| Abstract |
This paper examines how the logic of surveillance capitalism manifests itself within the public sector with a specific interest in how the government's use of data about its citizens may reconfigure rights and power. In Denmark, for example, the public administration relies heavily on the processing of vast quantities of data about the individual and increasingly uses predictive analytics to identify specific areas of intervention, such as fraud or vulnerability, as part of its decision-making processes. Methodologically, the paper uses Denmark as an example of the digital welfare state, including two public sector cases of automated decision support, namely Gladsaxe municipality and the central processing of welfare benefits (Udbetaling Danmark). It further investigates Danish digitalisation strategies, particularly the governments AI strategy from 2019. The case is examined with a view to understand how technology (and automated decision support in particular) is deployed by state actors, which interests it serves, and how it may benefit or disadvantage the individual. Theoretically, the paper leans towards theories of surveillance capitalism, governance in the digital era, and data politics and rights. The paper argues that unless a more critical and human-centric approach to 'smart governance' is taken, the digital welfare state will advance a digital technocracy that treats its citizens as data points suited for calculation and prediction rather than as individuals with agency and rights. |