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
Unruh, Charlotte
a13ae482-e199-48eb-afd3-27fb09d2fb9e
18 July 2024
Unruh, Charlotte
a13ae482-e199-48eb-afd3-27fb09d2fb9e
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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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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
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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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