Ethics of artificial intelligence and social responsibility: a normative perspective

The rapid development of artificial intelligence poses ethical, educational, political, and social challenges that demand normative frameworks capable of guiding its design, implementation, and regulation. This article proposes a theoretical articulation between the principles of AI ethics, scientific literacy, critical thinking, and the philosophical tradition of synderesis in Thomas Aquinas. Drawing on previous work on the Montreal Declaration for Responsible AI, the ethics of autonomous vehicles, national proposals from the United States, China, and Russia, and the social function of university regionalization, it argues that a robust AI ethic cannot be reduced to technical codes or abstract declarations. On the contrary, it requires critical civic education, a normative understanding of the common good, and situated governance that addresses the cultural, educational, and regional conditions in which the technology operates. The article concludes that responsibility in AI should be understood as an institutional, pedagogical, and political practice guided by universal principles but applied contextually.