Divesting Control to the Machine in Digital Art

Abstract

My work explores human-machine collaborations to generate creative outputs. Traditionally, computer agents have been conceived as mere tools to serve the artist. I explore this issue from a different perspective: I aim to research the role of the machine intelligence as a constrain to human control on the creative process. Specifically, I am interested in using forms of machine intelligence to take some of the decisions over the compositional process, leaving the human a limited control on the outcome.

Contributors

Fabio Morreale

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 84-85

Affiliations

Center for Digital Music

Queen Mary University of London, UK

Article

DOI: 10.14236/ewic/EVA2017.16

Copyright statement: © Morreale. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2017, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2017)

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 11 – 13 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2017.16

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing