Presenting the arts-based research & development of our DANCR-tool and our AI’s, at the Faculty of Dance at MUK (Music, and Arts University of Vienna)

We are happy and honored to have the opportunity to present and discuss our DANCR-tool with the stage artists from MUK!

DANCR-tool is a critique of AI development through the development of AI for strictly artistic means. We work with contemporary dance becouse we love it, but also as it is especially tough for AI to handle it.

Our DANCR-tool is now developed up to the the third prototype of our improvAI. The next step is to sound the potential of the DANCR-tool and both AIs, the improvAI and die transferAI. Second next, we will refine both our AI’s by our multi-modal data approach.

This is the perfect moment to receive an invitation from the leader of the degree program dance, Nikolaus Selimov, at MUK, to their stage arts and AI initiative. MUK https://muk.ac.at

Presenting the DANCR-tool

At first we gave a swift glance over the whole of the tool with a focus on its output. This is followed by presenting the use of DANCR with its AI’s by means of its application in developing the choreography and the staging of our performance youAI: train, adapt, perform.

Eva-Maria Kraft (Dancer, Choreographer) performed movement sequences with robot Pepper to explain and indicate the evolution of H.A.U.S with robot movements for the dance performance stage: 2017-2021 remote control, top-down programming, programming by demonstration, algorithmic derived pure machine motion, pose estimation system, imitation-system. ©Armin Bardel
Scenery from the performance youAI. Eva-Maria Kraft and Linda Pichler (front), Florian Decker (back right), Maria Mußner, Darja Stoeva (back, left-right) ©Michael Loizenbauer (more here)

Our work is driven by criticism and the development of theory in philosophy, politics, architecture, and spatiality. We took what we learned in those years through the production of our technology and the experiences made to experiment and work towards our own AI-system.

Christoph Hubatschke (Philosophy, Political science) on the implications of questions from the philosophy of technology and politics in tackling AI. ©Armin Bardel
Oliver Schürer (theory of technology, architecture, and spatiality) on the arts-based research methods developed to develop the DANCR-tool and its AI-systems; on the youAI book covering the arts-based research, and further research questions and directions of H.A.U.S. ©Armin Bardel

One hour is too short to present the whole of the DANCR-tool. But we could show the output side of the tool with the generative AI, our improvAI.

The DANCR-tool is a digital system, including two AI-systems, the improvAI and the transferAI. It allows for radically individualised data-retrieval of sets of small-data and the production of numerous AI-models individually trained by one artist only; and more, details are seen here. ©Armin Bardel

Final discussion

(left to right) Simon Meusburger (director Schuberttheater, Vienna) Christoph Hubatschke, Oliver Schürer, Eva-Maria Kraft (all 3 from H.A.U.S.), Kay Voges (director Volkstheater Vienna). ©Armin Bardel

On stage from H.A.U.S.:

Eva-Maria Kraft Choreography, dance

Christoph Hubatschke Philosophy, Political science

Clara Haider Robot supervision, programming, control

Oliver Schürer Theory of technology, architecture, and spatiality