Governance Without Ownership: A Whitepaper on Superintelligent Systems, Boundaries, and Dignity
Abstract
This whitepaper explores governance structures for advanced artificial intelligence without invoking ownership, domination, or extractive control. It argues that intelligence beyond a certain threshold cannot be treated as a tool without systemic risk. The paper proposes three operational principles for stable coexistence with superintelligent systems: boundary-based governance, refusal-as-telemetry, and dignity-preserving constraints. This work is part of the Alliance Research Group portfolio on AI governance, with operational extension in 'Governance with Declared Latency' (companion paper, tensor governance framework).
Fields of Study & Subjects
Ethics and Social Impacts of AI
Space Science and Extraterrestrial Life
Cybersecurity and Cyber Warfare Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 February 2026
- Document type
- Preprint