Machine Learning and Postcolonial Critique: Homologous Challenges to Sociological Notions of Human Agency

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Machine Learning and Postcolonial Critique : Homologous Challenges to Sociological Notions of Human Agency. / Borch, Christian.

I: Sociology, Bind 57, Nr. 6, 2023, s. 1450-1466.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Borch, C 2023, 'Machine Learning and Postcolonial Critique: Homologous Challenges to Sociological Notions of Human Agency', Sociology, bind 57, nr. 6, s. 1450-1466. https://doi.org/10.1177/00380385221146877

APA

Borch, C. (2023). Machine Learning and Postcolonial Critique: Homologous Challenges to Sociological Notions of Human Agency. Sociology, 57(6), 1450-1466. https://doi.org/10.1177/00380385221146877

Vancouver

Borch C. Machine Learning and Postcolonial Critique: Homologous Challenges to Sociological Notions of Human Agency. Sociology. 2023;57(6):1450-1466. https://doi.org/10.1177/00380385221146877

Author

Borch, Christian. / Machine Learning and Postcolonial Critique : Homologous Challenges to Sociological Notions of Human Agency. I: Sociology. 2023 ; Bind 57, Nr. 6. s. 1450-1466.

Bibtex

@article{17d6d9fe63d0444fb805bd9e60a2e359,
title = "Machine Learning and Postcolonial Critique: Homologous Challenges to Sociological Notions of Human Agency",
abstract = "This article discusses two seemingly unrelated but homologous challenges to established sociological thinking, namely machine learning technologies and postcolonial critique. Both of these confront conventional human-centric sociological notions. Where the rise of machine learning should prompt sociologists to take the agency of nonhuman systems seriously, postcolonial critique challenges the idea of Eurocentric human agency. I discuss whether this dual agency challenge can be addressed through Latour{\textquoteright}s actor-network theory and Luhmann{\textquoteright}s sociological systems theory – both of which explicitly aim to transcend classical human-centric approaches. I argue that Latour{\textquoteright}s work can align with postcolonial sociology. However, despite broadening the notion of agency, his actor-network concept remains strongly human-centric. It merely expands the range of actors with which humans engage rather than analysing interactions among nonhuman actants, such as machine learning systems. In contrast, such interactions can be understood through Luhmann{\textquoteright}s theorisation, which, however, can be subjected to postcolonial critique.",
keywords = "actor-network theory, agency, Latour, Luhmann, machine learning, postcolonial critique, sociological systems theory",
author = "Christian Borch",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2023.",
year = "2023",
doi = "10.1177/00380385221146877",
language = "English",
volume = "57",
pages = "1450--1466",
journal = "Sociology",
issn = "0038-0385",
publisher = "SAGE Publications",
number = "6",

}

RIS

TY - JOUR

T1 - Machine Learning and Postcolonial Critique

T2 - Homologous Challenges to Sociological Notions of Human Agency

AU - Borch, Christian

N1 - Publisher Copyright: © The Author(s) 2023.

PY - 2023

Y1 - 2023

N2 - This article discusses two seemingly unrelated but homologous challenges to established sociological thinking, namely machine learning technologies and postcolonial critique. Both of these confront conventional human-centric sociological notions. Where the rise of machine learning should prompt sociologists to take the agency of nonhuman systems seriously, postcolonial critique challenges the idea of Eurocentric human agency. I discuss whether this dual agency challenge can be addressed through Latour’s actor-network theory and Luhmann’s sociological systems theory – both of which explicitly aim to transcend classical human-centric approaches. I argue that Latour’s work can align with postcolonial sociology. However, despite broadening the notion of agency, his actor-network concept remains strongly human-centric. It merely expands the range of actors with which humans engage rather than analysing interactions among nonhuman actants, such as machine learning systems. In contrast, such interactions can be understood through Luhmann’s theorisation, which, however, can be subjected to postcolonial critique.

AB - This article discusses two seemingly unrelated but homologous challenges to established sociological thinking, namely machine learning technologies and postcolonial critique. Both of these confront conventional human-centric sociological notions. Where the rise of machine learning should prompt sociologists to take the agency of nonhuman systems seriously, postcolonial critique challenges the idea of Eurocentric human agency. I discuss whether this dual agency challenge can be addressed through Latour’s actor-network theory and Luhmann’s sociological systems theory – both of which explicitly aim to transcend classical human-centric approaches. I argue that Latour’s work can align with postcolonial sociology. However, despite broadening the notion of agency, his actor-network concept remains strongly human-centric. It merely expands the range of actors with which humans engage rather than analysing interactions among nonhuman actants, such as machine learning systems. In contrast, such interactions can be understood through Luhmann’s theorisation, which, however, can be subjected to postcolonial critique.

KW - actor-network theory

KW - agency

KW - Latour

KW - Luhmann

KW - machine learning

KW - postcolonial critique

KW - sociological systems theory

U2 - 10.1177/00380385221146877

DO - 10.1177/00380385221146877

M3 - Journal article

AN - SCOPUS:85147502646

VL - 57

SP - 1450

EP - 1466

JO - Sociology

JF - Sociology

SN - 0038-0385

IS - 6

ER -

ID: 336287902