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Algorithmic models through a representational lens

Title: Algorithmic models through a representational lens
Authors: Kolkman, Daan; van Maanen, Gijs; Sub Human-Centered Computing; Human-Centered Computing
Publication Year: 2025
Subject Terms: Algorithmic representation; algorithms; artificial intelligence; governance; machine learning; materiality; statistical models; Management Information Systems; Cultural Studies; Information Systems; Political Science and International Relations
Description: Although algorithms are imbued with a sense of objectivity and reliability, numerous high-profile incidents have demonstrated their fallibility. In response, many have called for algorithmic governance that mitigates their potential harms. Further, these incidents have inspired studies that consider algorithms as part of wider sociotechnical systems. In this article, we build on such work and focus on how the specific forms of algorithms may facilitate or constrain the ways in which they become embedded within these systems. More specifically, we suggest that (a) algorithms should be understood as models, with (b) divergent forms, and (c) associated representational qualities. We showcase this approach in three critical case studies of algorithmic models used in government: the SAFFIER II model that underpins the Netherlands government’s spending, the Ofqual DCP A-Level grading algorithm that was used (and later abandoned) in lieu of actual secondary school exams in the United Kingdom, and the Risk Classification Model used by the Dutch Tax and Customs Administration to identify social benefit fraud. With the three case studies, we show how the divergent forms of algorithms have implications for their responsiveness and ultimately their solidification in–or dissolution from–socio-technical systems.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 0197-2243
Relation: https://dspace.library.uu.nl/handle/1874/473458
Availability: https://dspace.library.uu.nl/handle/1874/473458
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.ED79CB37
Database: BASE