The Moral Check: Strategic AI Governance for the Pacing Problem

arXiv:2609.22869v1 Announce Type: new Abstract: Technology cannot steer itself. Strategy provides that steering, establishing the rule that purpose and judgment must precede compute capital. As the frontier artificial intelligence (AI) ecosystem accelerates exponentially, the pacing problem induces severe cognitive tunneling in engineering teams, prioritizing scalar throughput over human judgment. A calibrated pacing rate is imperative to check unchecked scaling, guarantee safety, and build models in whose alignment society can place warranted confidence. Traditional oversight fails through retrospective checklists, a pathology of performative governance exhibiting high procedural maturity but alarming scientific immaturity. We deliver a dual contribution: a PRISMA 2020 review synthesizing 130 empirical studies (MMAT-appraised across 18 benchmarks; total corpus N = 130 empirical studies across 178 reference foundations), and the Strategic AI Governance Ex-Ante Framework (SAGE-X). Our synthesis exposes two systemic vulnerabilities: the Recursive Assurance Paradox (correlated, ungrounded evaluator confidence) and the Durability Deficit (guardrail decay under multi-turn shifts). Grounded in MIT Strategic Computing doctrines, SAGE-X operationalizes Four Strategic Mindset Pillars: (1) Intent over Execution (mitigating velocity myopia); (2) Ruthless Trade-offs (deterministic tripwires eliminating moral hazard); (3) Outcomes over Outputs (auditing empirical hazard endpoints); and (4) Proactive Alignment (synchronizing ex-ante gates with runtime telemetry). Governed by a calculable

Proposes framework for AI governance.

The article identifies significant governance challenges in AI scaling that can lead to safety and alignment risks. It proposes a strategic framework (SAGE-X) to improve governance and maintain moral judgment alongside technological progress, which could reduce risks if implemented. However, the benefits depend on adoption and effectiveness, so the implications are cautiously optimistic but uncertain.

This is a theoretical governance framework proposal grounded in a literature review, not evidence of deployed impact. It could modestly improve AI oversight practices if adopted, but the claims are speculative and unproven in practice, with dense jargon obscuring concrete mechanisms.

The article warns that the exponential acceleration of frontier AI development prioritizes throughput over human judgment, creating systemic vulnerabilities. It proposes a framework to ensure progress does not outpace moral judgment, indicating current severe negative implications without such governance. The 'Recursive Assurance Paradox' and 'Durability Deficit' are presented as empirically identified problems.

The paper proposes a framework to ensure AI development is paced and governed by moral judgment. It identifies systemic vulnerabilities and offers solutions to mitigate them. The focus is on aligning AI progress with societal trust and human agency.

SOURCE     arXiv cs.CY (Computers and Society) (tier 1)
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DOCUMENT   cbd8b811-16fe-4f37-8979-e8c61a38e3ba
           https://arxiv.org/abs/2609.22869
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EVIDENCE   2 extracted excerpts
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MODEL RUN  5 runs, methodology 1.0.1
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SCORE      +10  (Mixed or uncertain)
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CONFIDENCE 73%