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Discretion, Automated Decision-Making and Public Values. : Background and Test of an Approach for Unpacking Human and Technological Agency

Ranerup, Agneta and Svensson, Lupita LU (2022) 13391. p.291-306
Abstract
This study aims to develop a theoretical and analytical approach for studying discretion, automated decision-making (ADM) and the consequential public values. This is achieved through our proposed approach, an overview of literature and an empirical test. The context of our empirical test is decisions made about economic support in social work. The research questions are as follows: 1) What are the relevant components in a theoretical and analytical approach with this specific aim? 2) How does human, non-human and joint, ‘hybrid’, agency influence digital discretion and the consequential public values in social work? 3) What are the usefulness and prospective problems with the approach? Our approach enhances the understanding of the ground... (More)
This study aims to develop a theoretical and analytical approach for studying discretion, automated decision-making (ADM) and the consequential public values. This is achieved through our proposed approach, an overview of literature and an empirical test. The context of our empirical test is decisions made about economic support in social work. The research questions are as follows: 1) What are the relevant components in a theoretical and analytical approach with this specific aim? 2) How does human, non-human and joint, ‘hybrid’, agency influence digital discretion and the consequential public values in social work? 3) What are the usefulness and prospective problems with the approach? Our approach enhances the understanding of the ground for discretion in ADM, which is seen as an emergent routine in the form of knowledge about process, and the details of human and non-human actors involved in relation to consequential public values. To develop its usefulness, the approach should primarily be applied in multiple case studies of ‘ín-between’ contexts, such as social work, to generate a theory of the role of human and non-human agency in the consequential public values of ADM. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Electronic Government. EGOV 2022. Lecture Notes in Computer Science
editor
Janssen, M. ; Csaba, C. ; Lindgren, I. ; Loukis, E. ; Melin, U. ; Pereira, G. and Tambouris, E.
volume
13391
pages
16 pages
publisher
Springer
external identifiers
  • scopus:85137990183
ISBN
978-3-031-15085-2
978-3-031-15086-9
DOI
10.1007/978-3-031-15086-9_19
language
English
LU publication?
yes
id
c82ce97e-6232-4336-abc7-f12567c6e621
date added to LUP
2022-09-05 16:31:39
date last changed
2024-12-13 10:15:40
@inbook{c82ce97e-6232-4336-abc7-f12567c6e621,
  abstract     = {{This study aims to develop a theoretical and analytical approach for studying discretion, automated decision-making (ADM) and the consequential public values. This is achieved through our proposed approach, an overview of literature and an empirical test. The context of our empirical test is decisions made about economic support in social work. The research questions are as follows: 1) What are the relevant components in a theoretical and analytical approach with this specific aim? 2) How does human, non-human and joint, ‘hybrid’, agency influence digital discretion and the consequential public values in social work? 3) What are the usefulness and prospective problems with the approach? Our approach enhances the understanding of the ground for discretion in ADM, which is seen as an emergent routine in the form of knowledge about process, and the details of human and non-human actors involved in relation to consequential public values. To develop its usefulness, the approach should primarily be applied in multiple case studies of ‘ín-between’ contexts, such as social work, to generate a theory of the role of human and non-human agency in the consequential public values of ADM.}},
  author       = {{Ranerup, Agneta and Svensson, Lupita}},
  booktitle    = {{Electronic Government. EGOV 2022. Lecture Notes in Computer Science}},
  editor       = {{Janssen, M. and Csaba, C. and Lindgren, I. and Loukis, E. and Melin, U. and Pereira, G. and Tambouris, E.}},
  isbn         = {{978-3-031-15085-2}},
  language     = {{eng}},
  month        = {{08}},
  pages        = {{291--306}},
  publisher    = {{Springer}},
  title        = {{Discretion, Automated Decision-Making and Public Values. : Background and Test of an Approach for Unpacking Human and Technological Agency}},
  url          = {{http://dx.doi.org/10.1007/978-3-031-15086-9_19}},
  doi          = {{10.1007/978-3-031-15086-9_19}},
  volume       = {{13391}},
  year         = {{2022}},
}