(Un)predictable acts of data in machine learning environments
Wiehn, Tanja LU
(2019)
In ARPJA A Peer-Reviewed Journal About
8(1).
p.142-152
- Abstract
- This paper investigates artistic representations of machine learning and their interventional potential. Taking its point of departure in two works of art, the paper discusses effects of predictability and unpredictability caused by machine learning systems. By thinking through “eventfulness” (Bucher) and “nonconscious cognition” (Hayles) in human and non-human environments, the paper analyzes the potential of artistic practices to question and rethink algorithmic processing. The paper provides a framework in which artwork challenges forms of technological predictability and comes to terms with machine learning as a fundamental cultural practice in its own right.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3502c6ee-8efe-41ad-8396-a29305f32e51
- author
- Wiehn, Tanja
LU
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- in
- ARPJA A Peer-Reviewed Journal About
- volume
- 8
- issue
- 1
- pages
- 142 - 152
- ISSN
- 2245-7755
- DOI
- 10.7146/aprja.v8i1.115421
- language
- English
- LU publication?
- no
- id
- 3502c6ee-8efe-41ad-8396-a29305f32e51
- date added to LUP
- 2025-03-28 09:58:55
- date last changed
- 2025-04-14 17:07:19
@article{3502c6ee-8efe-41ad-8396-a29305f32e51,
abstract = {{This paper investigates artistic representations of machine learning and their interventional potential. Taking its point of departure in two works of art, the paper discusses effects of predictability and unpredictability caused by machine learning systems. By thinking through “eventfulness” (Bucher) and “nonconscious cognition” (Hayles) in human and non-human environments, the paper analyzes the potential of artistic practices to question and rethink algorithmic processing. The paper provides a framework in which artwork challenges forms of technological predictability and comes to terms with machine learning as a fundamental cultural practice in its own right.}},
author = {{Wiehn, Tanja}},
issn = {{2245-7755}},
language = {{eng}},
number = {{1}},
pages = {{142--152}},
series = {{ARPJA A Peer-Reviewed Journal About}},
title = {{(Un)predictable acts of data in machine learning environments}},
url = {{http://dx.doi.org/10.7146/aprja.v8i1.115421}},
doi = {{10.7146/aprja.v8i1.115421}},
volume = {{8}},
year = {{2019}},
}