A recurring taxonomic fallacy in contemporary artificial intelligence and quantum governance discourse asserts that rapid escalations in algorithmic execution velocity and structural complexity render "Human-in-Command" (HIC) architectures obsolete, ostensibly because human operators cannot match machine processing speeds. This monograph formally refutes that premise by proving that such critiques conflate asynchronous, biologically bottlenecked Human-in-the-Loop (HITL) monitoring with deterministic, hardware-enforced Human-in-Command (HIC) governance as formalized under The Hasebe Doctrine. While HITL relies on human neuro-cognitive reaction latencies (τHITL ≥ 250 ms) that inevitably fail against sub-millisecond autonomous and quantum state transitions, HIC strictly decouples sovereign human intent specification from real-time execution verification. Under HIC, human constitutional and operational invariants are compiled ex ante into cryptographic constraints over the 64-bit Goldilocks prime field Fₚ (p = 2⁶⁴ - 2³² + 1) within the Quantum-Financial-System Zero-Knowledge Virtual Machine (QFS-zkVM) and enforced at the physical layer via Q-SAFA, PHOENIX_BRIDGE, and PHOENIX_ROUTER within the RTO P2.0 sub-0.5-millisecond boundary (τRTO ≤ 0.5 ms). We further prove via succinct verification complexity bounds and thermodynamic galvanic isolation that arbitrary internal model complexity or recursive weight self-modification cannot degrade gate verification latency or soundness. Finally, we demonstrate under SEC Rule 15c3-5 (17 CFR § 240.15c3-5) and Delaware Caremark fiduciary standards that invoking "algorithmic velocity or complexity" to excuse the absence of deterministic HIC hardware interlocks constitutes an actionable breach of fiduciary oversight (scienter) rather than a valid engineering defense.
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Yoko(洋子) Hasebe(長谷部) (2026) studied this question.
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