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The research aims to propose a new governance framework for AI systems operating in open environments.

February 16, 2026Open Access

The In-Between - A Theory of Relational Governance for Autonomous and Superintelligent Systems

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The research aims to propose a new governance framework for AI systems operating in open environments.
Development of a theory of relational governance through the In-Between concept.
Introduction of operational tools for diagnosing governance issues.
Discussion on three distinct governance modes for agentic systems.
Identifies gaps in traditional governance frameworks for AI.
Suggests the In-Between as a continuous testing ground for alignment.
Highlights the need for calibration in superintelligent systems beyond human oversight.

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Theories demonstrate relational governance enhances accountability for autonomous systems, suggesting a new approach for superintelligent systems.

Oliver Christian Neutert (2026) studied this question.

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Theories demonstrate relational governance enhances accountability for autonomous systems, suggesting a new approach for superintelligent systems.