Contemporary AI governance suffers from a fatal dual fallacy: in extreme physical infrastructure (autonomous defense, cislunar space, and high-frequency trading), proponents claim that sub-millisecond algorithmic execution velocity renders Human-in-Command (HIC) obsolete; concurrently, in the digital economy, regional creators and small-to-medium enterprises (SMEs) are left defenseless against unauthorized AI scraping while awaiting statutory copyright reform. This monograph formally proves that both crises stem from the same architectural flaw—reliance on asynchronous, ex-post auditing rather than deterministic, pre-execution interlocks. First, we establish the mathematical orthogonality between asynchronous Human-in-the-Loop (HITL) biological latency and deterministic Human-in-Command (HIC) physical-layer boundaries, demonstrating how sub-100ns hardware interlocks (PHOENIX_BRIDGE) prevent thermodynamic delirium and algorithmic runaway without sacrificing execution velocity. Second, we apply this identical deterministic enforcement architecture to intellectual property sovereignty via a local-first Pay-to-Decrypt protocol over the 64-bit Goldilocks prime field (F_p, p = 2^64 - 2^32 + 1) using QFS-zkVM. Under this protocol, cryptographic decryption and data access are mathematically contingent upon verifiable zero-knowledge proof of prior explicit consent and fair financial settlement, rendering unauthorized AI training and scraping physically impossible. Together, these dual tracks establish an uncompromising international standard for Sovereign AI, fiduciary oversight (Caremark / SEC Rule 15c3-5), and decentralized intellectual property defense.
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Yoko(洋子) Hasebe(長谷部) (2026) studied this question.
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