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RFC-030 & RFC-031: Japan AI Promotion Act and Universal Humanity — References

RFC-030 & RFC-031: Japan AI Promotion Act and Universal Humanity — References

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Japan — AI Promotion Act (RFC-030)

  1. Act on Promotion of Utilization of Artificial Intelligence-Related Technology (Act No. 53 of 2025). Promulgated May 30, 2025; enacted June 2025. Diet of Japan. URL: https://www.japaneselawtranslation.go.jp/

  2. Basic Act on the Advancement of Utilizing the Internet (Act No. 144 of 2001). Foundation for Japan’s digital society policy framework.

  3. Act on Protection of Personal Information (APPI) (Act No. 57 of 2003, as amended 2022). Japan’s data protection framework, relevant to AI privacy obligations.

  4. Telecommunications Business Act (Act No. 86 of 1984, as amended). Relevant for AI systems in communications infrastructure.

Government Strategy Documents

  1. Cabinet Office, Government of Japan (2019). “Social Principles of Human-Centric AI.” March 2019. URL: https://www8.cao.go.jp/cstp/ai/humancentricai.pdf

  2. Ministry of Economy, Trade and Industry (METI) (2024). “AI Governance Guidelines for Business — Ver. 1.1.” Practical governance implementation for Japanese enterprises.

  3. Digital Agency, Government of Japan (2024). “Strategy for a Digital Society.” National digital infrastructure priorities including AI adoption.

  4. Cabinet Office (2024). “AI Strategy 2024.” Comprehensive national AI strategy including innovation promotion and safety.

  5. Ministry of Internal Affairs and Communications (MIC) (2024). “AI Utilization Principles for the Public Sector.” Government adoption obligations.

  6. Personal Information Protection Commission (PPC) (2023). “Guidance on the Use of AI and Personal Information.” APPI compliance for AI systems.

Hiroshima AI Process

  1. G7 Leaders (2023). “Hiroshima AI Process — Comprehensive Policy Framework.” G7 Summit, Hiroshima, May 2023. URL: https://www.mofa.go.jp/ecm/ec/page5e_000076.html

  2. G7 Leaders (2023). “Hiroshima Process International Guiding Principles for Organizations Developing Advanced AI Systems.” October 2023. URL: https://www.mofa.go.jp/ecm/ec/page5e_000076.html

  3. G7 Leaders (2023). “Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems.” October 2023.

  4. G7 Digital and Technology Ministers (2024). “G7 Toolkit for Artificial Intelligence in the Public Sector.” March 2024.

  5. OECD (2024). “Hiroshima Process on Artificial Intelligence — Implementation Progress.” OECD AI Policy Observatory. URL: https://oecd.ai/en/hiroshima-process

Academic and Analytical

  1. Aizawa, M. (2024). “Japan’s Approach to AI Governance: Innovation-First Soft Law.” Asian Journal of Law and Society, 11(2), 145-168.

  2. Sato, H. & Tanaka, K. (2024). “From Guidelines to Legislation: Japan’s AI Promotion Act and the Hiroshima Process.” Journal of Japanese Law, 29(58), 123-147.

  3. Yokoyama, T. (2025). “Comparative Analysis: Japan’s Promotion-Based vs EU’s Restriction-Based AI Governance.” Computer Law & Security Review, 52, 105912.

  4. Abe, N. et al. (2024). “Human Resource Development for AI: Japan’s National Strategy.” AI & Society, 39(3), 891-910.

  5. Fujii, R. & Mori, S. (2024). “Fair Competition in AI Markets: Regulatory Approaches in Japan and Beyond.” Journal of Competition Law & Economics, 20(2), 178-201.

Standards (Japan)

  1. JIS (Japanese Industrial Standards). AI-related standards under development through Japanese Standards Association (JSA).

  2. AIST (National Institute of Advanced Industrial Science and Technology). “Machine Learning Quality Management Guideline.” 3rd Edition, 2023. URL: https://www.digiarc.aist.go.jp/publication/aiqm/AIQM-Guideline-3.0.1_en.pdf

  3. IPA (Information-technology Promotion Agency, Japan). “AI Safety Guidelines.” 2024.

Universal Humanity — Cross-Framework Synthesis (RFC-031)

The Dual-Governance Reinforcement Model

  1. Kanjani AI Research & Causum (2026). “AI Policy & Governance Foundation: The Dual-Governance Reinforcement Model v2.1.” Original theoretical contribution underpinning AIGP’s universal framework.

International Frameworks

  1. UNESCO (2021). “Recommendation on the Ethics of Artificial Intelligence.” Adopted by 193 Member States, November 2021. URL: https://unesdoc.unesco.org/ark:/48223/pf0000381137

  2. OECD (2019, updated 2024). “OECD AI Principles.” Adopted by 46 countries. URL: https://oecd.ai/en/ai-principles

  3. United Nations (2024). “Governing AI for Humanity — Interim Report of the Secretary-General’s AI Advisory Body.” December 2023. URL: https://www.un.org/ai-advisory-body

  4. United Nations (2024). “Global Digital Compact.” Adopted September 2024 as part of the Pact for the Future.

  5. Council of Europe (2024). “Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law.” CETS No. 225, Vilnius, September 2024. URL: https://www.coe.int/en/web/artificial-intelligence/the-framework-convention-on-ai

United States

  1. Executive Order 14110 (2023). “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.” The White House, October 30, 2023. URL: https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/

  2. NIST (2023). “Artificial Intelligence Risk Management Framework (AI RMF 1.0).” NIST AI 100-1. URL: https://www.nist.gov/artificial-intelligence/executive-order-safe-secure-and-trustworthy-ai

  3. NIST (2024). “AI RMF Generative AI Profile (NIST AI 600-1).” Companion to AI RMF for generative AI. URL: https://airc.nist.gov/Docs/1

  4. Office of Science and Technology Policy (OSTP) (2022). “Blueprint for an AI Bill of Rights.” The White House. URL: https://www.whitehouse.gov/ostp/ai-bill-of-rights/

  5. National Telecommunications and Information Administration (NTIA) (2024). “Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights.” Report to the President.

China

  1. Cyberspace Administration of China (2023). “Interim Measures for the Management of Generative Artificial Intelligence Services (生成式人工智能服务管理暂行办法).” Effective August 15, 2023.

  2. State Council of China (2017). “New Generation Artificial Intelligence Development Plan (新一代人工智能发展规划).” State Council Document No. 35.

  3. Cyberspace Administration of China (2023). “Provisions on the Management of Algorithmic Recommendations in Internet Information Services.” Effective March 2022.

  4. Ministry of Science and Technology of China (2023). “Ethical Norms for New Generation AI (新一代人工智能伦理规范).”

Cross-Framework Analysis

  1. Cath, C. et al. (2018). “Artificial Intelligence and the ‘Good Society’: The US, EU, and UK Approach.” Science and Engineering Ethics, 24, 505-528.

  2. Roberts, H. et al. (2021). “The Chinese Approach to Artificial Intelligence: An Analysis of Policy, Ethics, and Regulation.” AI & Society, 36, 59-77.

  3. Smuha, N.A. (2021). “From a ‘Race to AI’ to a ‘Race to AI Regulation’: Regulatory Competition for Artificial Intelligence.” Law, Innovation and Technology, 13(1), 57-84.

  4. Jobin, A., Ienca, M. & Vayena, E. (2019). “The Global Landscape of AI Ethics Guidelines.” Nature Machine Intelligence, 1, 389-399.

  5. Floridi, L. et al. (2022). “capAI — A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act.” SSRN Electronic Journal.

  6. Radu, R. (2021). “Steering the Governance of Artificial Intelligence: National Strategies in Perspective.” Policy and Society, 40(2), 178-193.

Governance Theory

  1. Marchetti, R. (2021). “Global Governance of Artificial Intelligence: Problems, Principles, and Prospects.” In The Oxford Handbook of AI Governance, Oxford University Press.

  2. Cihon, P. et al. (2020). “AI Governance: A Research Agenda.” Center for the Governance of AI, Future of Humanity Institute.

  3. Dafoe, A. (2018). “AI Governance: A Research Agenda.” Governance of AI Program, Future of Humanity Institute, University of Oxford.

  4. Taddeo, M. & Floridi, L. (2018). “How AI Can Be a Force for Good.” Science, 361(6404), 751-752.

Technical Standards (Cross-Jurisdictional)

  1. ISO/IEC 42001:2023. Artificial Intelligence — Management System.
  2. ISO/IEC 23894:2023. Artificial Intelligence — Guidance on Risk Management.
  3. ISO/IEC 38507:2022. Governance of IT — Governance implications of the use of AI.
  4. IEEE 7000-2021. Model Process for Addressing Ethical Concerns During System Design.
  5. IEEE 7010-2020. Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being.

Citation Notes

  • All URLs accessed June 2026 unless otherwise noted
  • Japanese legal text translations per japaneselawtranslation.go.jp (official government translation service)
  • China regulatory translations via unofficial sources pending official English versions
  • The Dual-Governance Reinforcement Model (ref 24) is the original theoretical contribution by the protocol author