{"graphSha256":"f29d7b1eedeb88387238d2abda347f810d2179c5fdbead47c3ef48507ab20ca5","node":{"id":"T387","type":"ficha","title":"Structural Limits of Current AI Integrity Under Regime Change","url":"https://dakleyer.github.io/perspective-beyond/sources/structural-limits-of-current-ai-integrity-under-regime-change-t387/","original":"https://tegrity.ai/structural-limits-of-current-ai-integrity-under-regime-change/","aliases":[],"clusters":["tegrity"],"tags":["cambio-regimen","integridad-ia","movilidad"],"summary":"","commit":null,"sourcePath":null,"commitUrl":null,"documentId":"doc-cb3fd1a4927ab92a0a","tagWeights":{"cambio-regimen":0.4583,"integridad-ia":0.3333,"movilidad":0.2084},"reading":"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.","readingSource":{"url":"https://tegrity.ai/structural-limits-of-current-ai-integrity-under-regime-change/","section":"Opening paragraphs","observed":"2026-11-04","sourceSha256":"b0d01c75392d3b98e195f83cef5c904e587d617f402793c21f6869e969521ba5"},"readingSummary":"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.","contextTokens":234},"relations":[["apoyo:T387:C15","T387","C15","documenta el concepto","",null,"apoyo",""],["apoyo:T387:C40","T387","C40","documenta el concepto","",null,"apoyo",""],["apoyo:T387:C81","T387","C81","documenta el concepto","",null,"apoyo",""],["apoyo:T387:C85","T387","C85","documenta el concepto","",null,"apoyo",""],["documento:F018","T387","T1387","analogy only","A regime signal matters operationally only when its evidence, response window and authorized action are specified, not merely when another alarm layer is added.",null,"documento","La correlación de errores depende del caso; no asumir identidad probabilística entre capas ni una alerta universalmente no inferior."],["documento:F041","N1272","T387","analogy only","Mission activation may respond to a change in operating assumptions, while remaining distinct from a formal regime-detection result.",null,"documento","No usar narrativas de urgencia para afirmar que un régimen cambió de forma demostrada ni activar por presión sin capacidad de respuesta."],["documento:F049","N1283","T387","analogy only","Transformation integrity requires revisiting the assumptions behind the integrity boundary when the intervention changes the operating regime itself.",null,"documento","Un cambio no implica automáticamente invalidez total ni demuestra que todo el sistema esté fuera de su región aceptada."],["documento:R164","T385","T387","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/).",null,"documento",""],["documento:R165","T387","T1387","editorial comparison","For a complementary reading, see [Minimalistic Regime-Aware Early Warning Systems](https://tegrity.ai/minimalistic-regime-aware-early-warning-systems/).",null,"documento",""]]}