Conference paper
Autonomy, Authenticity, Authorship and Intention in computer generated art
Computational Intelligence in Music, Sound, Art and Design, pp.35-50
Computational Intelligence in Music, Sound, Art and Design, 8th (Leipzig, Germany, 24-Apr-2019 - 26-Apr-2019)
Lecture Notes in Computer Science, 11453, Springer
2019
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.
Details
- Title
- Autonomy, Authenticity, Authorship and Intention in computer generated art
- Authors
- Toby Gifford (Author) - Monash UniversityJon McCormack (Corresponding Author) - Monash UniversityPatrick E Hutchings (Author) - Monash University
- Contributors
- Anikó Ekárt (Editor) - Aston UniversityAntonios Liapis (Editor) - University of MaltaMaría Luz Castro Pena (Editor) - Universidade da Coruña
- Publication details
- Computational Intelligence in Music, Sound, Art and Design, pp.35-50
- Conference details
- Computational Intelligence in Music, Sound, Art and Design, 8th (Leipzig, Germany, 24-Apr-2019 - 26-Apr-2019)
- Series
- Lecture Notes in Computer Science; 11453
- Publisher
- Springer
- DOI
- 10.1007/978-3-030-16667-0_3; 10.1007/978-3-030-16667-0
- ISSN
- 1611-3349
- ISBN
- 9783030166670
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 99713397202621
- Output Type
- Conference paper
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