Artificial Intelligence and Machine Learning for Sustainable Development: Enhancing Health, Equity, and Environmental Sustainability

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are pivotal in addressing some of the world's most pressing challenges. These technologies are transforming healthcare, reducing inequalities, and fostering environmental sustainability, all while contributing to the realization of the United Nations' Sustainable Development Goals (SDGs). In healthcare, AI and ML enhance predictive diagnostics and treatment, especially in underserved regions. Additionally, these technologies promote social equity by democratizing access to education, financial services, and employment. Moreover, AI-driven solutions for climate change mitigation and resource management play a critical role in advancing environmental sustainability. However, ethical challenges such as algorithmic bias, data privacy, and the digital divide must be addressed to ensure AI's positive impact on global development.