Sociological Perspective on the Future of AI in Health: Trends and Prospects

Abstract

The chapter explores the complex relationship between sociology and artificial intelligence (AI) in healthcare, focusing on its integration within broader sociological frameworks. It highlights the importance of understanding the socio-economic factors driving the proliferation of AI in health, such as accessibility, equity, and the digital divide, which can exacerbate existing inequalities and lead to differential health outcomes. The chapter also examines the socio-cultural dimensions of AI in health, examining how perceptions, attitudes, and trust shape the acceptance and utilization of AI-driven healthcare solutions among diverse populations. The chapter critically assesses the ethical and social implications of AI technologies in healthcare, acknowledging concerns related to privacy, data security, algorithmic bias, and the erosion of human agency in healthcare decision-making. It emphasizes the need for robust governance mechanisms to mitigate potential harms and safeguard rights and dignity of an individuals.