Abstract
In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D datasets. The creators of these systems claim a revolution in bringing creativity and art to anyone who can type a prompt. In this position paper, we question the basis for these claims, dividing our analysis into three areas: the limitations of linguistic descriptions, implications of the dataset, and lastly, matters of materiality and embodiment. We conclude with an analysis of the creative possibilities enabled by prompt-based systems, asking if they can be considered a new artistic medium.
| Original language | English |
|---|---|
| Title of host publication | 12th International Conference, EvoMUSART 2023 Held as Part of EvoStar 2023 Brno, Czech Republic, April 12–14, 2023 Proceedings |
| Editors | Colin Johnson, Nereida Rodríguez-Fernández, Sérgio M. Rebelo |
| Place of Publication | Cham Switzerland |
| Publisher | Springer |
| Pages | 196-211 |
| Number of pages | 16 |
| ISBN (Electronic) | 9783031299568 |
| ISBN (Print) | 9783031299551 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2023: held as Part of EvoStar 2023 - Brno, Czechia Duration: 12 Apr 2023 → 14 Apr 2023 Conference number: 12th https://link.springer.com/book/10.1007/978-3-031-29956-8 (Proceedings) https://www.evostar.org/2023/evomusart/ (Website) |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 13988 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2023 |
|---|---|
| Abbreviated title | EvoMUSART 2023 |
| Country/Territory | Czechia |
| City | Brno |
| Period | 12/04/23 → 14/04/23 |
| Internet address |
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Keywords
- Art
- Artificial Intelligence
- Diffusion Models
- Neural Networks
Projects
- 1 Active
-
Explainable Artificial Creativity
McCormack, J. (Primary Chief Investigator (PCI)) & Colton, S. (Partner Investigator (PI))
1/03/22 → 28/02/26
Project: Research
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