ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE DEVELOPMENT

Authors

  • Prof. Kumbhar Sakshi Author

Keywords:

Artificial Intelligence, Sustainable Development, Machine Learning, Smart Cities, Climate Change, SDGs,,

Abstract

Sustainable development has been recognized as a global issue due to climate change, increasing 
population, resource depletion, and socio-economic inequalities. Artificial Intelligence (AI) as a digital 
revolutionizing technology promises to provide the required tools for solving these pressing problems 
with intelligent data analysis, prediction, and automation. The present research paper focuses on the 
contribution of AI towards achieving sustainable development in different areas such as agriculture, 
healthcare, energy, and smart cities. The paper reviews the major AI technologies like machine 
learning, deep learning, computer vision, and natural language processing and their applications with 
the help of case studies. Additionally, the paper also discusses the difficulties and challenges of AI 
adoption from ethical, technical, and environmental points of view. Finally, the paper concludes with 
the future scope and the importance of AI for the betterment of the world with respect to sustainable 
development goals 

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References

S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach,

Pearson.

United Nations, Sustainable Development Goals Report.

IEEE Access, AI for Sustainability.

Nature Sustainability, Machine Learning and Climate Change.

Springer, AI Applications in Smart Cities

Downloads.

Published

2026-03-27

How to Cite

ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE DEVELOPMENT . (2026). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 4(1.1), 477-481. https://pimrj.org/index.php/pimrj/article/view/326