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Algorithmic Decision Making in Public Administration: A CSCW-Perspective

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Association for Computing Machinery

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In this paper, I propose a study of algorithmic decision making in public administration from a computer supported cooperative work (CSCW) perspective. Each day the public administration makes thousands of decisions with consequences for the welfare of its citizens. An increasing number of such decisions are supported or made by algorithmic decision making (ADM) systems, yet in the scientific and public sphere there is a growing concern that these algorithms become a 'black box' possibly containing hidden bias (Olsen et al., 2019), obstacles for human discretion (Rason, 2017), low transparency (Alkhatib and Bernstein, 2019) or trust (Mittelstadt et al. 2016). For example, ADM is currently tested in public administration in job placement for the prediction of a citizen's risk of long-term unemployment. Following prior research questioning the usefulness of the black box metaphor, my interest is to understand how caseworkers' and citizens understand ADM, as a basis for design of CSCW technologies employing ADM.

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Flügge, Asbjörn Ammitzböll (2020): Algorithmic Decision Making in Public Administration: A CSCW-Perspective. Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work. DOI: 10.1145/3323994.3371016. Association for Computing Machinery. pp. 15–24. Sanibel Island, Florida, USA

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casework, trust, civic participation, transparency, public administration, algorithmic decision making, collaborative work

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Number of citations to item: 4

  • Houda Elmimouni, Yarden Skop, Norah Abokhodair, Sarah Rüller, Konstantin Aal, Anne Weibert, Adel Al-Dawood, Volker Wulf, Peter Tolmie (2024): Shielding or Silencing?: An Investigation into Content Moderation during the Sheikh Jarrah Crisis, In: Proceedings of the ACM on Human-Computer Interaction GROUP(8), doi:10.1145/3633071
  • Connie W. Chau, Kenneth Holstein, Michael Madaio (2022): Part of the Conversation: Workforce Professionals' Perspectives on the Roles and Impacts of Workforce Technologies, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(6), doi:10.1145/3555135
  • Kelly McConvey, Shion Guha, Anastasia Kuzminykh (2023): A Human-Centered Review of Algorithms in Decision-Making in Higher Education, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544548.3580658
  • Kelly McConvey, Shion Guha (2024): "This is not a data problem": Algorithms and Power in Public Higher Education in Canada, In: Proceedings of the CHI Conference on Human Factors in Computing Systems, doi:10.1145/3613904.3642451
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