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    Artificial Intelligence in the Capitalist University

    Proposal review

    Academic Labour, Commodification, and Value

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    Author(s)
    Preston, John
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies. Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI’s role in Higher Education. It will be of interest to those working or researching in Higher Education.
    URI
    https://library.oapen.org/handle/20.500.12657/51159
    Keywords
    Higher and further education, tertiary education; Philosophy and theory of education
    DOI
    10.4324/9781003081654
    ISBN
    9781000471496, 9781003081654, 9780367533779, 9781032123622, 9781000471496
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2022
    Grantor
    • Knowledge Unlatched
    Imprint
    Routledge
    Series
    Routledge Studies in Education, Neoliberalism, and Marxism,
    Classification
    Higher education, tertiary education
    Philosophy and theory of education
    Pages
    182
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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