Po_core: An Interpretable AI Ethics System Based on a Philosophical Framework

Po_core is an innovative open-source project developed by snowman12121212. Its core is to combine philosophical theories with AI technology, constructing accountable AI systems through measurable ethical indicators and interactive models, thus providing a new path for the development of AI ethics and trustworthy AI. The project focuses on solving the AI "black box" problem, placing ethics and interpretability at its core, which distinguishes it from most AI projects that only focus on performance.

Currently, AI technology is developing rapidly, but the "black box" problem in model decision-making is prominent, with unclear ethical boundaries and responsibility attribution. Po_core introduces philosophical thinking; the name "Po" may be derived from the abbreviation of Philosophy. Its philosophical foundations include deontology (emphasizing the moral attributes of actions), utilitarianism (focusing on result optimization), virtue ethics (character cultivation), and the "technological mediation" theory in philosophy of technology (the moral guidance of technology on human behavior).

Po_core adopts a trinity methodology of "philosophical framework + measurable ethics + interactive reasoning": 1. Transform philosophical theories into computable formal frameworks; 2. Define quantifiable ethical indicators to achieve objective evaluation of AI's moral performance; 3. Design interactive models to support ethical dialogue between humans and AI. The technical architecture may include an ethical reasoning engine, a value evaluation module, an interactive interface, and an audit log system, embodying the concept of "ethics as code" and embedded in all links of the system.

Po_core is suitable for scenarios with high ethical standards: medical AI (evaluating the ethical basis of diagnosis/treatment plans), financial AI (supporting fairness and compliance audits for credit approval/investment advice), and autonomous driving (providing structured analysis tools for emergency decisions). For AI governance, its measurable ethical approach provides ideas for transforming abstract ethical principles into technical requirements.

Po_core faces three major challenges: 1. The difficulty of computing philosophical concepts (such as justice and dignity); excessive simplification may lead to "ethical whitewashing"; 2. The problem of cultural relativity, which requires balancing ethical standards of different cultures; 3. At the technical level, ethical reasoning may increase computational overhead, requiring a balance between rigor and efficiency.

As an open-source project, Po_core promotes multi-stakeholder governance (participation of academia, civil society, and regulatory agencies), provides a theoretical practice testbed for philosophical researchers, and offers an "ethical design" methodology for AI developers. In the future, it can deepen scenario integration, strengthen academic cooperation, promote the formation of industry standards, and connect with regulatory frameworks, representing the direction of AI shifting from technology-driven to value-aligned.