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 Title A name given to the resource Harnessing Artificial Intelligence for Sustainable Innovation and Policy: The Eco-Intelligence 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 Leveraging AI for Inclusive and Equitable Development;pp.159-178 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2387-9.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2387-9.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023253977?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023253977?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 Description An account of the resource Artificial Intelligence (AI) is revolutionizing sustainable innovation and policymaking by optimizing resource management, enhancing environmental monitoring, and fostering circular economies. This chapter explores Eco-Intelligence-the integration of AI-driven analytics, predictive modeling, and automation in addressing environmental challenges. By leveraging machine learning, and digital twins, AI enables real-time decision-making for climate adaptation, carbon footprint reduction, and green supply chains. Also, AI-driven regulatory frameworks enhance compliance with sustainability standards, bridging the gap between technological advancement and environmental governance. However, ethical concerns, algorithmic biases, and data privacy issues pose challenges to AI's effective deployment in sustainability policy. This chapter critically examines the intersection of AI, environmental stewardship, and regulatory landscapes, proposing a balanced approach to harness AI's potential for long-term ecological and economic resilience. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833732389-3; 979-833732387-9; 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