Equivalence: An analysis of artists' roles with Image Generative AI from Conceptual Art perspective through an interactive installation design practice
It addresses the problem of understanding how artists adapt to AI technologies in the art world, but it is incremental as it applies an existing framework to a new context without major breakthroughs.
This study analyzed artists' roles with image generative AI by comparing Conceptual Art and AI art processes using a 5P model, exemplified through an interactive installation called 'Equivalence' that converts speech into evolving paintings using Stable Diffusion and NLP.
Over the past year, the emergence of advanced text-to-image Generative AI models has significantly impacted the art world, challenging traditional notions of creativity and the role of artists. This study explores how artists interact with these technologies, using a 5P model (Purpose, People, Process, Product, and Press) based on Rhodes' creativity framework to compare the artistic processes behind Conceptual Art and Image Generative AI. To exemplify this framework, a practical case study titled "Equivalence", a multi-screen interactive installation that converts users' speech input into continuously evolving paintings developed based on Stable Diffusion and NLP algorithms, was developed. Through comprehensive analysis and the case study, this work aims to broaden our understanding of artists' roles and foster a deeper appreciation for the creative aspects inherent in artwork created with Image Generative AI.