No surprise that our digital experiences are directly connected with the algorithms and the language it was trained on. Since non-Western languages are not commonly used for training the datasets, we might see the lack of information in the digital environments of those territories. In our project we will train Kazakh language datasets to reflect on the topic of domination of the Russian language until now since the collapse of the Soviet Empire within the global imperialist discourse that we see in the disbalance of big and small language datasets.
We want to create a situation where the performer engages in a dialog with their digital twin – chatbot. The avatar is generating speech with the help of a custom dataset s and on the voice of a performer. We are interested in how we can think of an effective counterculture in this case, if instead of being in confrontation with the dominant cultures, we build a poetical dialog with the small language datasets and postcolonial studies could be poetically merged?
Sorry, ancestors! is a project with custom neural networks, and will be developed and supported by Axolot.cat, as part of the Híbrides: Small Embodied Data residencies program during November 2024.
|