Autonomy, Authenticity, Authorship and Intention in computer generated art
Artificial Intelligence
2019-03-07 v1 Computers and Society
Neural and Evolutionary Computing
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
Cite
@article{arxiv.1903.02166,
title = {Autonomy, Authenticity, Authorship and Intention in computer generated art},
author = {Jon McCormack and Toby Gifford and Patrick Hutchings},
journal= {arXiv preprint arXiv:1903.02166},
year = {2019}
}
Comments
Accepted for EvoMUSART 2019: 8th International Conference on Computational Intelligence in Music, Sound, Art and Design. April 2019, Leipzig, Germany