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 Singh, Rubee; Pandey, Ananya; Kandpal, Vinay Title A name given to the resource Synergizing Artificial Intelligence and Sustainability for Sustainable Climate Action: Decoding the Digital Dilemma Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Climate Change Management;Volume;Part F1345;pp.357-372 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-03484-7_19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-03484-7_19</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027906932?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027906932?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 Singh R., Institute of Business Management, GLA University, Uttar Pradesh, Mathura, India; Pandey A., Christ University, Karnataka, Bangalore, India; Kandpal V., Department of Management Studies, Graphic Era Deemed to be University, Uttarakhand, Dehradun, India Description An account of the resource The rapid development and use of artificial intelligence (AI) tools across a range of industries in recent years has spurred a revolution in the way that global issues like climate change and the improvement of sustainable energy solutions are addressed. These resources not only strengthen motivation but also radically alter how environmental and energy-related concerns are approached. It is essential to assess current practices in energy and climate change modeling in order to pinpoint areas for future application, given the growing worldwide reliance on efficient and sustainable energy solutions as well as the development of artificial intelligence and machine learning. Keeping this in mind, the authors of the chapter examine the interplay between AI, the sustainability approach, and its impact on climate change. The chapter examines the policy perspective on AI and climate action, balancing it with a sustainable development perspective. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Adaptation; Artificial intelligence; Circular economy; Climate change; Mitigation; Renewable energy; Zero emission Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 16102002; 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