Dismantling Digital Cages: Examining Design Practices for Public Algorithmic Systems

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Abstract

Algorithmic systems used in public administration can create or reinforce digital cages. A digital cage refers to algorithmic systems or information architectures that create their own reality through formalization, frequently resulting in incorrect automated decisions with severe impact on citizens. Although much research has identified how algorithmic artefacts can contribute to digital cages and their unintended consequences, the emergence of digital cages from human actions and institutions is poorly understood. Embracing a broader lens on how technology, human activity, and institutions shape each other, this paper explores what design practices in public organizations can result in the emergence of digital cages. Using Orlikowski’s structurational model of technology, we found four design practices in observations and interviews conducted at a consortium of public organizations. This study shows that design processes of public algorithmic systems (1) are often narrowly focused on technical artefacts, (2) disregard the normative basis for these systems, (3) depend on involved actors’ awareness of socio-technics in public algorithmic systems, (4) and are approached as linear rather than iterative. These four practices indicate that institutions and human actions in design processes can contribute to the emergence of digital cages, but also that institutional – opposed to technical – possibilities to address their unintended consequences are often ignored. Further research is needed to examine how design processes in public organizations can evolve into socio-technical processes, can become more democratic, and how power asymmetries in the design process can be mitigated.

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APA

Nouws, S., Janssen, M., & Dobbe, R. (2022). Dismantling Digital Cages: Examining Design Practices for Public Algorithmic Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13391 LNCS, pp. 307–322). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15086-9_20

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