Preprint
Autonomy, Authenticity, Authorship and Intention in computer generated art
arXiv, Vol.6 March 2019
Cornell University
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
- Jon McCormack (Author) - Monash UniversityToby Gifford (Author) - Monash UniversityPatrick Hutchings (Author) - Monash University
- Publication details
- arXiv, Vol.6 March 2019
- Publisher
- Cornell University
- DOI
- 10.48550/arxiv.1903.02166
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Business and Creative Industries
- Language
- English
- Record Identifier
- 99713198302621
- Output Type
- Preprint
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