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

Kate Vredenburgh

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

Keywords: opacity; explainability; freedom; practical orientation; work (search for similar items in EconPapers)
JEL-codes: J01 R14 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2022-02-09
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Canadian Journal of Philosophy, 9, February, 2022, 52(1), pp. 78 - 92. ISSN: 0045-5091

Downloads: (external link)
http://eprints.lse.ac.uk/113464/ Open access version. (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:113464

Access Statistics for this paper

More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().