Artemi-Maria Gioti, Institute for Open Arts, Mozarteum University Salzburg

In this talk, I will draw on autoethnographic accounts of my compositional practice to examine the insights that artistic research in composition can provide into machine learning and data practices. I will focus specifically on the critical perspectives emerging through the creation of datasets, the training of machine learning models and their deployment in live performance settings. Engaging with theoretical frameworks from critical data studies, I will propose a deconstructive critique of data as material, processual, and relational and foreground the aesthetic decisions embedded in data-making processes.

In English

Artemi-Maria Gioti is a composer and artistic researcher conducting critical research at the intersection of music and artificial intelligence (AI). She is Professor of Artistic Research in Music at Mozarteum University Salzburg.

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Idea, conception and organization
Christine Bauer (Professor for Interactive Intelligent Systems at Department of Artificial Intelligence and Human Interfaces (AIHI), Head of Focus area InterMediation | University of Salzburg)
Katarzyna Grebosz-Haring (Systematic musicologist | Focus area InterMediation, nter-University Organization Arts & Knowledgest | Mozarteum University Salzburg)
Martin Losert (Instrumental pedagogue, Head of Department Music Education Salzburg, Head of Focus area InterMediation | Mozarteum University Salzburg)

Die öffentlichen Vorträge werden durch begleitende Termine für Studierende ergänzt (Anmeldung siehe Plus- bzw. Moz-Online LV-Nr. 901.955).