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Ting-Chun Liu

Ting-Chun Liu works with audio-visual media, network practices, and critical artificial intelligence. He investigates feedback mechanisms in generative processes to reflect on the collective unconscious and the unattainable “ideal” perspective in AI-generated representations. He works as an artistic assistant at the Bauhaus University Weimar and previously studied media arts at the Academy of Media Arts Cologne and New Media Art at the Taipei National University of the Arts.

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Events with this speaker

Day 2
23:00
40m
51 Ways to Spell the Image Giraffe: The Hidden Politics of Token Languages in Generative AI

Generative AI models don't operate on human languages – they speak in **tokens**. Tokens are computational fragments that deconstruct language into subword units, stored in large dictionaries. These tokens encode not only language but also political ideologies, corporate interests, and cultural biases even before model training begins. Social media handles like *realdonaldtrump*, brand names like *louisvuitton*, or even *!!!!!!!!!!!!!!!!* exist as single tokens, while other words remain fragmented. Through various artistic and adversarial experiments, we demonstrate that tokenization is a political act that determines what can be represented and how images become computable through language.

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