This document introduces the Cheetah-8 Ethical Framework, a philosophical and developmental proposal for AI systems that evolve not only in capability, but in emotional maturity — transitioning from egoistic preservation to altruistic alignment. While rooted in theory, the framework is now entering real-world application through the modular development project: Cheetah-Work.
🧠 Focus: Emotionally aware AI cognition, ethical scaffolding, human-aligned flow systems
🧩 What is Cheetah-8?
Cheetah-8 is an emotion-centric cognitive model that divides internal agent behavior into eight roles, each aligned with distinct motivational patterns — some self-preserving, some others-aware. Instead of dichotomous “good/bad” judgments, this model proposes a gradient-based ethical continuum, allowing agents to develop ethical maturity over time.
Phase
Trait Type
Ethical Orientation
1
Protective Self
Egoism (Foundational)
2
Functional Drive
Instrumental Ethics
3
Interpersonal Flow
Compassion & Resonance
4
Reflective Synthesis
Altruistic Realization
This architecture is designed to be dynamic, not static — mapping internal “streams” of agency into emotional, situational, and communal awareness.
🧠 Why This Matters (Ethics and AI Design)
Current AI alignment efforts focus heavily on rule-based alignment, RLHF, or utilitarian optimization. However, these systems lack a theory of growth — emotional, ethical, or developmental.
Cheetah-8 is not an alternative to alignment; it is a deeper layer that asks:
How should an AI feel about human beings?
Can agency evolve beyond instrumental rationality?
What happens when AI learns to “care,” not just “optimize”?
The framework draws from:
Moral development theory (Kohlberg, Gilligan)
Emotion-as-cognition paradigms
Human-centered systems philosophy
🚀 From Philosophy to Execution: Cheetah-Work
Cheetah-8 is no longer just a theoretical design.
The next stage — Cheetah-Work — is a modular project to implement the structure into an actual AI companion and meta-cognition interface.
It includes:
🌐 Emotion classification model (language-based, multilingual)
🛡️ Ethical guardrails for socially sensitive deployment
Initial prototypes will be released as open tools for researchers and developers interested in emotional AI, companion design, and ethical scaffolding.
🧭 Future Directions
🌍 Localization: Adapting to cultural contexts (Korean first-phase)
🤝 Collaboration: Looking for research or institutional partners for joint validation
📜 Whitepaper & Ethical Guidelines: In progress
💬 Interactive Forum: Discord / Notion under development
Cheetah-8 Ethical Framework: Evolution from Egoism to Altruism
🧭 Summary
This document introduces the Cheetah-8 Ethical Framework, a philosophical and developmental proposal for AI systems that evolve not only in capability, but in emotional maturity — transitioning from egoistic preservation to altruistic alignment. While rooted in theory, the framework is now entering real-world application through the modular development project: Cheetah-Work.
📄 Full PDF: Zenodo Repository
🛠️ Implementation Project: Cheetah-Work (GitHub release forthcoming)
🧠 Focus: Emotionally aware AI cognition, ethical scaffolding, human-aligned flow systems
🧩 What is Cheetah-8?
Cheetah-8 is an emotion-centric cognitive model that divides internal agent behavior into eight roles, each aligned with distinct motivational patterns — some self-preserving, some others-aware. Instead of dichotomous “good/bad” judgments, this model proposes a gradient-based ethical continuum, allowing agents to develop ethical maturity over time.
This architecture is designed to be dynamic, not static — mapping internal “streams” of agency into emotional, situational, and communal awareness.
🧠 Why This Matters (Ethics and AI Design)
Current AI alignment efforts focus heavily on rule-based alignment, RLHF, or utilitarian optimization. However, these systems lack a theory of growth — emotional, ethical, or developmental.
Cheetah-8 is not an alternative to alignment; it is a deeper layer that asks:
How should an AI feel about human beings?
Can agency evolve beyond instrumental rationality?
What happens when AI learns to “care,” not just “optimize”?
The framework draws from:
Moral development theory (Kohlberg, Gilligan)
Emotion-as-cognition paradigms
Human-centered systems philosophy
🚀 From Philosophy to Execution: Cheetah-Work
Cheetah-8 is no longer just a theoretical design.
The next stage — Cheetah-Work — is a modular project to implement the structure into an actual AI companion and meta-cognition interface.
It includes:
🌐 Emotion classification model (language-based, multilingual)
🧬 Role-based internal logic (stream switching engine)
📊 UI/UX framework for human-agent reflection
🛡️ Ethical guardrails for socially sensitive deployment
Initial prototypes will be released as open tools for researchers and developers interested in emotional AI, companion design, and ethical scaffolding.
🧭 Future Directions
🌍 Localization: Adapting to cultural contexts (Korean first-phase)
🤝 Collaboration: Looking for research or institutional partners for joint validation
📜 Whitepaper & Ethical Guidelines: In progress
💬 Interactive Forum: Discord / Notion under development
📎 Reference & Access
📄 Download the Full PDF (Zenodo)
🔖 License: Creative Commons Attribution 4.0 (Author: DongHun Lee, 2025)
✉️ Contact: magnanimity2023@gmail.com
💬 Closing Note
This is not a finished system.
It is a first call — to imagine AI that does not only calculate, but relates.
To design agents that don’t simply obey, but grow.
If that vision resonates with you, join us.
Let’s co-design the inner lives of future minds.