Ting-Chun Liu (TW/DE) and Leon-Etienne Kühr (DE) are research-based media artists whose practice treats generative systems as material for artistic inquiry, examining them through feedback-driven interventions to reveal the internal dynamics, patterns, and aesthetics that emerge within them. Both graduated with honors with a diploma from the Academy of Media Arts Cologne. Liu (Taipei, Taiwan) is an artistic associate and lecturer at Bauhaus University Weimar, working across audiovisual media and network practices, with a focus on the media specificity of technological systems and how perception, aesthetics, and power propagate through computational processes; he also studied at Taipei National University of the Arts. Kühr (Offenbach, Germany), a media artist and computer scientist, is a research assistant and co-director of the AI Lab at the Offenbach University of Art and Design, with a focus on how machine processes, visualization, and artificial intelligence shape perception and aesthetic experience; he also studied at Bauhaus University Weimar.

Talks

• Art Track #2 Authorship – Ting-Chun Liu & Leon-Etienne Kühr: Steering Through the Inner Residue: Feedback as an Artistic Strategy against Generative Images