Swiss National Science Fund (SNSF) project, 2025-2029
Performing AI’s goal is to contextualize AI as a dynamic social and cultural artifact that is discursively and practically constituted (that is, performed) in specific contexts and situations. In other words, what does “AI” do, why and how does it do what it does, and what effects does it produce across different disciplines? The project takes the theoretical and conceptual lenses of performance and performativity for navigating AI’s messy entanglements between the social and political, technical and aesthetic.
The project has three core objectives: 1) understand how AI is performed differently in its multiple constitutions (discursive, material, situated) and in/across disciplines; 2) provide interdisciplinary research and training opportunities for a next generation of researchers to grapple with the complex, multi-scalar nature of AI; and (3) explore new forms of critical public engagement with AI across arts, science, policy and technology.
Performing AI will thus study AI’s performances in the making in three sites – the policy space, experimental scientific and artistic research labs, and otherwise mundane spaces. Examining AI in the making, the project explores how AI is discursively enacted in policy and governance and examines the material agency of AI in robotics, artificial life and digital arts where human actors have to interact with machinic systems in real time. It also draws upon and develops ethnographic and ethnomethodological approaches to trace the situated action and production of AI in public settings of the everyday including a museum as well as in hybrid art, science and technology laboratories.
Project Partners:
Anna Jobin (University of Friobourg)
Olivier Glassey (University of Lausanne)
Takashi Ikegami (University of Tokyo)
Christopher Salter (Zurich University of the Arts).