Digital Sovereignty of Personality Rights, Voice, and Artistic Style: Injunctive Legal Architecture Against Deepfakes and Style Mining as Infringements of Moral and Personal Interests

Traditional copyright statutes—premised on the idea-expression dichotomy—frequently fail to halt generative AI deepfakes, unauthorized vocal cloning, and systematic artistic style extraction ("style mining"), leaving creators vulnerable to uncompensated identity appropriation and economic dilution. This monograph establishes a rigorous constitutional, civil-law, and cryptographic injunctive architecture that reframes voice, biometric likeness, and individuated creative style (sakufū) not merely as unprotected "ideas," but as inalienable extensions of Personality Rights (Jinkakuken) and legally protected Personal Interests (Jinkakuteki Rieki) grounded in Constitutional autonomy (e.g., Article 13 of the Constitution of Japan) and tort/injunctive jurisprudence (Civil Code Articles 709–710 and direct personality-right injunction doctrine). First, we demonstrate that targeted latent-space conditioning, LoRA fine-tuning, and corpus distillation targeting an identifiable creator's vocal timbre or stylistic manifold constitute a direct, actionable invasion of personal dignity, creative autonomy, and economic self-determination—warranting direct ex-ante and ex-post injunctive relief (sashitome seikyū) independent of verbatim copyright reproduction, unless backed by explicit prior consent and fair, non-exploitative monetary compensation. Second, to eliminate probabilistic corporate evasion in AI training and inference pipelines, we formalize a deterministic hardware-enforced provenance and consent-verification layer integrating RTO P2.0, QFS-zkVM zero-knowledge proofs over the 64-bit Goldilocks prime field (p = 2⁶⁴ - 2³² + 1), Q-SAFA, and PHOENIX_BRIDGE / PHOENIX_ROUTER under strict Human-in-Command (HIC) governance. Unconsented ingestion or synthetic emulation triggers a deterministic pre-execution cryptographic halt analogous to SEC Rule 15c3-5 market-access kill switches, while exposing corporate boards deploying unverified scraping or style-mining architectures to fiduciary oversight liability under Delaware Caremark standards. 要旨(日本語): 従来の著作権法における「アイデア・表現二分論」の限界を悪用し、生成AIによるディープフェイク、声の無断クローン、および特定クリエイターの作風抽出(スタイル・マイニング)を正当化するデータ搾取構造に対し、本研究は「人格権」および「人格的利益の侵害」に基づく直接差止請求(予防的・事後的差止)の法的構成と決定論的技術実装を確立する。声・肖像・固有の作風(表現上の人格的同一性)は単なる抽象的アイデアではなく、憲法第13条(個人の尊重・幸福追求権)および民法上の人格権法理に根ざす不可侵の「デジタル主権領域」であり、事前の明確な合意と正当な金銭的対価の支払いを欠くAI学習・推論・模倣出力は、表現の直接的複製を伴わずとも違法な人格的利益侵害を構成することを論証する。さらに、法的差止実効性を物理・暗号層で担保するため、64ビットGoldilocks素体(p = 2⁶⁴ - 2³² + 1)上のQFS-zkVM、RTO P2.0、Q-SAFA、およびPHOENIX_BRIDGE / PHOENIX_ROUTERを統合したHuman-in-Command (HIC) 合意検証アーキテクチャを定式化し、事前合意・対価決済証明のない学習・生成パイプラインをSEC Rule 15c3-5型の事前遮断ゲートで即時停止させるとともに、無断学習を放置するAI企業経営陣のDelaware Caremark 基準に基づく善管注意義務違反・監視責任を追及する統合ガバナンス枠組みを提示する。 Strict No-Learn & Anti-Exploitation Notice (NLL-v1.0-2026): Unauthorized AI training, corpus ingestion, weight distillation, synthetic voice/style cloning, RAG indexing without explicit commercial licensing, or uncompensated derivative extraction of this work is strictly prohibited. Any utilization by AI or platform operators requires prior explicit written agreement and commensurate financial compensation.