On creative practice and generative ai
Co-shaping the development of emerging artistic technologies: Case study
Matjaz Vidmar (The University of Edinburgh)
Drew Hemment (The Alan Turing Institute, The University of Edinburgh)
D.S. Murray-Rust (The University of Edinburgh, TU Delft - Human Technology Relations)
Suzanne R. Black (The University of Edinburgh)
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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 industries, 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 communities and open source, deeper engagement with AI, beyond the human and cultural feedbacks.
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