The AIGN Declaration on Systemic AI Governance: Defining the Operating Principles for the Age of Intelligent Systems
Authors/Creators
Description
Artificial Intelligence (AI) has evolved from a discrete technology into a systemic infrastructure shaping knowledge, power, and institutional accountability. Yet the global governance landscape remains fragmented between ethics, law, and technical standards.
The AIGN Declaration on Systemic AI Governance defines the operating principles for the age of intelligent systems. It establishes seven systemic pillars — Systemic Governance, Responsibility by Design, Continuous Assurance, Transparency of Intent, Global Interoperability, Education and Culture, and Trust Infrastructure — forming a coherent architecture that connects ethical purpose, legal obligation, and technical assurance.
Building upon the OECD AI Principles (2019), UNESCO Recommendation on the Ethics of AI (2021), ISO/IEC 42001 (2023) and the EU AI Act (2024), the Declaration proposes a meta-framework for global interoperability of trust. It complements existing governance regimes by transforming compliance into capability and regulation into architecture.
Citation: Upmann, P. (2025). The AIGN Declaration on Systemic AI Governance: Defining the Operating Principles for the Age of Intelligent Systems. Zenodo. https://doi.org/10.5281/zenodo.[your-doi]
© 2025 Patrick Upmann / AIGN — All terminology, frameworks, and governance logics are the intellectual property of Patrick Upmann and AIGN. Non-commercial citation permitted with attribution. Commercial use requires prior written permission.
Files
The AIGN Declaration on Systemic AI Governance- Defining the Operating Principles for the Age of Intelligent Systems.pdf
Files
(540.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:42abb3d2bc66e015d6cf7e576652c312
|
540.1 kB | Preview Download |
Additional details
Identifiers
Dates
- Created
-
2025-10-30Official publication date of the first edition of The AIGN Declaration on Systemic AI Governance, establishing the foundational operating principles of Systemic AI Governance within the AIGN OS Research Series.
References
- European Union (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council laying down harmonised rules on Artificial Intelligence (AI Act). Official Journal of the European Union.
- International Organization for Standardization (ISO) & International Electrotechnical Commission (IEC). (2023). ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS). Geneva: ISO.
- National Institute of Standards and Technology (NIST). (2023). AI Risk Management Framework 1.0. U.S. Department of Commerce.
- Organisation for Economic Co-operation and Development (OECD). (2019). OECD Principles on Artificial Intelligence. Paris: OECD Publishing. https://doi.org/10.1787/ai-principles-en
- UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137
- United States Government. (2023). Executive Order 14110 – Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Federal Register, 88 (210)
- Beer, S. (1972). Brain of the Firm. London: Allen Lane.
- Cihon, P., Maas, M., Ding, J., & Whittlestone, J. (2022). Standardisation and governance of artificial intelligence: A global perspective. Nature Machine Intelligence, 4(9), 761–770.
- Dignum, V. (2019). Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer Nature.
- Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford University Press.
- Robin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
- Luhmann, N. (1997). Die Gesellschaft der Gesellschaft. Frankfurt am Main: Suhrkamp.
- Ostrom, E. (2010). Polycentric systems for coping with collective action and global environmental change. Global Environmental Change, 20(4), 550–557.
- Wachter, S., Mittelstadt, B., & Russell, C. (2021). Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI. Computer Law & Security Review, 41, 105567.
- World Economic Forum (WEF). (2022). Global Framework for Responsible Artificial Intelligence Governance. Geneva: WEF White Paper Series.
- Upmann, P. (2025). AIGN OS – The Operating System for Responsible AI Governance. SSRN Working Paper No. 5374312. https://ssrn.com/abstract=5374312
- Upmann, P. (2025). AIGN OS – AI Agents: The AI Governance Stack as a New Regulatory Infrastructure. SSRN Policy Paper No. 5543162. https://ssrn.com/abstract=5543162
- Upmann, P. (2025). AIGN OS – Trust Infrastructure: Certification, Licensing and Market Enforcement for Responsible AI. SSRN Policy Paper No. 5561078. https://ssrn.com/abstract=5561078
- Upmann, P. (2025). AIGN Systemic AI Governance Stress Test. SSRN Technical Paper No. 5489746. https://ssrn.com/abstract=5489746
- Upmann, P. (2025). The ASGR Index – Establishing the Global Benchmark for Systemic AI Governance Readiness. SSRN Working Paper No. 4941120. https://ssrn.com/abstract=4941120
- Upmann, P. (2025). AIGN – AI Governance Compliance Framework for SAP S/4HANA. SSRN Policy Paper No. 4981048. https://ssrn.com/abstract=4981048