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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: https://researchonline.lse.ac.uk/id/eprint/113464/
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    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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