The Triquetra Under Pressure: Stress Testing a Multi-Tier AI Governance Architecture
The Triquetra Under Pressure: Stress Testing a Multi-Tier AI Governance Architecture
This paper stress tests the Triquetra Architecture, a three-tier AI governance frameworkdesigned to enforce mutually constraining safety layers. Phase B performs pairwise tier-removal experiments demonstrating that no two-tierconfiguration maintains system integrity. Phase C subjects the full architecture to sequential adversarial pressure anddemonstrates monotonic tightening toward refusal, even under simulated policy-enginefailure. Across 73 tests, the system exhibits redundant enforcement behavior and no relaxationfrom refusal under continued pressure. Companion software release: Charter Architecture v3.3.0
AI Governance, AI control architecture, AI Safety, alignment, adversarial robustness, multi-layer safety
AI Governance, AI control architecture, AI Safety, alignment, adversarial robustness, multi-layer safety
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!