Advocate at Supreme Court of Nepal and Assistant Professor at Nepal Law campus, Tribhuvan University, Exhibition Road, Kathmandu, Nepal
AI has the potential to revolutionize the fight against climate change, but it also poses new challenges for environmental law. The future of environmental law depends on the responsible development and use of AI, as AI can be used to both help and harm the environment. Artificial intelligence (AI) is transforming many industries, and the fight against climate change is no exception. AI has introduced to enable machines or computer systems to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. The idea behind the development of AI is to create intelligent machines that can perform tasks that would otherwise require human intelligence, skills, and expertise. AI is a double-edged sword when it comes to climate change: it can be used to help us track and mitigate climate change, but it can also be used to create new environmental problems. AI applications such as energy forecasting, smart grids, and climate modeling have the potential to greatly enhance our ability to mitigate and adapt to the impacts of climate change. However, these technologies also raise important legal and ethical questions that must be addressed. This article examines the opportunities and challenges of using AI in the fight against climate change from an environmental law perspective. It explores the potential benefits of AI in enhancing environmental monitoring, improving resource efficiency, and supporting climate adaptation and mitigation strategies. It also examines the legal and ethical challenges posed by AI, including issues of accountability, transparency, and bias. The article argues that environmental law must keep pace with the rapid development of AI to ensure that its potential benefits are realized while minimizing its risks and negative impacts on the environment.
Article
International Journal of Law Management and Humanities, Volume 6, Issue 4, Page 390 - 398
DOI: https://doij.org/10.10000/IJLMH.115396This 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.
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