Multidisciplinary Approaches to AI Integration in Education and Healthcare Systems

Abstract

The integration of Artificial Intelligence (AI) into education and healthcare systems has gained significant momentum in recent years, with the potential to revolutionize both sectors by enhancing efficiency, accessibility, and outcomes. This chapter explores the multidisciplinary approaches to AI integration, focusing on how collaboration across fields such as data science, psychology, social sciences, and policy-making can ensure the successful deployment of AI technologies.. It examines the transformative role of AI in personalized learning, administrative automation, diagnostic support, and telemedicine, while also addressing the challenges faced in data privacy, system interoperability, and resistance to adoption. Finally, the chapter emphasizes the societal impacts of AI adoption, urging continuous learning, ethical practices, and stakeholder involvement to ensure that AI serves to improve the quality of life globally in both educational and healthcare contexts.

Ähnliche Arbeiten