[ISEA2023] Paper: Varvara Guljajeva, Mar Canet Sola & Isaac Joseph Clarke — Artist-Guided Neural Networks: automated creativity or tools for extending minds?

Abstract

Full Paper, Theme: AI – Generative  Sub theme: Symbiotic Individuations

Artificial Intelligence is present in the generation and distribution of culture. How do artists exploit neural networks? What impact do these algorithms have on artistic practice? Through a practice-based research methodology, this paper explores the potentials and limits of current AI technology, more precisely deep neural networks, in the context of image, text, form and translation of semiotic spaces.

In a relatively short time, the generation of high-resolution images and 3D objects has been achieved. There are models, like CLIP and text2mesh, that do not need the same kind of media input as the output; we call them translation models. Such a twist contributes toward creativity arousal, which manifests itself in art practice and feeds back to the developers’ pipeline. Yet again, we see how artworks act as catalysts for technology development. Those creative scenarios and processes are enabled not solely by AI models, but by the hard work behind implementing these new technologies. AI does not create a ‘push-a-button’ masterpiece but requires a deep understanding of the technology behind it, and a creative and critical mindset. Thus, AI opens new avenues for inspiration and offers novel tool sets, and yet again the question of authorship is asked.

  • Varvara Guljajeva (born in Tartu, Estonia) holds the position of Assistant Professor in Computational Media and Arts at the Hong Kong University of Science and Technology (GZ). Previously she has held positions at the Estonian Academy of Arts and ELISAVA School of Design in Barcelona. Varvara has a PhD in art from the Estonian Academy of Arts. Her dissertation “From interaction to post-participation: the disappearing role of the active participant” can be found here. Varvara has also a master’s degree in digital media from ISNM in Germany and a bachelor’s degree in IT from Estonian IT College. Varvara & Mar is an artist duo formed by Varvara Guljajeva and Mar Canet in 2009. Often duo’s work is inspired by the digital age. In their practice, they confront social changes and the impact of the technological era. In addition to that, Varvara & Mar are fascinated by artificial intelligence, kinetics, audience participation, and digital fabrication, which are integral parts of their work. https://var-mar.info
  • Mar Canet Sola (born in Barcelona, Spain) is PhD candidate in BFM at Tallinn University (Sedtonia) and a research fellow at Cudan Open Lab. He has two degrees: in art and design from ESDI in Barcelona and in computer game development from University Central Lancashire in UK. He also has gained a master’s degree from Interface Cultures at the University of Art and Design Linz. In addition to that, Mar is a co-founder of Derivart and Lummo. Varvara & Mar is an artist duo formed by Varvara Guljajeva and Mar Canet in 2009. Often duo’s work is inspired by the digital age. In their practice, they confront social changes and the impact of the technological era. In addition to that, Varvara & Mar are fascinated by artificial intelligence, kinetics, audience participation, and digital fabrication, which are integral parts of their work. https://var-mar.info
  • Isaac Joseph Clarke https://www.mixcloud.com/Zaklove810