Abstract
The growing in autonomy of AI systems is redefining the artist’s role and responsibilities in the creative process. This paper examines the impact of artificial intelligence on artistic practice, focusing on how varying levels of AI autonomy influence the creative process. Early debates framed AI as either a passive tool or an independent creator, but contemporary discourse emphasizes co-creativity - a collaborative interplay between human vision and computational processes. Through experimental research and qualitative analysis, this study identifies key parallels between conventional and AI-driven creation, including conceptualization, experimentation, iteration, and curation. Findings reveal that as AI gains greater autonomy, the artist’s role shifts toward managing complexity in human-machine collaboration rather than diminishing in importance. While AI expands technical possibilities, human intentionality and conceptual insight remain central to meaningful artistic expression. This research contributes to the discourse on AI and creativity by proposing a framework for understanding artistic co-creation within human-machine ecosystems. It begins by Redefining Art in the Age of AI, followed by an exploration of The Nature of Creative Collaboration, covering the evolution of AI-generated art (3.1), its impact on creativity (3.2), the structure of the creative process (3.3), and levels of AI autonomy (3.4). Subsequent sections detail an Experiment with AI (4), present a critical Discussion (5), and conclude with reflections on the future of human-AI artistry (6).
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
New Media, Technology and the Arts
KEYWORDS
AI Generative art, Creative Art Process, AI Autonomy, Art Theory
