Projects per year
Abstract
Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper we collect and analyse over 3 million prompts and the images they generate. Using natural language processing, topic analysis and visualisation methods we aim to understand collectively how people are using text prompts, the impact of these systems on artists, and more broadly on the visual cultures they promote. Our study shows that prompting focuses largely on surface aesthetics, reinforcing cultural norms, popular conventional representations and imagery. We also find that many users focus on popular topics (such as making colouring books, fantasy art, or Christmas cards), suggesting that the dominant use for the systems analysed is recreational rather than artistic.
Original language | English |
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Title of host publication | Artificial Intelligence in Music, Sound, Art and Design - 13th International Conference, EvoMUSART 2024 Held as Part of EvoStar 2024 Aberystwyth, UK, April 3–5, 2024 Proceedings |
Editors | Colin Johnson, Sérgio M. Rebelo, Iria Santos |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 279-295 |
Number of pages | 17 |
ISBN (Electronic) | 9783031569920 |
ISBN (Print) | 9783031569913 |
DOIs | |
Publication status | Published - 2024 |
Event | International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2024 - Aberystwyth, United Kingdom Duration: 3 Apr 2024 → 5 Apr 2024 Conference number: 13th https://link.springer.com/book/10.1007/978-3-031-56992-0 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 14633 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2024 |
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Abbreviated title | EvoMUSART 2024 |
Country/Territory | United Kingdom |
City | Aberystwyth |
Period | 3/04/24 → 5/04/24 |
Other | held as part of EvoStar 2024 |
Internet address |
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Keywords
- Generative AI
- Prompting
- Visual Arts & Culture
Projects
- 1 Active
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Explainable Artificial Creativity
McCormack, J. (Primary Chief Investigator (PCI)) & Colton, S. (Partner Investigator (PI))
1/03/22 → 28/02/26
Project: Research