Pathways to Advancing the Discipline of Social Security in the Age of Artificial Intelligence
Yumin Chen · Contemporary Education Frontiers · 2025
The advent of the Artificial Intelligence (AI) era is reshaping the theoretical paradigms and implementation models of social security, necessitating the advancement of its academic discipline. The discipline confronts outdated curricula, a lack of interdisciplinary faculty expertise, and a significant gap between theoretical research and technological application. Addressing these challenges requires systemic reform focused on three objectives: cultivating interdisciplinary professionals with both theoretical foundations and advanced data literacy; integrating computational social science with traditional social security theories; and championing the synergy between technological ethics and social governance to ensure technology serves the common good ("technology for good"). Key strategies include modernizing course content and pedagogy, innovating collaborative education models that bridge academia and industry, and building interdisciplinary faculty teams. This transformation is not a mere technological adaptation but a fundamental imperative for the discipline to achieve principled innovation while upholding its core values of equity and justice.