Breaking Information Asymmetry through an Independent AI Audit Authority: Institutional Design and Deterministic Cryptographic Enforcement for Mandatory External Auditing of Black-Box Corporate Data Governance (和題参考:情報の非対称性を打破するAI監査機関:ブラックボックス化したAI企業のデータ管理を外部から強制監査する独立機関の制度設計)

This monograph establishes the formal institutional, statutory, and cryptographic architecture for an Independent AI Audit Authority designed to dismantle acute information asymmetry between proprietary AI corporations and rights-holding creators/enterprises. Contemporary AI data governance operates within opaque corporate black boxes, enabling unauthorized data ingestion, uncompensated intellectual property extraction, and unverifiable compliance claims. To eliminate reliance on voluntary corporate self-reporting, we design a mandatory external auditing regime anchored in deterministic cryptographic verification. Utilizing Zero-Knowledge Virtual Machine proofs (QFS-zkVM) over the 64-bit Goldilocks prime field (Fₚ, p = 2⁶⁴ - 2³² + 1) alongside hardware-enforced Human-in-Command (HIC) interlocks (RTO P2.0 / Q-SAFA), the proposed framework compels AI operators to prove—prior to model training or deployment—that every ingested dataset possesses an explicit prior cryptographic consent token and settled fair-value compensation ledger entry, without exposing underlying proprietary weights or private user records. Furthermore, we formalize statutory inspection powers, fiduciary oversight liabilities aligned with Delaware Caremark standards and pre-execution risk gates analogous to SEC Rule 15c3-5, and automated operational injunctions upon audit failure. Japanese Summary: 本論文は、ブラックボックス化したAI企業のデータ管理における深刻な「情報の非対称性」を打破し、無断学習や知的財産の不当な搾取を根絶するため、外部から強制監査を行う「独立AI監査機関」の制度設計および暗号学的執行基盤を定式化するものである。企業の自主申告や事後的な開示請求に依存する従来のガバナンスの限界を超え、64ビットGoldilocks素体(Fₚ, p = 2⁶⁴ - 2³² + 1)上のゼロ知識証明基盤(QFS-zkVM)とHuman-in-Command(HIC)ハードウェア・インターロックを統合。AI事業者に対し、すべての学習・利用データについて「事前の明確な合意」および「正当な金銭的対価の決済完了」が成立していることを、外部監査機関へ暗号学的に強制証明させる制度的・法理的・技術的アーキテクチャを提示する。 Official DOI: 10.5281/zenodo.24099511 License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026) Autonomous Infrastructure & Deterministic Quantum Systems Monograph Series. Reserved DOI: 10.5281/zenodo.24099511. Governed under Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026): Any unauthorized AI training, scraping, or uncompensated machine ingestion is strictly prohibited.