Computational Creativity Without Computers

Generative artificial intelligence algorithms and applications pose new challenges to the creativity of artists and educators. This study delves into the aesthetic and methodological contradictions of computational creativity, where issues arise from the clash between Romantic aesthetics and the lack of a proper connection between digital and traditional culture. We posit that achieving an inclusive, sustainable, and creative use of digital media requires the development of aesthetically updated proprietary technology rooted in the cultural identities of its origin. Our research is based on a literature review, software design, and artistic practice, and it highlights the importance of the humanities, ethno-computation, and analogical processes and materials. We argue that technology by itself is insufficient in developing the essential skills needed to value computational creativity in artistic production and education.