A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS

Authors

  • Teja Reddy Gatla Sr. Data Scientist, Associate Director of AI Operations, Department of Information Technology

DOI:

https://doi.org/10.26662/ijiert.v11i3.pp1-8

Keywords:

Artificial Intelligence, Climate Change, Mitigation, Adaptation, Renewable Energy, Climate Modeling, Environmental Sustainability, Ethical Implications, Data Privacy, Algorithmic Bias, Socioeconomic Inequalities, Climate Resilience, Disaster Response

Abstract

This paper offers an in-depth exploration of different approaches to reduce greenhouse gas emissions, adapt to environmental changes, and create resilience among vulnerable populations. With their capacity to process big data, stabilize complex systems, and produce actionable insights quickly, AI technologies represent a significant force in developing ideas and solutions for the complex global system threats to climate change [1]. AI technologies pave the way for researchers and practitioners to devise more sophisticated climate modelling, optimize renewable energy systems, improve agriculture, and facilitate climate-adaptive measures and disaster response. In addition, this paper analyzes the impacts and the ethics in the context in which AI technologies can be deployed to combat climate change and adaptation. However, AI presents an impossible breakthrough in climate issues. However, at the same time, it generates problems with data protection, the prejudice of the algorithms, and the issues of social inequality [1]. Therefore, an analytical consideration of risks and tradeoffs related to AI-driven remedies is necessary to support the idea that climate solutions will be equitable and transparent and consider social values. This paper will carefully review the literature and case and provide clear ground on how AI technology is transformative in tackling the challenges associated with climate change. Moreover, the paper will navigate ethical complexities that may be inherent in deploying AI technologies globally.

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Published

2019-09-30

Issue

Section

Sciences