(Un)predictable Act of Data in Machine Learning Environments

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(Un)predictable Act of Data in Machine Learning Environments. / Wiehn, Tanja.

In: A Peer-Reviewed Journal About, Vol. 8, No. 1, 04.10.2019, p. 142-152.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Wiehn, T 2019, '(Un)predictable Act of Data in Machine Learning Environments', A Peer-Reviewed Journal About, vol. 8, no. 1, pp. 142-152. https://doi.org/10.7146/aprja.v8i1.115421

APA

Wiehn, T. (2019). (Un)predictable Act of Data in Machine Learning Environments. A Peer-Reviewed Journal About, 8(1), 142-152. https://doi.org/10.7146/aprja.v8i1.115421

Vancouver

Wiehn T. (Un)predictable Act of Data in Machine Learning Environments. A Peer-Reviewed Journal About. 2019 Oct 4;8(1):142-152. https://doi.org/10.7146/aprja.v8i1.115421

Author

Wiehn, Tanja. / (Un)predictable Act of Data in Machine Learning Environments. In: A Peer-Reviewed Journal About. 2019 ; Vol. 8, No. 1. pp. 142-152.

Bibtex

@article{2c7fc8a42ad9460da00b79f8c6409277,
title = "(Un)predictable Act of Data in Machine Learning Environments",
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 = "Tanja Wiehn",
year = "2019",
month = oct,
day = "4",
doi = "10.7146/aprja.v8i1.115421",
language = "English",
volume = "8",
pages = "142--152",
journal = "A Peer-Reviewed Journal About",
issn = "2245-7755",
publisher = "Digital Aesthetics Research Centre / Center for Digital {\AE}stetikforskning",
number = "1",

}

RIS

TY - JOUR

T1 - (Un)predictable Act of Data in Machine Learning Environments

AU - Wiehn, Tanja

PY - 2019/10/4

Y1 - 2019/10/4

N2 - 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.

AB - 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.

U2 - 10.7146/aprja.v8i1.115421

DO - 10.7146/aprja.v8i1.115421

M3 - Journal article

VL - 8

SP - 142

EP - 152

JO - A Peer-Reviewed Journal About

JF - A Peer-Reviewed Journal About

SN - 2245-7755

IS - 1

ER -

ID: 234022666