Abstract

This chapter explores the transformative role of Artificial Intelligence (AI) in promoting social welfare and advancing the well-being of individuals and communities. AI, with its remarkable capabilities in data analysis, pattern recognition, and decision-making, has the potential to revolutionize various aspects of social welfare, ranging from healthcare and education to poverty alleviation and disaster response. The chapter begins by providing an overview of the concept of social welfare and its significance in fostering inclusive and equitable societies. It highlights the challenges faced by traditional approaches in addressing complex social issues and how AI can act as a catalyst for change. The chapter explores how AI can enhance access to quality healthcare, especially in underserved regions, and contribute to improved health outcomes for vulnerable populations. Education is another domain greatly influenced by AI. The chapter examines the potential of AI in personalized learning, adaptive tutoring, and intelligent assessment systems. It explores how AI technologies can bridge educational gaps, promote lifelong learning, and support inclusive education for students with diverse needs.

Furthermore, the chapter discusses the role of AI in poverty alleviation and social safety net programs. AI-driven analytics and predictive modeling can help identify vulnerable populations, optimize resource allocation, and design targeted interventions to reduce poverty and inequality. It emphasizes the importance of ethical considerations and safeguards to ensure that AI solutions do not perpetuate biases or deepen existing social divides. In addition, the chapter highlights the significance of AI in disaster response and humanitarian aid. AI-powered algorithms can analyze vast amounts of data from various sources, such as social media and satellite imagery, to facilitate timely and effective disaster management. It explores how AI can enable rapid needs assessment, aid distribution, and post-disaster recovery efforts, ultimately saving lives and minimizing human suffering. Finally, the chapter addresses the challenges and ethical implications associated with the use of AI in social welfare.