-0 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11453
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019
Abbreviated title	EvoMUSART 2019
Country/Territory	Germany
City	Leipzig
Period	24/04/19 → 26/04/19
Internet address	http://www.evostar.org/2019/cfp_evomusart.php https://link.springer.com/book/10.1007/978-3-030-16667-0 (Proceedings)

Keywords

Aesthetics
Authenticity
Authorship
Autonomy
Computer art

Access to Document

10.1007/978-3-030-16667-0_3

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

McCormack, Jon ; Gifford, Toby ; Hutchings, Patrick. / Autonomy, authenticity, authorship and intention in computer generated art. 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. editor / Anikó Ekárt ; Antonios Liapis ; María Luz Castro Pena. Cham Switzerland : Springer, 2019. pp. 35-50 (Lecture Notes in Computer Science ).

@inproceedings{44be7427846b4a29a13d134229f11c7c,

title = "Autonomy, authenticity, authorship and intention in computer generated art",

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 = "Aesthetics, Authenticity, Authorship, Autonomy, Computer art",

author = "Jon McCormack and Toby Gifford and Patrick Hutchings",

year = "2019",

doi = "10.1007/978-3-030-16667-0_3",

language = "English",

isbn = "9783030166663",

series = "Lecture Notes in Computer Science ",

publisher = "Springer",

pages = "35--50",

editor = "Anik{\'o} Ek{\'a}rt and Antonios Liapis and {Castro Pena}, {Mar{\'i}a Luz}",

booktitle = "Computational Intelligence in Music, Sound, Art and Design",

note = "International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019, EvoMUSART 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

url = "http://www.evostar.org/2019/cfp_evomusart.php, https://link.springer.com/book/10.1007/978-3-030-16667-0",

}

McCormack, J, Gifford, T & Hutchings, P 2019, Autonomy, authenticity, authorship and intention in computer generated art. in A Ekárt, A Liapis & ML 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. Lecture Notes in Computer Science , vol. 11453 , Springer, Cham Switzerland, pp. 35-50, International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019, Leipzig, Saxony, Germany, 24/04/19. https://doi.org/10.1007/978-3-030-16667-0_3

Autonomy, authenticity, authorship and intention in computer generated art. / McCormack, Jon; Gifford, Toby; Hutchings, Patrick.
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. ed. / Anikó Ekárt; Antonios Liapis; María Luz Castro Pena. Cham Switzerland: Springer, 2019. p. 35-50 (Lecture Notes in Computer Science ; Vol. 11453 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - Autonomy, authenticity, authorship and intention in computer generated art

AU - McCormack, Jon

AU - Gifford, Toby

AU - Hutchings, Patrick

N1 - Conference code: 8th

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Aesthetics

KW - Authenticity

KW - Authorship

KW - Autonomy

KW - Computer art

UR - http://www.scopus.com/inward/record.url?scp=85064951016&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-16667-0_3

DO - 10.1007/978-3-030-16667-0_3

M3 - Conference Paper

AN - SCOPUS:85064951016

SN - 9783030166663

T3 - Lecture Notes in Computer Science

SP - 35

EP - 50

BT - Computational Intelligence in Music, Sound, Art and Design

A2 - Ekárt, Anikó

A2 - Liapis, Antonios

A2 - Castro Pena, María Luz

PB - Springer

CY - Cham Switzerland

T2 - International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

McCormack J, Gifford T, Hutchings P. Autonomy, authenticity, authorship and intention in computer generated art. In Ekárt A, Liapis A, Castro Pena ML, editors, 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. Cham Switzerland: Springer. 2019. p. 35-50. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-030-16667-0_3

Autonomy, authenticity, authorship and intention in computer generated art

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Generative Materialism: advancing design of the digital and physical

Improvisational interfaces: developing new human-computer creativity

Cite this

Autonomy, authenticity, authorship and intention in computer generated art

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Projects

Generative Materialism: advancing design of the digital and physical

Improvisational interfaces: developing new human-computer creativity

Cite this