Integrating Artificial Intelligence and Sustainable Development: A Multidisciplinary Approach to Global Challenges

Abstract

The integration of Artificial Intelligence (AI) into sustainable development frameworks represents a transformative opportunity to address complex global challenges such as climate change, resource depletion, and socio-economic inequalities. This study explores the multidisciplinary convergence of AI technologies with environmental science, economics, and social policy to enhance sustainability outcomes. By examining current applications, including smart agriculture, renewable energy optimization, and predictive environmental monitoring, the paper highlights the potential of AI to improve efficiency and decision-making processes. However, it also critically evaluates ethical concerns, data biases, and governance challenges that may hinder equitable implementation. The findings suggest that a collaborative, interdisciplinary approach is essential for maximizing AI’s benefits while minimizing risks. The paper concludes with recommendations for policy integration, technological innovation, and global cooperation to ensure sustainable and inclusive development..