AI Fantasy and (Anti) Co-Creative Machines. On Singularity Dadaism, Syntropic Counterpoints and Design

Abstract

The recent step forward in questioning Artificial Intelligence (AI) creativity, enticed by deep learning models such as GPT and Stable Diffusion, instilled into the design community of educators and practitioners the idea of raising new creative practices worth discussion and analysis. Hence, Natural Language Processing (NLP) and computer vision are filled with encounters of interesting creative responses by robots and are becoming a challenging creative medium for artists and designers (Hemanth, 2023). In this paper, we will present several experimental projects in the arts and design that we created to raise and discuss various questions related to the future development of AI imagination (Nikolić, 2019), the liberation of machine creativity (Nikolić & Liu, 2021) and our conceptual approach, which challenges AI aesthetics and machine abstraction (Nikolić & Bertin, 2023). A key novelty in the proposed creative practice is the design of AI clones under novel domains of knowledge to use as a creative medium for machine-supervised content creation (Nikolic, 2021).

Keywords

• generative storytelling
• natural language processing
• artificial intelligence (ai) creativity
• human-ai interaction
• computer vision