Cited by 87Ethics and Social Impacts of AIE-Government and Public ServicesPublic Policy and Administration Research

The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it

König, Pascal D., Wenzelburger, Georg·2021·Technology in Society

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Crossref · 10.1016/j.techsoc.2021.101688

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  • Algorithmic decision-making systems allow linking decision parameters to aggregate outcomes ex ante, which prevents values and voices from being heard early in the development of new systems.

    “König and Wenzelburger (2021, p. 3) highlight that algorithmic decision-making systems allow for “linking decision parameters to aggregate outcomes of decision-making ex ante”, which prevents values and voices from being heard early on in the development new systems.”

    From Legitimacy of Algorithmic Decision-Making: Six Threats and the Need for a Calibrated Institutional Response (2022) · cites this paper as König and Wenzelburger (2021, p. 3)

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Authors
König, P. D., & Wenzelburger, G.
Affiliations
University of Kaiserslautern (DE)
Corresponding author
König, Pascal D.
Venue
Technology in Society
Publisher
Elsevier BV
Published
2021-11
Volume
67
Pages
101688
ISSN
0160-791X (ISSN-L)
OpenAlex
W3193220896
Cited by
87
References
0
Citations by year
2026: 27 · 2025: 12 · 2024: 12 · 2023: 24 · 2022: 10 · 2021: 2
FWCI
15.02
Type
journal article
Language
en
Open access
closed
Locations
  • Technology in Society (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • VU Research Portal (submittedVersion)
Funders
Volkswagen Foundation (19-0087)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Public Administration › Public Policy and Administration Research
Keywords
algorithmic decision-making, public sector, legitimacy gap, procedural legitimacy, stakeholder engagement, participatory technology assessment, algorithmic transparency, algorithmic fairness, administrative decisions, public services

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