On creative practice and generative AI: Co-shaping the development of emerging artistic technologies (2024)

Matjaz Vidmar, Drew Hemment, Dave Murray-Rust, Suzanne R. Black

ABSTRACT

In recent years, advances in artificial intelligence (AI) and machine learning have given rise to powerful new tools and methods for creative practitioners. 2022–2023 in particular saw an explosion in generative AI tools, models and use cases. Noting the long history of critical arts engaging with AI, this chapter considers both the application of generative AI in the creative indus-tries, and ways in which artists co-shape the development of these emerging technologies. After reviewing the landscape of generative AI in visual arts, music and games, we propose four areas of critical interest for the future co-shaping of generative AI and creative practice in the areas of communi-ties and open source, deeper engagement with AI, beyond the human and cultural feedbacks.

CITE AS

Vidmar, M., Hemment, D., Murray-Rust, D., & Black, S. R. (2024). On creative practice and generative AI: Co-shaping the development of emerging artistic technologies. In M. Terras, V. Jones, N. Osborne, & C. Speed (Eds.), Data-Driven Innovation in the Creative Industries, pp. 196-218. Routledge. https://doi.org/10.4324/9781003365891-9