Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pandey, Ananya; Joseph, Jipson Title A name given to the resource Role of Artificial Intelligence in Combating Climate Change: The Green Algorithm Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Use and Abuse of AI in Warfare, Human Development, and Social Justice;pp.235-255 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-8866-2.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8866-2.ch011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039997340?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039997340?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey A., Christ University, Bangalore, India; Joseph J., Christ University, Bangalore, India Description An account of the resource In a globalized tech-driven world, Artificial intelligence (AI) is a powerful weapon, providing pathways to reduce climate change. AI has a wide range of applications against climate change, including predictive analytics, environmental monitoring, and energy management. AI improves predictive analytics, providing information about disaster relief and climatic trends. Cutting-edge models anticipate extreme weather, rising sea-levels, and climate-related phenomena, enabling governments and communities to plan better for the society. AI-driven simulations help with urban planning and creation of climate resilient infrastructure. Application of AI in climate action confronts obstacles despite its potential. Important issues include algorithmic bias, privacy, and effects of computing on environment. To ensure AIs constructive contribution without unexpected consequences and addressing abovementionedconcerns requires strong governance frameworks, ethicalconsiderations, and ongoing research. This chapter examines how AI transforms climate action and enhances environmental preservation. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. Publisher An entity responsible for making the resource available IGI Global Scientific Publishing Relation A related resource ISBN: 979-836938868-6; 979-836938866-2; 979-836938867-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online