Authors

1. Dr. Chandresh Kumar Chhatlani

Affiliation

• Associate Professor (Computer Sc.), JRN Rajasthan Vidyapeeth, Udaipur

Abstract

India faces severe, systemic impediments-including persistent poverty, hunger, significant healthcare deficits, gender inequality, and underdeveloped infrastructure—in its commitment to the United Nations Sustainable Development Goals (SDGs). This systematic review investigates the capacity of Artificial Intelligence (AI) to provide transformative, data-driven solutions capable of overcoming these deep-rooted barriers. By synthesizing recent academic literature, policy reports, and case studies, this review demonstrates that AI-powered tools, such as predictive analytics, automation, and machine learning, can dramatically enhance efficiency, scalability, and decisionmaking across vital development sectors. Specifically, we find that AI applications in areas such as targeted welfare distribution, precision agriculture, telemedicine, bias-mitigated recruitment, and smart urban infrastructure possess substantial potential to accelerate India's progress toward its SDG targets. The primary conclusion is that while AI offers immense opportunities for rapid development, its implementation must be strictly guided by ethical and equitable principles, supported by robust policy frameworks and intense cross-sector collaboration, to ensure growth is both sustainable and inclusive. This paper contributes a synthesized, thematic perspective on the
practical and ethical role of AI in advancing India's SDG journey.

Keywords

Artificial Intelligence, Sustainable Development Goals, India, AI for Social Good, Systematic Review

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