ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE DEVELOPMENT: THE ROLE OF MATHEMATICS

Authors

  • Prof. Monika Pralhad Sakunde Author

Keywords:

Artificial Intelligence, Sustainable Development, Mathematics in AI, Linear Algebra, Calculus, Probability and Statistics,,

Abstract

Artificial Intelligence (AI) is increasingly recognized as a powerful technology for achieving 
the United Nations Sustainable Development Goals (SDGs). However, AI systems are 
fundamentally built upon mathematical principles such as optimization, probability theory, 
linear algebra, and information theory. These mathematical foundations enable AI systems to 
analyze complex datasets, identify patterns, and support data-driven decision-making in 
sustainability-related challenges. This paper explores the critical role of mathematics in the 
development of AI systems for sustainable development. It highlights key mathematical 
disciplines that enable impactful AI applications and discusses research opportunities and 
challenges in integrating mathematics, artificial intelligence, and sustainability science. 

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References

United Nations. (2015). Transforming Our World: The 2030 Agenda for Sustainable

Development. New York: United Nations.

Stuart Russell & Peter Norvig. (2021). Artificial Intelligence: A Modern Approach

(4th ed.). Pearson Education.

Christopher M. Bishop. (2006). Pattern Recognition and Machine Learning. Springer.

Ian Goodfellow, Yoshua Bengio, & Aaron Courville. (2016). Deep Learning. MIT

Press.

5) https://www.ijisrt.com/assets/upload/files/IJISRT25SEP829.pdf

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Published

2026-03-19

How to Cite

ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE DEVELOPMENT: THE ROLE OF MATHEMATICS. (2026). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 4(1.1), 226-232. https://pimrj.org/index.php/pimrj/article/view/281