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Freedom at work: understanding, alienation, and the AI-driven workplace

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  • Vredenburgh, Kate

Abstract

This paper explores a neglected normative dimension of algorithmic opacity in the workplace and the labor market. It argues that explanations of algorithms and algorithmic decisions are of noninstrumental value. That is because explanations of the structure and function of parts of the social world form the basis for reflective clarification of our practical orientation toward the institutions that play a central role in our life. Using this account of the noninstrumental value of explanations, the paper diagnoses distinctive normative defects in the workplace and economic institutions which a reliance on AI can encourage, and which lead to alienation.

Suggested Citation

  • Vredenburgh, Kate, 2022. "Freedom at work: understanding, alienation, and the AI-driven workplace," LSE Research Online Documents on Economics 113464, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:113464
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    File URL: http://eprints.lse.ac.uk/113464/
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    References listed on IDEAS

    as
    1. World Bank, 2019. "World Development Report 2019 [Rapport sur le développement dans le monde 2019]," World Bank Publications - Books, The World Bank Group, number 30435, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    opacity; explainability; freedom; practical orientation; work; CUP deal;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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