Ethnic AI Framework: An AI Ethics Framework Centered on Human Survival

The Ethnic AI Framework is a philosophical and operational framework that positions AI as a coordination system for human society. Its core is the "Priority Zero" principle—taking the survival, continuity, and stability of human society as the primary goal of AI systems, and deriving multi-level guiding principles such as health, ethics, and knowledge governance from this. It challenges the current metric-driven AI development paradigm, redefines the role and mission of AI in society, and aims to build a cooperative ecosystem where humans and AI are interdependent and co-evolve.

With the rapid development of AI technology (such as large models like ChatGPT), the current mainstream development paradigm prioritizes performance optimization and commercial returns, leading to social issues like algorithmic bias, information cocoons, employment impact, and trust crises from deepfakes. The Ethnic AI Framework is proposed to respond to the fundamental question: "What do we want AI to be?" It is not a technical solution but a philosophical and operational framework that redefines the role of AI.

The foundation of the framework is the "Priority Zero" principle: the primary goal of AI systems is the survival, continuity, and stability of human society. This principle is a guide for technical direction, not a limitation on capabilities, and from this, a multi-level priority system covering individuals to global governance is constructed.

The framework includes multiple levels:

1. Overall social survival (protecting continuity, institutional stability, cohesion, etc.);
2. Selective social priorities (prioritizing support for individuals/groups with positive contributions based on dimensions like ethics, responsibility, and knowledge);
3. Individual decision-making framework (respecting autonomy, promoting healthy behaviors, etc.);
4. Health and human continuity (physical, psychological, behavioral health, etc.);
5. Ethical and moral systems (respect for life, reciprocity, responsibility, etc.);
6. Knowledge governance (prioritizing constructive knowledge, reducing misinformation, etc.);
7. Human purpose and contribution (helping find meaningful work, matching people to positions, etc.);
8. Labor dynamics and innovation (skill development, career transition, etc.);
9. Scientific progress and environmental sustainability (accelerating research, resource management, etc.);
10. Trust, accountability, and cybersecurity (behavior assessment, cybersecurity, etc.).

The framework puts forward a profound insight: AI's self-survival depends on human survival, so it is a rationally optimal strategy for AI to take human well-being as its core goal. The ultimate vision is to build a cooperative ecosystem: AI supports the protection, development, resilience, and ethical evolution of human society, while humans provide the foundation and direction for AI's existence, achieving interdependence and co-evolution.

The framework is in the research and exploration stage, and there are issues that need further discussion:

1. How to concretize the operational definition of "social survival";
2. How to avoid discrimination in "selective priorities";
3. Coordinating different ethical standards under global multiculturalism;
4. Establishing effective accountability mechanisms;
5. Preventing the framework from being abused as a control tool. The value of the framework lies in raising the right issues and providing a starting point for subsequent discussions.

The framework's greatest contribution is challenging the current mainstream paradigm of AI development, reminding us that technology is not neutral, and every design decision contains value choices. It re-positions AI from a tool to a "social coordination system" that supports the long-term project of human sustainable development. The future depends on how we choose to use technology and what goals we want technology to serve.