"Datasets vs Mindsets: Post-Soviet Explorations of the Digital Control Society
" documents the artistic exploration of boundaries between digital and physical spaces, and the spectrum of phenomena and consequences of the implementations of algorithmic regulation and control tools in the post-Soviet context.
The project aims to present several generations of new media artists from Russia, Ukraine and Kazakhstan.
A huge part of the processes around us are digitized, thus becoming datasets that can be analyzed by a variety of dynamic algorithms which not only recognize and process incoming information, but also identify and predict patterns of change at speeds and scales inaccessible to human perception.
For many post-Soviet countries, digitalisation is proclaimed as one of the main national priorities. However, the local context transforms the understanding and implementation of digital tools in its own way. These algorithms, often based on machine learning, have a number of limitations and the so-called biases, which they have learned from the data on which they were trained