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

Vredenburgh, Kate (2022) Freedom at work: understanding, alienation, and the AI-driven workplace. Canadian Journal of Philosophy. ISSN 0045-5091

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Identification Number: 10.1017/can.2021.39

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.

Item Type: Article
Official URL: https://www.cambridge.org/core/journals/canadian-j...
Additional Information: © 2022 The Author
Divisions: Philosophy, Logic and Scientific Method
Subjects: H Social Sciences > HD Industries. Land use. Labor
B Philosophy. Psychology. Religion > B Philosophy (General)
Date Deposited: 19 Jan 2022 12:45
Last Modified: 07 Mar 2022 11:15
URI: http://eprints.lse.ac.uk/id/eprint/113464

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