AI-Driven Solutions for Sustainable Development Goals (SDGs):Addressing Global Challenges in Poverty, Education, and Healthcare
The Sustainable Development Goals (SDGs), set by the United Nations, aim to address global challenges such as poverty, education, and healthcare by 2030. AI, ML, and robotics are powerful tools in achieving these objectives. Their ability to process vast amounts of data, predict trends, and automate complex tasks is revolutionizing approaches to sustainable development. This paper explores the role of AI-driven technologies in advancing SDGs, highlighting their impact on poverty alleviation, education, and healthcare. This paper explores the transformative role, impact, challenges, and ethical considerations of integrating Artificial Intelligence (AI), Machine Learning (ML), and Robotics in achieving the nation's Sustainable Development Goals (SDGs) growth and an inclusive future for India by 2047. As India aspires to become a developed nation, AI and ML present unprecedented opportunities to enhance economic productivity, bridge socio-economic disparities, and improve governance. Key focus areas include AI-driven advancements in industry, agriculture, healthcare, financial inclusion, and environmental sustainability. These technologies are providing innovative solutions to critical global challenges such as poverty reduction (SDG 1), quality education (SDG 4), and good health and well-being (SDG 3). AI-driven predictive analytics enhance resource distribution and policy decision-making, ML algorithms personalize education and bridge learning gaps, and robotics in healthcare improve medical diagnostics, patient care, and treatment accessibility. India can ensure equitable and responsible AI adoption by addressing challenges such as ethical AI use, data privacy, and skill development.
Institutions
- Tilak Maharashtra Vidyapeeth (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5281/zenodo.15111028
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00