International Journal on Science and Technology

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AI and ML for Environmental Sustainability: Tackling Climate Change

Author(s) Sriker Reddy Palla
Country United States
Abstract Artificial intelligence and machine learning technologies are emerging as powerful tools for addressing
climate change and promoting environmental sustainability. This article explores the three foundational
pillars of AI's application in environmental contexts: data engineering infrastructure that collects and
processes vast environmental datasets. These data science methodologies extract actionable insights from
this information and machine learning models that enable adaptive environmental solutions. While
highlighting the transformative potential of these technologies across sectors, including energy
management, agricultural planning, and natural disaster prediction, the article also addresses the
paradoxical challenge of AI's carbon footprint. The article presents a balanced perspective on maximizing
beneficial outcomes while minimizing ecological harm by examining the opportunities and
responsibilities inherent in deploying AI for environmental purposes. The discussion covers strategic
implementation approaches, prioritizing high-impact applications, developing energy-efficient AI
systems, creating transparent environmental impact frameworks, and fostering cross-disciplinary
collaboration to ensure AI contributes positively to global sustainability efforts.
Keywords Environmental artificial intelligence, climate data engineering, sustainability machine learning, carbon-aware computing, cross-disciplinary environmental collaboration.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This AI and ML for Environmental Sustainability: Tackling Climate Change - Sriker Reddy Palla - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2663
DOI https://doi.org/10.71097/IJSAT.v16.i1.2663
Short DOI https://doi.org/g892fq
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