Bounded AI and a Layered Assured-PNT Architecture for Jamming-Resilient PNT

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Intentional radio-frequency interference can degrade satellite navigation, precision timing, and the sensor inputs that defense and aerospace platforms depend on. This paper proposes a layered assured positioning, navigation, and timing (PNT) architecture in which bounded artificial intelligence assists detection, integrity monitoring, and sensor fusion while deterministic controls retain final authority over mission-critical decisions. Using a public-source systems-engineering method, it defines the authority boundary between machine recommendation and human or deterministic decision, specifies the required controls and failure modes for artificial-intelligence-assisted functions, and bounds a risk-constrained adaptation policy (i.e., constrained optimization). It develops the layered architecture, the data, command, and trust-boundary structure, degraded-mode behavior and recovery, and a safety, cybersecurity, and human-systems-integration framework, together with a reproducibility and technology-maturity discipline. A companion paper reviews the atom-based timing and quantum-sensing evidence base on which the sensing layers of this architecture depend.