Search Results
Search Results
-
Algorithmic Governmentality, Digital Sovereignty, and Agency Affordances: Extending the Possible Fields of Action
In today’s socio-technical constellations, our daily online and offline lives are increasingly governed by what can be termed algorithmic governmentality. Understood as the governing of the social based on the algorithmic processing of big data, algorithmic governmentality significantly limits human agency and individuals’ abilities to control data inputs and algorithmic outputs. An antidote and a solution to governance of this kind require assembling conditions for enabling digital sovereignty. Seen as a counter-conduct to governmentality, sovereignty concerns agency, control, autonomy, authority, self-reflection, and self-determination. Foregrounded on empirical research that relates specifically to platform algorithms, this article discusses the requirements for the digital sovereignty of individuals and the socio-technical conditions that should enable that sovereignty. By introducing and conceptualizing the notion of agency affordances, the article provides several illustrative examples of how this sovereignty can be inscribed through the technical and unfold via the societal.
-
Editorial: Practicing Sovereignty – Interventions for Open Digital Futures
This issue is dedicated to the Weizenbaum Conference 2022, titled ‘Practicing Sovereignty: Interventions for Open Digital Futures.’ The Weizenbaum Institute’s annual gathering brought together researchers, networks, and collaborators to focus on the theme of ‘digital sovereignty.’ This term, hotly debated and used with varying connotations in fields such as research, activism, law, and policy-making, refers to competencies, duties, and rights in digital societies. The contributions compiled in this issue are based on papers presented at the 2022 conference. They explore notions of digital sovereignty in tension with topics such as AI deepfakes, algorithmic governmentality, ethics and datafication in the context of machine learning, and community-driven open-access publishing in academia.