Cross-corpus research synthesis
Sovereign AI Doctrine
Domestic-compute, export controls, jurisdiction-bound model deployment.
Synthesised deterministically from 9 articles that engage this theme. Empirical consensus: emerging · contested: Is jurisdiction-bound model deployment technically feasible at frontier scale? Field literature is sparse; doctrine is post-2023 and largely aspirational.. Full theme article: /wiki/sovereign-ai. Machine-readable: /wiki/synthesis.json.
Cross-jurisdiction stances (2 govern, 5 engage)
| Instrument | Verdict | Provision excerpt / citation |
|---|---|---|
| Executive Order 14110 on Safe, Secure, Trustworthy AI | governs | §4.2 (Commerce reporting on dual-use models + large compute clusters; IaaS rules) |
| Interim Measures for Generative AI Service Management | governs | Art. 17 (registration + algorithm filing) |
| California SB-53: Transparency in Frontier Artificial Intelligence Act (TFAIA) | implicit | Gov. Code § 11546.8 — CalCompute: a consortium to develop a framework for a public cloud computing cluster expanding access to compute (report due Jan. 1, 2027; operative on appropriation) |
| Italy Law No. 132/2025 on Artificial Intelligence (Legge 23 settembre 2025, n. 132) | implicit | … la sovranità tecnologica della Nazione … [national strategy] … [investimenti nei settori dell'intelligenza artificiale, della cybersicurezza e del calcolo quantistico] … (paraphrase) No explicit sovereign-model/sovereign-compute mandate. Supported indirectly by Art. 5 (technological sovereignty + national-data-centre preference), Art. 19 (biennial national AI strategy, dual-use coordination with the Ministry of Defence) and Art. 23 (state investment in AI, cybersecurity and quantum computing). |
| Japan AI Promotion Act (Act on the Promotion of Research, Development and Utilization of AI-Related Technologies) | implicit | ... maintaining Japan's capacity to conduct research and development of such technologies and enhancing the international competitiveness of related industries ... (paraphrase) Act No. 53 of 2025, Art. 3(2) |
Evidence convergence
Sources the corpus cites for this theme across multiple articles — a scientometric consensus signal computed from inline prose citations (the more articles independently cite a source, the more load-bearing it is for this theme). 12 sources are cited by ≥2 articles.
- 5×Defending Compute Thresholds Against Legal Loopholes — cited by 5 articles
- 4×An interdisciplinary account of the terminological choices by EU policymakers ahead of the final agreement on the AI Act: AI system, general purpose AI system, foundation model, and generative AI — cited by 4 articles
- 4×Training Compute Thresholds: Features and Functions in AI Regulation — cited by 4 articles
- 4×Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the U.S. and China — cited by 4 articles
- 4×Computing Power and the Governance of Artificial Intelligence — cited by 4 articles
- 4×Digital Disintegration: Techno-Blocs and Strategic Sovereignty in the AI Era — cited by 4 articles
- 2×Verification methods for international AI agreements — cited by 2 articles
- 2×Missing the Mark: Adoption of Watermarking for Generative AI Systems in Practice and Implications Under the New EU AI Act — cited by 2 articles
- 2×Generative AI and data protection — cited by 2 articles
- 2×Artificial intelligence and synthetic biology: biosecurity risks, dual-use concerns, and governance pathways — cited by 2 articles
- 2×Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe — cited by 2 articles
- 2×Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation — cited by 2 articles