{"graphSha256":"f29d7b1eedeb88387238d2abda347f810d2179c5fdbead47c3ef48507ab20ca5","node":{"id":"T389","type":"ficha","title":"From Complicated to Complex: The AI Safety Paradox","url":"https://dakleyer.github.io/perspective-beyond/sources/from-complicated-to-complex-the-ai-safety-paradox-t389/","original":"https://tegrity.ai/from-complicated-to-complex-the-ai-safety-paradox/","aliases":[],"clusters":["tegrity"],"tags":["cambio-regimen","integridad-ia"],"summary":"","commit":null,"sourcePath":null,"commitUrl":null,"documentId":"doc-f69384f65eeae5f6e7","tagWeights":{"cambio-regimen":0.2941,"integridad-ia":0.7059},"reading":"This article constitutes the third installment in the series on AI Operational Integrity Management Architecture, building upon the theoretical frameworks introduced in AI Integrity Architecture: Toward Expert-System Envelopes Around Statistical AI and extended in Structural Limits of Current AI Integrity Under Regime Change . It investigates a critical structural failure mode: the condition under which rigid safety constraints — originally engineered to ensure stability — become drivers of emergent complexity during environmental transitions. We argue that under non-stationary regimes, the friction between an adaptive statistical core and a static deterministic envelope can induce a transition-like failure mechanism. The observed shift from a “complicated” controlled process toward more complex behaviour may be abrupt, gradual, hysteretic, or only appear abrupt at the available observation resolution. We conclude by proposing a shift toward Adaptive Integrity, where architectures must recognise the limits of their own operating assumptions as a primary design requirement.","readingSource":{"url":"https://tegrity.ai/from-complicated-to-complex-the-ai-safety-paradox/","section":"Opening paragraphs","observed":"2026-11-04","sourceSha256":"6f5c01d4491b27edeabcdaf7d81f1bc7e711e8dd0d48b5811ed26adfe60fb340"},"readingSummary":"This article constitutes the third installment in the series on AI Operational Integrity Management Architecture, building upon the theoretical frameworks introduced in AI Integrity Architecture: Toward Expert-System Envelopes Around Statistical AI and extended in Structural Limits of Current AI Integrity Under Regime Change .","contextTokens":261},"relations":[["apoyo:T389:C45","T389","C45","documenta el concepto","",null,"apoyo",""],["apoyo:T389:C81","T389","C81","documenta el concepto","",null,"apoyo",""],["documento:F019","T389","T2776","analogy only","Component-level compliance does not establish ecosystem-level integrity when independently governed actors compose their decisions under changing conditions.",null,"documento","Los seis escenarios EA son construidos y no prueban frecuencia de estos fallos en una población de despliegues."],["documento:R166","T389","T2776","editorial comparison","For a complementary reading, see [Six constructed system-level failure scenarios](https://tegrity.ai/when-the-controls-work-but-the-system-fails/).",null,"documento",""]]}