Formation-based AI ethics: ethical formation, responsibility, and opportunity cost in AI ecosystems

Abstract Recent efforts in AI ethics have been dominated by the proliferation of high-level principles intended to guide responsible development and deployment. Yet persistent implementation failures suggest that principlism and tool-based approaches alone do not cultivate the moral capacity required to govern sociotechnical systems. This article advances a formation-based framework for AI ethics that situates moral agency throughout the developmental conditions of design, use, and the AI lifecycle. Drawing on Aristotelian-MacIntyrean virtue ethics applied to media ecology, and sociotechnical responsibility, the argument reframes AI as a formative environment that shapes patterns of attention, judgment, delegation, and accountability over time. Against claims that complexity produces responsibility gaps, the paper develops a relational and procedural account of responsibility that is traceable across the AI lifecycle. It further introduces opportunity cost as a neglected ethical category, highlighting the cognitive and moral capacities forfeited when optimization and seamless delegation displace deliberation or self-governance. By integrating character formation, responsibility, and opportunity-cost analysis, the article offers a conceptual framework for ethical intervention across design, professional formation, and governance. The conclusion outlines implications for AI education and institutional oversight and calls for future empirical, interdisciplinary, and cross-cultural development of formation-based ethics.