live performance, web-based catalog, sonified machine learning processes, artistic research

The main repository for this project can be found at https://anatomiesofintelligence.github.io/

A collaboration with Joana Chicau, following from a shared interest in livecoding and real-time algorithmic performance. We research and develop performative techniques for in-situ dissections of machine learning algorithms. To better understand the habitual and fixed objects of machine learning as well as their terminologies, and provide counter-techniques for conditions of embodiment and movement.

In our processual approach, we are continuing to develop an online repository of terminology and techniques, as well as a hand-crafted artistic dataset, for a critical examination of the “anatomy” of learning and prediction processes, data corpus and models of machine learning algorithms. And explore, through performance practice, how such a toolkit can confront the bodies of artificial intelligence.

This research project began in late 2018 through the support of V2_ Lab for the Unstable Media, and has since manifested at Fiber Festival, Amsterdam; Critical Media Lab, Basel; the University of Aarhus NN Research Cluster; ISEA Festival 2022; Santa Mònica, Badalona; and Tanzmesse Internationale 2022, Düsseldorf.

An essay about the work titled “Anatomical Intelligence: Live coding as performative dissection” was published in 2023 as part of a special edition of the journal Organised Sound, “Live Coding Sonic Creativities”.