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Screen Walk with Ting-Chun Liu & Leon-Etienne Khür
About this film
In this Screen Walk, Leon-Etienne Kühr and Ting-Chun Liu guided us through their experiments with feedback-driven generative AI images in a live coding session. Machine learning systems rely on statistical models that learn from examples and estimate how to reproduce them. The interface for generative AI increasingly operates on a simple input-output principle, reinforcing the illusion of intelligence. However, closer inspection reveals that these are complicated pipelines of interconnected models and algorithms, each influencing the data and steers the outputs in unique ways. Using feedback as a strategy and cybernetics as a framework, Kühr and Liu deconstruct these pipelines. Through programming and analysis, they showed how individual components drive AI generate images and reveal the hidden mechanisms that guide their visual outputs. Screen Walks is a series of live-streamed artist/researcher-led explorations of online spaces and artistic strategies designed to illuminate a thriving – often overlooked – digital cultural scene. A new online collaboration between The Photographers’ Gallery , UK and Fotomuseum Winterthur , Switzerland.
Directors & creators
Screen Walks
Subjects
Screen Walks, Ting-Chun Liu, Leon-Etienne Khür, machine-learning, research, aesthetics
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