Exploring Human Perception of AI-Generated Artworks
Year: 2024
Type: conference-paper
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.
Institution: Utrecht University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4403864425