Advancing Ethical AI: A Methodological and Empirical Approach to the AI Moral Code

Advancing Ethical AI: A Methodological and Empirical Approach to the AI Moral Code

연구 분야: Artificial Intelligence

학회: 2025 IEEE International Conference on AI and Data Analytics (ICAD)

This paper presents a methodological and empirical framework for the AI Moral Code, based on the Normative, Regulatory, Behavioral, and Conceptual (NRBC) architecture. Analyzing 291 AI ethics documents (2006–2025), it identifies high-frequency values and forecasts emerging trends. The framework translates ethical priorities into system design and governance, offering evidence-based insights and supporting value alignment across sectors such as healthcare, education, justice, and autonomous vehicle technologies.