What question did this study set out to answer?

The aim is to define and implement authority control for AI systems to limit what they can assert and execute.

January 20, 2026Open Access

ARC-S: Architectural Authority Control for Intelligent Systems Constraining Assertion, Decision, and Action Beyond Capability Scaling

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The aim is to define and implement authority control for AI systems to limit what they can assert and execute.
Introduced the ARC-S authority control framework
Defined jurisdictional authority boundaries for AI
Implemented enforceable invariants and auditable control flows
Utilized pre-generation classification and refusal-first failure modes
ARC-S prevents unauthorized assertions and actions by AI
Successfully constrains execution paths independent of AI capabilities
Fails closed under conditions of epistemic ambiguity

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Implication

This work introduces ARC-S, a system-level authority control architecture that constrains AI assertions and actions, suggesting a new governance approach for intelligent systems.

Cite This Study

Deusdedit Ruhangariyo (2026) studied this question.

synapsesocial.com/papers/696f1a629e64f732b51eea2f https://doi.org/10.5281/zenodo.18291358

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Implication

This work introduces ARC-S, a system-level authority control architecture that constrains AI assertions and actions, suggesting a new governance approach for intelligent systems.

ARC-S: Architectural Authority Control for Intelligent Systems Constraining Assertion, Decision, and Action Beyond Capability Scaling

Key Points

Discussion

Implication

Cite This Study

ARC-S: Architectural Authority Control for Intelligent Systems Constraining Assertion, Decision, and Action Beyond Capability Scaling

Key Points

Discussion

Implication

Cite This Study

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