Perspective Beyond · Mind Atlas
Structural Limits of Current AI Integrity Under Regime Change
This paper presents the evolution of the work from large-scale logistics intelligence toward a mathematically grounded early-warning framework for regime change in nonlinear, constrained, and propagation-sensitive systems. Its core contribution is not forecasting, but the integration of three elements into a single operational architecture: early warning of regime weakening, propagation-aware modeling of how local disturbances cascade, and dynamic governance of buffers and capacity to preserve stability before failure becomes visible. In that sense, the paper argues for a shift from optimization-centric thinking to regime-aware operational control — a framing whose architectural foundations are laid in AI Integrity Architecture: Toward Expert-System Envelopes Around Statistical AI — applicable across transport, finance, and enterprise systems.
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→ Admisibilidad contextual
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→ Alerta y respuesta
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→ Frontera de integridad operacional
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→ Activación y cierre de misión
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→ Minimalistic Regime-Aware Early Warning Systems
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A regime signal matters operationally only when its evidence, response window and authorized action are specified, not merely when another alarm layer is added.
← The Anthropology of Tiger Team Activation
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Mission activation may respond to a change in operating assumptions, while remaining distinct from a formal regime-detection result.
← Tiger Teams Model and AI Integrity Management Systems
analogy only
Transformation integrity requires revisiting the assumptions behind the integrity boundary when the intervention changes the operating regime itself.
← AI Integrity Architecture: Toward Expert-System Envelopes Around Statistical AI
editorial comparison
For a complementary reading, see [The structural limits of integrity under regime change](https://tegrity.ai/structural-limits-of-current-ai-integrity-under-regime-change/).
→ Minimalistic Regime-Aware Early Warning Systems
editorial comparison
For a complementary reading, see [Minimalistic Regime-Aware Early Warning Systems](https://tegrity.ai/minimalistic-regime-aware-early-warning-systems/).