MRI
MRI India Journals Vol. 14 No. 1 (2025)

Artificial Intelligence for Climate Changes Solution

Authors

  • Aanchal Tiwari MCA Department Suryodaya College of Engineering & Technology, Nagpur
  • Akansha Gahane MCA Department Suryodaya College of Engineering & Technology, Nagpur
  • Avinash Thakare MCA Department Suryodaya College of Engineering & Technology, Nagpur
  • Rohit Kumbhare MCA Department Suryodaya College of Engineering & Technology, Nagpur
  • Rahul Lilhare MCA Department Suryodaya College of Engineering & Technology, Nagpur

DOI:

https://doi.org/10.65521/ijacte.v14i1.480

Keywords:

Artificial Intelligence Climate Change Mitigation and Adaptation Sustainable Development

Abstract

Climate change is a growing worldwide emergency that requires urgent, creative, and inter-disciplinary responses. Artificial Intelligence (AI) has become a game-changing instrument in addressing climate change, providing enhanced data analysis, machine learning, and predictive modeling capacities. AI is a critical component of both mitigation and adaptation efforts through enhanced climate modeling, energy system optimization, improved environment monitoring, and facilitating data-informed decision-making.

While AI holds great promise e.g., predicting renewable energy output, monitoring deforestation, and streamlining resource allocation it also has downsides, including high energy demand, ethical dilemmas, and the potential to widen inequalities. This paper discusses the diverse applications of AI for climate action, assesses its advantages and drawbacks, and presents practical recommendations for ensuring effective and responsible AI use. By coupling AI innovation with climate targets, policymakers, scientists, and industries can unlock its potential for a sustainable tomorrow.

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Published

2025-05-29

How to Cite

Tiwari, A., Gahane, A., Thakare, A., Kumbhare, R., & Lilhare, R. (2025). Artificial Intelligence for Climate Changes Solution. International Journal on Advanced Computer Theory and Engineering, 14(1), 273–276. https://doi.org/10.65521/ijacte.v14i1.480

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