Abstract
As image generators based on diffusion models and Generative Adversarial Networks (GANs) become widely accessible and user-friendly, it is crucial to explore the impact of AI-generated artworks. These creations, which rival traditional works, spark debates about authenticity and legal recognition. Advocates highlight creativity, while skeptics question human authorship. The boundary between AI and traditional art remains contentious, affecting issues of attribution and ownership. In our pilot study, individuals were asked (n = 45) to choose between handmade artworks, co-designed pieces, and text-prompt-generated images. Additionally, participants were inquired whether they could identify AI-generated images (n=30). Our findings reveal that while individuals can often distinguish AI-generated art (accuracy=70.37%), this does not impact their preference.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE International Symposium on Technology and Society, ISTAS 2024 |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331540708 |
| DOIs | |
| Publication status | Published - 29 Oct 2024 |
| Event | 2024 IEEE International Symposium on Technology and Society, ISTAS 2024 - Puebla, Mexico Duration: 18 Sept 2024 → 20 Sept 2024 |
Publication series
| Name | International Symposium on Technology and Society, Proceedings |
|---|---|
| ISSN (Print) | 2158-3404 |
| ISSN (Electronic) | 2158-3412 |
Conference
| Conference | 2024 IEEE International Symposium on Technology and Society, ISTAS 2024 |
|---|---|
| Country/Territory | Mexico |
| City | Puebla |
| Period | 18/09/24 → 20/09/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Ethics and CI
- Generative Art
- Human-computer Interaction
- Interactive Evolutionary Systems