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Benevolent algorithmic managers

Benevolent algorithmic managers
Benevolent algorithmic managers
Imagine a smart company that aims to align work with worker wellbeing: its recruitment system selects applicants that best fit the company’s values, its task allocation system allocates tasks workers enjoy, and its workplace technology nudges workers to take screen breaks, and helps when they are stuck. By increasing worker satisfaction and motivation, we might imagine, this system also benefits the company’s bottom line. But does this seemingly attractive workplace come at a cost? It may produce benefits for both workers and employers. But this chapter argues that there are fundamental implications for worker autonomy.
artificial intelligence, AI, autonomy, choice, satisfaction, employment, work, productivity, technology
98-107
Oxford University Press
Unruh, Charlotte
a13ae482-e199-48eb-afd3-27fb09d2fb9e
Edmonds, David
Unruh, Charlotte
a13ae482-e199-48eb-afd3-27fb09d2fb9e
Edmonds, David

Unruh, Charlotte (2024) Benevolent algorithmic managers. In, Edmonds, David (ed.) AI Morality. Oxford. Oxford University Press, pp. 98-107. (doi:10.1093/oso/9780198876434.003.0010).

Record type: Book Section

Abstract

Imagine a smart company that aims to align work with worker wellbeing: its recruitment system selects applicants that best fit the company’s values, its task allocation system allocates tasks workers enjoy, and its workplace technology nudges workers to take screen breaks, and helps when they are stuck. By increasing worker satisfaction and motivation, we might imagine, this system also benefits the company’s bottom line. But does this seemingly attractive workplace come at a cost? It may produce benefits for both workers and employers. But this chapter argues that there are fundamental implications for worker autonomy.

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More information

Published date: 18 July 2024
Keywords: artificial intelligence, AI, autonomy, choice, satisfaction, employment, work, productivity, technology

Identifiers

Local EPrints ID: 494517
URI: http://eprints.soton.ac.uk/id/eprint/494517
PURE UUID: 040783ef-9b44-421b-b1bc-ac6e5b7321ef

Catalogue record

Date deposited: 10 Oct 2024 16:31
Last modified: 10 Oct 2024 16:31

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Contributors

Author: Charlotte Unruh
Editor: David Edmonds

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