Governance · Concept
Aviation Certification Structural Requirements for AI Governance Documents
Analysis arguing that aviation's DO-178C/DO-330 structural requirements — governance linkage, context-bounded validity, and objective evidence architecture — should be transferred to AI governance documents.
Forecast horizon
Potential basis for a new generation of AI governance document standards requiring epoch limits and proof surfaces.
Connections
Connections · 5
How this node ties into the rest of the map, and the evidence behind each link.
to · informs 4/10
EU AI Act Aviation certification structural requirements analysis provides a template for strengthening AI governance document standards like those required under the EU AI Act.
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NIST AI Risk Management Framework (AI RMF) Aviation certification structural requirements analysis identifies gaps in existing AI governance frameworks including the NIST AI RMF.
+4 growth to · frames 2/10
AI Evaluability Gap Aviation certification analysis reveals a structural gap in AI governance documents analogous to the AI evaluability gap.
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EU AI Act Aviation's structural governance requirements are absent from current AI governance documents including the EU AI Act framework.
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NIST AI Risk Management Framework (AI RMF) No existing framework including NIST AI RMF requires aviation-style structural properties as intrinsic properties of individual AI governance documents.
+2 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
EU AI Act timeline Aug 2025
EU AI Act obligations for general-purpose AI models applied from 2 Aug 2025; high-risk obligations under Annex III apply from 2 Aug 2026.
EU AI Act — implementation tracker → First binding treaty May 2026
The Council of Europe Framework Convention on AI — the first legally binding international AI treaty — opened for signature in Sep 2024; the EU ratified it on 15 May 2026.
Council of Europe → UN scientific panel Aug 2025
On 26 Aug 2025 the UN General Assembly created an Independent International Scientific Panel on AI (40 experts) and a Global Dialogue on AI Governance.
United Nations →