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              <text>Assessing Climate Change through Artificial Intelligence An Ethico-Legal Study</text>
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              <text>IPCC (The Intergovernmental Panel on climate change) [1], in the 6th Assessment Report released in 2022, reports that the net anthropogenic GHGs (greenhouse gases) continued to rise during the period 2010-19. It shows that GHG emission in the last decade is the highest in human history. According to the World Inequality Report, 2022, carbon dioxide concentration level in the atmosphere across the globe is the highest in millions of years. Consistent rise in the global emission level leading to alarming rise in atmospheric temperature has been a cause of concern for mankind. Rising atmospheric temperature leading to climate change has severely affected weather patterns; led to melting of glaciers; caused natural disaster and extinction of species, and severely impacted the ground water table. It has put the human race at a crossroads and thrown open an existential question for the world. Attempts have been made, both international and national, to reverse the impact of the rising scenario concerning climate change but have yet to be successful. The technological revolutions arising in recent times, especially in the domain of Artificial Intelligence (AI), offer hope to give a new shape to human civilization. With the aid of human intelligence, AI can perform assessment and predictive work as well which may help in mitigating the effect of adversely affecting climate change and help improve the environment. As per UNESCO (United Nations Educational, Scientific and Cultural Organisation), AI can perform assessment and prediction of climate change, which may assist in the protection of the environment. The Council identifies three priority areas relating to use of AI which includes improved understanding and predictions of climate change and geohazards [2]. This chapter aims at exploring the contribution of AI in assessing the behavioral pattern of climate change and the ethico-legal challenges involved therein.  2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.</text>
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              <text>Mishra A.; Pandey A.; Mohanty S.</text>
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              <text>Artificial Intelligence in Forecasting: Tools and Techniques, pp. 130-145.</text>
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              <text>CRC Press</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003399292-10" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003399292-10&lt;/a&gt;
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              <text>ISBN: 978-104005150-4; 978-103250615-9</text>
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              <text>Mishra A., School of Law, Christ University, Karnataka, Bangalore, India; Pandey A., School of Law, Christ University, Karnataka, Bangalore, India; Mohanty S., School of Law, Christ University, Karnataka, Bangalore, India</text>
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