Intelligent Social Welfare: How AI Optimizes Social Assistance, Elderly Care, and Healthcare Systems

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in social welfare systems, providing innovative solutions to enhance efficiency, accessibility, and equity. This paper examines AI applications in social assistance, elderly care, and healthcare, demonstrating how predictive analytics, automation, and data-driven decision-making optimize service delivery. The research also explores the ethical, legal, and governance challenges of AI integration, including algorithmic bias, data privacy, and transparency. Furthermore, international policy comparisons illustrate diverse approaches to AI-driven welfare models. The study concludes with future research directions, emphasizing the need for ethical frameworks and regulatory oversight to ensure AI-driven social welfare remains inclusive and effective.