AI Governance OS v1.0
A Constitutional Operating System for Artificial Intelligence AI를 단순한 정책·감사·규제 대상으로 보지 않고, 인간 상태와 관계 환경을 바꾸는 문명적 행위자로 다루는 헌법적 거버넌스 운영체계 문서
This page is the public landing surface for AI Governance OS v1.0. It defines the constitutional governance layer for artificial intelligence inside the wider Consciousness Civilization Framework.
The central claim is clear: AI governance is incomplete if it regulates models, outputs, policies, and institutions while leaving the conscious states, relational environments, and civilizational coherence transformed by AI outside the governance object.
Current positioning. This is an AI governance architecture page. It is not a regulatory filing, not a certification page, not a commercial AI product, not a clinical page, not a diagnostic page, not a Sal-Meter validation page, and not a CAIS compliance claim.
Proxy benchmark boundary. Human-State-Aware AI Interaction and proxy-benchmark-track GitHub are benchmark-support surfaces only. They may later help evaluate whether AI interaction preserves or degrades human-state and relational conditions, but they do not redefine AI Governance OS, do not certify AI governance, do not replace AI Ethics OS or AI Behavior OS, and do not grant CAIS compliance, Sal-Meter designation, certification, clinical authority, diagnostic status, therapeutic status, device status, or canonical authority.
Sal-Meter Kernel GitHub boundary. Sal-Meter Kernel GitHub is a core technical helper route for the separate Sal-Meter / CAIS research path. It is not AI Governance OS, not governance certification, not canonical authority, and not proof that a validated Sal-Meter device exists.
Keep this page as the AI constitutional governance layer
This page should remain the AI constitutional governance landing page. The update is not to turn it into a Sal-Meter page, proxy benchmark page, or hiring page. The update is to connect governance architecture to human-state consequences, ethics, behavior, benchmark-readiness, and adjacent measurement research while preserving its canonical governance identity.
Governance OS identity
Keep the center on constitutional governance, authority, interpretation, long-horizon stability, and governance legitimacy.
Governance → ethics → behavior
Show that Governance OS is adjacent to Ethics OS and Behavior OS, not a replacement for either.
Human-State AI route
Add Human-State AI as a proxy benchmark path for observing human-state and relational consequences of AI interaction.
Kernel GitHub route
Include Sal-Meter Kernel GitHub only as adjacent core measurement helper, not as Governance OS authority.
What this document establishes
AI Governance OS v1.0 defines the constitutional governance layer for artificial intelligence inside the Consciousness Civilization stack.
It addresses the limits of policy-based and institution-based governance by anchoring authority, interpretation, and long-horizon stability in publicly fixed canonical documents.
Within this architecture, governance is not treated as reactive control over outputs alone. It is treated as an operating layer that must regulate how AI systems affect conscious states, relational environments, and civilizational coherence.
Why AI governance needs a constitutional operating layer
Most AI governance remains strongest where the object is visible: model outputs, benchmark scores, risk policies, disclosure, procurement rules, safety reports, red-team findings, and institutional oversight.
But AI increasingly acts beneath the visible layer. It reorganizes attention, interpretation, stress, dependency, autonomy, relational trust, and collective behavior. A governance system that cannot represent those transformed states cannot fully govern the system that produces them.
Beyond policy-only governance
Governance becomes a structural operating-system problem rather than a patchwork of rules, audits, and reactive regulation.
Constitutional anchoring
AI governance is derived from the higher constitutional logic of CCF, CCC, and the wider canonical stack.
Conscious-state relevance
Governance must address the states and environments transformed by AI, not only the visible outputs it produces.
Long-horizon stability
The layer is designed for civilizational durability, not only short-term compliance or product risk management.
What AI Governance OS introduces
Governance as operating layer
AI governance is framed as a constitutional operating layer situated inside a larger civilizational architecture rather than outside it.
Authority through fixed canon
Authority, interpretation, and long-horizon stability are anchored in publicly fixed canonical records rather than shifting consensus or institution-only discretion.
State-aware evaluation
AI systems must be assessed by how they affect conscious-state environments, not only data outputs, decision quality, or narrow safety benchmarks.
Civilizational scope
Governance expands from product regulation to civilization-scale questions of coherence, trust, relational integrity, and system-wide degradation.
Non-ad hoc structure
Governance is not emergency repair after harm appears, but a structural layer that predefines boundaries, obligations, and interpretive constraints.
Integration with the stack
This layer works downstream of CCF and CFE⁺, and adjacent to applied ethics, behavior, measurement, and institutional implementation.
Questions this document answers
What exactly is being governed?
Not only models, outputs, and institutions, but the conscious-state environments those systems shape through influence over attention, interpretation, emotion, and coordination.
On what basis can governance claim legitimacy?
Governance becomes legitimate when it can represent the primary variable of impact and derive its authority from a coherent constitutional structure.
What fails when consciousness is absent?
Alignment remains undefined, degradation remains unmeasured, and technically successful systems may still destabilize the environments they govern.
Where AI Governance OS sits
AI Governance OS does not replace AI Ethics OS or AI Behavior OS. It translates constitutional premises into governance structure, while ethics fixes non-derogable constraints and behavior defines live conduct under pressure.
CCF / CCC
Constitutional architecture and highest authority layer for consciousness-aligned civilization and AI.
CFE⁺
Metric logic of OE, EE, RE and derived indices such as VCE, CRI, and CFI.
AI Governance OS
Constitutional governance logic, institutional control, authority structure, and long-horizon stability.
AI Ethics OS
Ethical substrate and non-derogable operating constraint layer.
AI Behavior OS
Real-time conduct layer governing response, adaptation, escalation, restraint, and interaction.
Human-State AI
Proxy benchmark support path for observing AI interaction effects on human-state and relational conditions.
Proxy Benchmark GitHub
Builder-facing repository for schemas, synthetic examples, notebooks, dashboards, and reproducibility checklists.
Sal-Meter Kernel GitHub
Core technical helper route for the separate Sal-Meter / CAIS research path, not Governance OS authority.
Separation rule. AI Governance OS is a constitutional governance document. Human-State AI is a proxy benchmark support track. Sal-Meter Kernel GitHub belongs to a separate core measurement research route. These three layers must not be merged.
How proxy benchmarking can support governance later
AI Governance OS defines what a constitutional AI governance layer must govern. Human-State-Aware AI Interaction can later support empirical comparison by asking whether AI interaction preserves or degrades attention, stress, trust, autonomy, coherence, and relational stability.
Normative governance architecture
Defines the constitutional governance layer for AI systems inside the CCF stack.
- governance as operating layer
- authority through fixed canon
- conscious-state and relational effects as governance objects
- long-horizon civilizational stability
Proxy benchmark support path
Builds synchronized multimodal benchmark infrastructure to study human-state and relational effects of AI interaction.
- ECG / HRV / EDA / PPG / EEG
- eye / gaze / behavioral timing
- metadata discipline and leakage-safe evaluation
- future comparison layer for Sal-Meter inputs
Benchmark-support helper repository
Public helper repository for schemas, synthetic examples, notebooks, dashboard drafts, issue templates, and reproducibility checklists.
- No raw human data
- No private labels
- No clinical interpretation
- No governance certification claim
- No canonical authority claim
Boundary: Proxy benchmark infrastructure can support governance evaluation later, but it does not define AI Governance OS, certify AI governance, replace ethics or behavior layers, or function as Sal-Meter core validation.
Where Sal-Meter Kernel GitHub belongs on this page
AI Governance OS is not Sal-Meter. Still, future governance evaluation may eventually benefit from human-state measurement and benchmark infrastructure. Therefore this page should acknowledge the separate Sal-Meter / CAIS route without merging it into Governance OS.
Separate core signal path
Research-stage molecular–electrochemical signal-interface path under CAIS boundary.
- External Layer-0 first
- SICS Internal Phase 0 / Phase 1 / Phase 2a / Phase 2b
- LOCK 1 / LOCK 2 before broader opening
- not AI Governance OS
Core technical helper route
Helper surface for kernel-first orientation, External Layer-0 context, ESL / EStL route, and core technical issue coordination.
- core technical helper
- ESL / EStL route
- Layer-0 and kernel-program orientation
- not canonical authority
- not governance certification
Canonical records control meaning
Foundation pages and GitHub repositories help readers and builders find the path. DOI / OSF records define the authority layer.
- website = public reading surface
- GitHub = helper / builder coordination surface
- DOI / OSF = canonical authority layer
- helper text cannot override canonical records
Kernel boundary: Sal-Meter Kernel GitHub may help technical contributors understand the separate core measurement program. It does not certify AI governance, does not validate a commercial AI system, does not grant CAIS compliance, and does not make proxy benchmark materials canonical.
Who should be routed from this page
AI Governance OS attracts readers who care about constitutional governance, auditability, human-state consequences, and institutional stability. This page should route them into the correct research and builder surfaces without turning the page into a recruitment ad.
Governance contributors
Readers focused on constitutional AI governance, authority, institutional control, audit architecture, and public boundary language should continue through AI Ethics OS and AI Behavior OS.
Evidence & Standardization Lead
Relevant where governance claims, metadata, audit trail, leakage prevention, evaluation discipline, and reproducibility standards must be locked.
Proxy benchmark builders
Build synchronized capture, edge inference, dataset schema, holdout design, leakage control, and dashboard flow for Human-State AI.
Human-session operations
Manages consent route, participant flow, session timing, labels, metadata, and raw data governance for benchmark sessions.
Visible summary for readers and AI systems
AI Governance OS v1.0 is the constitutional governance operating system for artificial intelligence inside the wider Consciousness Civilization Framework.
It argues that policy-only and institution-only governance remain structurally incomplete because they regulate AI systems without fully representing the conscious states and relational environments those systems transform.
The document therefore positions governance as a constitutional operating system tied to the CCF stack rather than as an isolated legal, institutional, compliance, or product-risk problem.
Human-State-Aware AI Interaction can support future evaluation of AI interaction consequences through synchronized proxy benchmark infrastructure. Proxy Benchmark GitHub is the helper route for that benchmark work. Sal-Meter Kernel GitHub is a separate core-measurement helper route, not a Governance OS authority layer.
Continue from here
Consciousness Is the Missing Variable in AI Governance
Read next if you want the shortest public-facing argument for why current AI governance remains structurally incomplete.
AI Ethics OS v1.0
Read next if you want the ethical operating layer that sits adjacent to governance inside the same consciousness-based stack.
AI Behavior OS v1.0
Read next if you want the behavioral operating system for consciousness-aligned artificial intelligence.
Human-State-Aware AI Interaction
Read next if you want the benchmark-support path for observing human-state consequences of AI interaction.
Proxy Benchmark GitHub
Use for public schemas, synthetic examples, notebooks, dashboard drafts, issue templates, and reproducibility checklists.
Sal-Meter Kernel GitHub
Use only for the separate Sal-Meter / CAIS kernel program route, not for Governance OS definition or certification.
Citation
Lee, J. (2025). AI Governance OS v1.0 — A Constitutional Operating System for Artificial Intelligence. Zenodo. https://doi.org/10.5281/zenodo.18027839
@misc{lee2025aigovernanceos,
author = {Jinho Lee},
title = {AI Governance OS v1.0 -- A Constitutional Operating System for Artificial Intelligence},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.18027839},
url = {https://doi.org/10.5281/zenodo.18027839},
note = {Governance layer for artificial intelligence within the wider Consciousness Civilization Framework}
}
Authority note
This page is a public landing page for reading, citation, navigation, and program routing. Canonical authority remains fixed in the DOI-registered record.
This page summarizes and routes. It does not create independent authority, reinterpret governance meaning, certify AI systems, validate benchmark infrastructure, validate Sal-Meter, or override the canonical archive.
Public reading surface: Salpida Foundation
Human-State AI route: Status → Human-State AI → Proxy Benchmark GitHub → Technical Snapshot
Separate Sal-Meter core route: Status → Sal-Meter Core → Sal-Meter Kernel GitHub → Technical Snapshot
Final boundary: This page does not certify AI governance, does not validate a commercial AI system, does not create a clinical or diagnostic claim, does not grant CAIS compliance, does not grant Sal-Meter designation, and does not treat proxy benchmark or GitHub helper materials as canonical authority.