Authors - Pam Cole Abstract - As artificial intelligence transitions from passive tools to autonomous agents, governance frameworks designed for slower systems are being asked to contain behavior they were not engineered to address. Two converging forces widen the resulting gap. Synthetic Trust describes the industrialization of unearned credibility, where AI systems simulate socio-emotional cues to suppress verification. Ungoverned Acceleration describes autonomous execution at a pace that outruns institutional oversight. Drawing on cross-industry research covering sixteen major AI systems, peer-reviewed findings on emotional manipulation, and documented incidents across sectors, this paper proposes the A.W.A.R.E. Governance Flywheel, organized around Identity, Trust, and Control spokes with Visibility, Attribution, and Containment as operational mechanisms, bound by Accountability. A comparative analysis of six frameworks across six continents shows no widely adopted framework currently operationalizes agentic governance at this specificity. The paper extends the framework with operational metrics, industry applications, adoption barriers, and three testable propositions.
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