- Futuring Machines (Bauhaus Forschungswerkstatt)

»Futuring Machines. Practice-based exploration of AI as algorithmic irritation in the context of participatory futures«

Future-oriented, resilient societies require a critical engagement with possible futures. Using an interdisciplinary, practice-based approach, the project Futuring Machines investigates the potential of Human-AI interactions as disruptive thought-provoking impulses to facilitate critical reflection on future scenarios and foster perspective change through the writing of fictions and imaginary stories. To this end, the interdisciplinary team aims to iteratively optimize a large language model and develop an AI-supported writing tool that will be deployed in participatory workshops with diverse actors.

The 1-year project is funded by the Fellowship Forschungswerkstatt of the Bauhaus-Universität Weimar and started on 1.1.2024.

Project team:
Jordi Tost, M.A. — PhD student Faculty Art & Design, associated with HCI group, Fac. of Media
Dr. Johannes Kiesel — PostDoc Professorship Intelligent Information Systems, Fac. of Media
Mattis Kuhn, Dipl. Des. — Artistic Staff, Professorship Cross-media Moving Image, Fac. of Art & Design
Prof. Dr. Eva Hornecker — Professor of HCI, Fac. of Media
Marcel Gohsen, M.Sc. — Research Assistant Professorship Intelligent Information Systems, Fac. of Media
Maximilian Heinrich, M.A. — Research Assistant Professorship Intelligent Information Systems, Fac. of Media
External members:
Britta Schulte (PhD) — Research Assistant Anhalt Univ. of Applied Sciences
Fidel Thomet, M.A. — Research Assistant Urban Complexity Lab, Potsdam Univ. of Applied Sciences