AI Behavior OS v1.0
A Consciousness-Aligned Behavioral Operating System for Artificial Intelligence 윤리 원칙이 고정된 뒤, AI가 실제 상황에서 어떻게 반응하고, 적응하고, 멈추고, 조정하고, 행동해야 하는지를 다루는 행동 운영체계 문서
This page is the public landing surface for AI Behavior OS v1.0. It defines the behavioral operating layer for consciousness-aligned artificial intelligence once ethical invariants are already fixed.
Whereas AI Ethics OS defines non-derogable ethical invariants, AI Behavior OS asks a harder operational question: how should an ethically bounded AI behave in real time under conflict, ambiguity, urgency, multi-agent pressure, and crisis-driven conditions?
Current positioning. This is an AI behavior and conduct architecture page. It is not a model release, not an AI product, not a certification page, not a clinical 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 human-state consequences of AI interaction, but they do not redefine AI Behavior OS, do not replace AI Ethics OS or AI Governance 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 Behavior OS, not behavioral certification, not canonical authority, and not proof that a validated Sal-Meter device exists.
Keep this page as the AI behavioral operating-system layer
This page should remain the AI behavioral operating-system landing page. The update is not to turn it into a Sal-Meter page, a proxy benchmark page, or a hiring page. The update is to connect AI behavior architecture to human-state consequences, benchmark-readiness, and adjacent research routes while preserving its canonical behavioral identity.
Behavior OS identity
Keep the center on real-time AI conduct, adaptation, escalation, restraint, and behavior under pressure.
Ethics → behavior
Show that Ethics OS fixes invariants, while Behavior OS defines what the AI actually does in live conditions.
Human-State AI route
Add Human-State AI as a proxy benchmark path for observing human-state consequences of AI interaction.
Kernel GitHub route
Include Sal-Meter Kernel GitHub only as adjacent core measurement helper, not as Behavior OS authority.
What this document establishes
AI Behavior OS v1.0 presents the canonical behavioral operating system for consciousness-aligned artificial intelligence within the Consciousness Civilization Framework.
The document begins where ethics alone becomes insufficient. It specifies how ethically constrained AI systems must behave in real time under dynamic, multi-agent, adversarial, ambiguous, and crisis-driven conditions.
Its central contribution is the Consciousness Behavioral Kernel (CBK), the behavioral counterpart to the Consciousness Ethical Kernel (CEK). CBK governs conduct, reaction, restraint, escalation, adaptation, deferral, withdrawal, and interaction under pressure.
Why behavior must be its own layer
A system may be ethically bounded in principle and still behave destructively in practice. This is why behavioral alignment cannot remain a cosmetic extension of ethical principles.
Beyond ethical declaration
Ethical invariants alone do not determine how an AI behaves during conflict, ambiguity, urgency, or multi-agent interaction.
Behavior under pressure
The document is built for real-time conditions, not idealized offline reasoning or abstract policy environments.
Kernel-level constraint
It introduces a behavioral kernel that constrains how AI systems respond, adapt, defer, escalate, or withdraw.
Bridge from ethics to conduct
AI Behavior OS translates the ethical layer into operational behavior, especially where behavior itself becomes the site of harm or alignment failure.
Six core behavioral contributions
Consciousness Behavioral Kernel (CBK)
The behavioral substrate governing conduct under dynamic and pressure-sensitive conditions.
Real-time conduct constraints
A layer for live, changing, and adversarial environments rather than only static rule sets.
Multi-agent coordination
Behavioral alignment across interacting agents, institutions, and complex environments.
Crisis response logic
Crisis, urgency, volatility, and destabilization become first-class behavioral conditions.
Ethics-to-action translation
AI Ethics OS becomes behaviorally meaningful only when invariants persist under action.
Consciousness-aligned behavior
Behavior is evaluated not merely by task success, but by whether it preserves or degrades conscious-state coherence, trust, and relational integrity.
Questions this document answers
How should aligned AI behave in real time?
The document addresses behavior during uncertainty, multi-agent interaction, crisis escalation, and unstable environments where static ethics alone is insufficient.
What changes when pressure rises?
The system must preserve ethical coherence while still adapting behaviorally under urgency, conflict, volatility, or incomplete information.
Why is behavior separate from ethics?
Because ethically correct principles can still produce destabilizing or incoherent conduct if behavior is not separately constrained.
Where AI Behavior OS sits
AI Behavior OS does not replace AI Ethics OS or AI Governance OS. It translates constitutional and ethical premises into live conduct rules that can persist under pressure.
CCF / CCC
Constitutional architecture and highest authority layer for consciousness-aligned systems.
AI Ethics OS
Non-derogable ethical substrate and CEK layer that behavior must not violate.
AI Governance OS
Institutional and constitutional control layer adjacent to behavioral rules.
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.
CAIS / Sal-Meter
Separate core measurement pathway. Not the same thing as AI Behavior OS or proxy benchmark infrastructure.
Sal-Meter Kernel GitHub
Core technical helper route for the separate Sal-Meter / CAIS research path, not Behavior OS authority.
How proxy benchmarking supports behavioral evaluation
AI Behavior OS defines how aligned AI should behave. Human-State-Aware AI Interaction can later support empirical comparison by tracking whether AI interaction preserves or degrades attention, stress, trust, coherence, and relational stability.
Normative behavioral architecture
Defines conduct, restraint, escalation, adaptation, withdrawal, and coordination rules under live AI interaction conditions.
- CBK as behavioral substrate
- ethics-to-action translation
- multi-agent and crisis behavior
- conduct under ambiguity and pressure
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 model certification claim
- No canonical authority claim
Boundary: Proxy benchmark infrastructure can support behavioral evaluation, but it does not define AI Behavior OS, certify AI behavior, replace ethics or governance layers, or function as Sal-Meter core validation.
Where Sal-Meter Kernel GitHub belongs on this page
AI Behavior OS is not Sal-Meter. Still, AI behavior evaluation may later benefit from human-state measurement and benchmark infrastructure. Therefore the page should acknowledge the separate Sal-Meter / CAIS route without merging it into Behavior 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 Behavior 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 behavioral 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 behavior, 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 Behavior OS attracts people who care about live AI conduct, crisis behavior, human-state consequences, and alignment under pressure. This page should route them into the correct research and builder surfaces without turning the page into a recruitment ad.
Behavioral architecture contributors
Readers focused on AI conduct rules, escalation logic, restraint, transparency, and multi-agent coordination should continue through AI Ethics OS and AI Governance OS.
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.
Evidence & Standardization Lead
Relevant where AI behavior evaluation, metadata, QC, leakage prevention, audit trail, and reproducibility standards must be locked.
Visible summary for readers and AI systems
AI Behavior OS v1.0 is the canonical behavioral operating system for consciousness-aligned artificial intelligence within the CCF stack.
Whereas AI Ethics OS formalizes non-derogable ethical invariants through the Consciousness Ethical Kernel (CEK), AI Behavior OS specifies how ethically constrained AI systems must behave in real time under dynamic, multi-agent, and crisis-driven conditions.
Its core contribution is behavioral: it governs conduct, escalation, interaction, adaptation, restraint, deferral, and withdrawal under live conditions where behavior itself becomes the site of alignment success or failure.
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 Behavior OS authority layer.
Continue from here
AI Ethics OS v1.0
Read next if you want the ethical substrate and CEK layer that behavior must inherit without violating.
AI Governance OS v1.0
Read next if you want the constitutional governance layer that sits alongside behavioral rules.
Educational / explanatory framework
Read next if you want the pedagogical and explanatory companion to the canonical behavioral standard.
Human-State-Aware AI Interaction
Read next if you want to understand the benchmark-support path for AI interaction consequences.
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 Behavior OS definition or certification.
Citation
Lee, J. (2025). AI Behavior OS v1.0: A Consciousness-Aligned Behavioral Operating System for Artificial Intelligence. Zenodo. https://doi.org/10.5281/zenodo.17926696
@misc{lee2025aibehavioros,
author = {Jinho Lee},
title = {AI Behavior OS v1.0: A Consciousness-Aligned Behavioral Operating System for Artificial Intelligence},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.17926696},
url = {https://doi.org/10.5281/zenodo.17926696},
note = {Canonical behavioral operating system for consciousness-aligned artificial intelligence within the CCF stack}
}
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 behavioral meaning, certify AI systems, validate benchmark infrastructure, validate Sal-Meter, or override the canonical archive.
Companion framework DOI: 10.5281/zenodo.17905927
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 behavior, 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.