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Accepted Contribution:

Anatomies of intelligence  
Joana Chicau (Creative Computing Institute, University of the Arts London) Jonathan Chaim Reus (University of Sussex)

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Long abstract:

Anatomies of Intelligence (AoI) is an artistic research project led by Joana Chicau and Jonathan Chaim Reus, who together work to make connections between anatomical knowledge and investigations into the “anatomy” of machine learning and prediction processes.

To support their performative exploration they have developed a custom browser-based software, the Networked Theatre (Chicau and Reus, 2023) used in-person/online audio-visual live-coding performances.

Live-coding, also referred to on-the-fly or just-in-time performance (Blackwell et al., 2022) is a practice where computer code is written live in front of an audience. In these performances, they use a K-means clustering algorithm, operating on a small custom dataset consisting of images and texts collected from historical anatomical research collections and data science publications.

Crucial to their performances is the notion of embodiment, its role in sense-making and as catalyst for reflecting in computational systems. Audience members are invited to experience the clustering algorithm through a sonic and visual journey, bridging AI and anatomy, classification and categorisation, space and distance, optimisation, dimensionality and orientation.

The artists propose to present a short demo of the Networked Theatre, followed by a presentation that will focus on their approach to embodiment, viscerality and reflective awareness.

Project website: https://anatomiesofintelligence.github.io

Video trailer: https://www.youtube.com/watch?v=mzJvtoDVQjk

Bibliography:

Blackwell, A.F., Cocker, E., Cox, G., McLean, A. and Magnusson, T. (2022) Live Coding: A User's Manual. The MIT Press. 

Chicau, J. and Reus, J. (2023) 'Anatomical Intelligence: Live coding as performative dissection', Organised Sound, 28(2), pp. 290-304. doi: 10.1017/S1355771823000481. 

Combined Format Open Panel P163
Sensory interfaces: research through sonic experimentations at the intersection of STS and Design
  Session 2