December 13, 2019
Aarhus University, Aarhus DK
Anatomies of Intelligence is a project stemmed from a shared interest in livecoding and real-time algorithmic performance.
Through the project, Reus and Chicau 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 emergence and movement.
The project’s aim is to develop an online repository of terminology and techniques 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 idealized bodies of artificial intelligence.