Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Poetics of Artificial Intelligence in Art Practice: (Mis)apprehended Bodies Remixed as Language

gilchrist, Bruce (2022) Poetics of Artificial Intelligence in Art Practice: (Mis)apprehended Bodies Remixed as Language. Doctoral thesis, University of Sunderland.

Item Type: Thesis (Doctoral)


With a focus on the last five years, art employing artificial intelligence (AI) has been defined by a spectrum of activity, from the deep learning explorations of neural network researchers to artists critiquing the broader social implications of AI technology. There is an emergence of and increasing access to new tools and techniques for repurposing and manipulating material in unprecedented ways in art.
At the same time, there is a dearth of language outside the scientific domain with which to discuss it. A combination of contextual review, comparison of artistic approaches, and practical projects explores speculation that the conceptual
repertoire for remix studies can open up to art enabled by AI and machine learning (ML).
This research contributes a practical, conceptual and combinatorial approach for artists who do not necessarily have a grounding in engineering or computer science. A bricolage methodology—described by Annette Markham as combining serendipity, proximity and contingency—reveals the poetics of AI-enabled art in the form of an assemblage of techniques that understands poetics as active making
(poiesis) as well as an approach to manipulating language.
The poetic capacity of AI/ML is understood as an emergent form of remix technique, with the ML at its core functioning like a remix engine. This practice based research presents several projects founded on an interrelation of body, text
Bruce Gilchrist. Poetics of Artificial Intelligence in Art Practice: (Mis)apprehended Bodies Remixed as Language. 3 and predictive technology enabled by a human-action-recognition algorithm combined with a natural language generator. A significant number of artistic works have been made around object and facial recognition, while very little (if any) artist
activity has focused on human-action-recognition. For this reason, I concentrated my research there.

PDF (PhD Thesis)
14711.pdf - Other
Available under License Creative Commons Attribution.

Download (18MB) | Preview
[img] PDF
14711 RDEC.pdf - Other
Restricted to Repository staff only
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (177kB) | Request a copy

More Information

Depositing User: Veronique Laniel


Item ID: 14711

Users with ORCIDS

Catalogue record

Date Deposited: 04 Apr 2022 13:52
Last Modified: 04 Apr 2022 13:52


Author: Bruce gilchrist

University Divisions

Faculty of Arts and Creative Industries


Fine Art

Actions (login required)

View Item View Item