What question did this study set out to answer?

The aim is to explore the interaction between decision authority and data sovereignty in AI systems within institutional frameworks.

May 1, 2026Open Access

Decision Authority and Data Sovereignty in AI-Converged Institutional and Enterprise Contexts

Puntos clave

The aim is to explore the interaction between decision authority and data sovereignty in AI systems within institutional frameworks.
Cross-system analysis of AI integration in institutional and enterprise contexts.
Assessment of governance, data protection, and ownership in AI frameworks.
Identified key elements of decision authority impacting AI effectiveness.
Outlined challenges in aligning data sovereignty with efficiency and governance in AI systems.

Resumen

This paper details how decision authority and data sovereignty constitute a highest-order neuralgic field within AI-converged institutional and enterprise contexts, requiring a cross-system reading beyond jurisdictional logics, sector-specific perspectives and isolated enterprise use. AI is situated as an embedded architectural question in which efficiency, data protection, governance, ownership, workforce displacement, output quality, guardrails, hosting and model formation enter a shared structural field from the perspective of architectural sovereignty. This text is an excerpt from Architectural Prerequisites for AI Adoption in Institutions and Enterprises, Zenodo, 29 April 2026, DOI: 10.5281/zenodo.19861383.

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