Abstract
In this paper, the framework of sociodigital sovereignty and an according classification matrix will be presented. Both have been developed on the basis of action regulation and sociotechnical theories in order to analyze and design different aspects of sociodigital sovereignty within sociotechnical systems. By using this matrix, it is possible to identify and address biases and potential conflicts in terms of transparency, reliability, trust, and fairness. The sociotechnical approach presented here addresses the three aspects - human, technology and organization – and will be complemented by an action-theoretical perspective that includes the three aspects of “transparency/explainability”, “confidence of action/efficiency” and “freedom of action/divergence”. This results in a matrix of nine fields in which different facets of sociodigital sovereignity are systematically adressed (e. g. Hartmann & Shajek, 2023). Furthermore, the resulting implications from a use case will be presented in this paper. There, the classification matrix was used in a workshop to analyze a highly automated technical system. Finally, future developments of the framework and the according classification matrix are outlined.
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Schmuntzsch, U., Hartmann, E.A. (2023). Highly Automated and Master of the Situation?! Approach for a Human-Centered Evaluation of AI Systems for More Sociodigital Sovereignty. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_63
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