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Strategic Governance Runtime: A Control-Plane Architecture for Accountable Autonomous AI

Year: 2026

Type: preprint

Abstract: AI systems increasingly select and execute actions in non-stationary, partially observable, and high-consequence environments. This technical report presents Strategic Governance Runtime (SRG), a model-agnostic control-plane architecture that mediates proposed actions before execution through policy vetoes, time-aware state, adaptive thresholds, operating modes, outcome attribution, scoped authority and delegation, and decision artifacts. An artifact audit of the public TypeScript prototype at commit 71ff12c2f38baec40adbe5cb8aede2b78aa84392 found that all 194 unit tests pass, while the audited snapshot does not type-check or build and lacks reproducible benchmark evidence. The report therefore characterizes SRG as a research prototype, specifies required assurance invariants, and defines a reproducible validation agenda. This manuscript has not been peer reviewed.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22288755

Author: Alkhaldi, Mohammed Mazyad

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7208705641

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