The School of Art Monday Lectures is a public series of talks by leading national and international artists and thinkers. The School of Art’s practice-led research embodies and critically reflects upon new registers of contemporary art, whilst rearticulating processes and practices associated with established artistic media.
13 Ways of Looking at AI, Art & Music
Over the past decade composer and vocalist Jennifer Walshe has worked with, through and around AI, creating a body of work by turns playful and anarchic, serious and thought-provoking. ULTRACHUNK, a collaboration with the artist and technologist Memo Akten, involved Walshe spending a year creating a bespoke dataset of videos of herself vocalising, in order to train an AI to generate an audiovisual version of herself to improvise with live. In A Late Anthology of Early Music, Vol. 1: Ancient to Renaissance, an album of the year in The Wire, The Quietus and The Irish Times, she used machine learning to re-imagine the early history of Western music. For The Text Score Dataset 1.0, Walshe spent five years collecting over 3,000 text scores to test the ability of different models to produce Fluxus 2.0.
In early 2024 Walshe’s long-form essay 13 Ways of Looking at AI, Art & Music was published by Unsound. The essay offers a unique framework for looking at artwork made using AI, arguing that we should regard such artworks from multiple positions, simultaneously. In this talk, Walshe discusses 13 Ways of Looking at AI, Art & Music, and why AI can be viewed as fan fiction, an energy drink, and, however improbably, boobs.
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Image credit: Photography by derVisagist.com
