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Research Paper Volume 7 Issue 5 297 - 306 September 14, 2024

Artificial Intelligence’s Role in Environmental Conservation: A Study on Harnessing Artificial Intelligence for Planetary Preservation

Lead author · Corresponding
Vasudha Sharma
LL.M. Student at Guru Nanak Dev University, Amritsar, Punjab, India
Co-author
Abheyshek Jamwal
LL.M. Student at Guru Nanak Dev University, Amritsar, Punjab, India
Abstract

The escalating environmental challenges confronting our planet demand innovative solutions. Among these, Artificial Intelligence (AI) emerges as a powerful ally in the quest for environmental conservation and sustainability. This research article delves into the multifaceted role of AI in mitigating environmental degradation and fostering planetary preservation. Through an extensive review of literature and case studies, the study elucidates the diverse applications of AI in environmental monitoring, conservation, and management. From optimizing renewable energy systems to revolutionizing waste management practices, AI offers unprecedented opportunities for enhancing resource efficiency and minimizing ecological footprint. Furthermore, AI’s predictive capabilities enable proactive measures in disaster management and biodiversity protection, mitigating the adverse impacts of climate change and human encroachment on natural habitats. However, alongside its potential benefits, the paper also addresses the ethical considerations and potential risks associated with AI deployment in environmental contexts. By synthesizing existing research and providing insights into future directions, this study underscores the imperative of harnessing AI as a catalyst for sustainable development and planetary well-being.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 5, Page 297 - 306
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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