The AIGN Academy – Institutionalizing Systemic AI Governance Education
Authors/Creators
Description
Artificial Intelligence governance has entered its institutional phase.
While frameworks such as the EU AI Act (2024), ISO/IEC 42001 (2023), and the NIST AI Risk Management Framework (2023) define compliance and management obligations, no coherent educational infrastructure yet translates them into structured, certifiable competence.
The AIGN Academy closes this gap by institutionalizing Systemic AI Governance Education — transforming the AIGN OS architecture into a living global learning and certification ecosystem.
It integrates the architectural, diagnostic, and assurance layers of the AIGN OS into an educational operating system where learning itself becomes evidence of governance.
By combining design-science methodology, stress testing, and trust-label certification, the Academy introduces the Education Layer of the AIGN OS.
It positions education not as an accessory to governance, but as governance infrastructure — turning competence into accountability and knowledge into assurance.
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The AIGN Academy – Institutionalizing Systemic AI Governance Education.pdf
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Additional details
Additional titles
- Subtitle (English)
- Building the Education Layer of the AIGN OS Architecture
Dates
- Created
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2025-10-29Date of publication of the working paper within the AIGN Research Series on Systemic AI Governance.
References
- Upmann, P. (2025). AIGN OS – The Operating System for Responsible AI Governance. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5374312
- Upmann, P. (2025). AIGN Systemic AI Governance Stress Test. Zenodo. https://doi.org/10.2139/ssrn.5489746
- Upmann, P. (2025). AIGN OS – Trust Infrastructure: Certification, Licensing, and Market Enforcement for Responsible AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5561078
- Upmann, P. (2025). AIGN OS – AI Agents: The AI Governance Stack as a New Regulatory Infrastructure. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5543162
- ISO/IEC. (2023). ISO/IEC 42001: Artificial Intelligence Management System Standard (AIMS). Geneva: International Organization for Standardization.
- European Union. (2024). Regulation (EU) 2024/1689 — Artificial Intelligence Act. Official Journal of the European Union.
- UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO.
- OECD. (2019). OECD Principles on Artificial Intelligence. Paris: OECD Publishing. https://doi.org/10.1787/ai-principles-en
- 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 Pres