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 Kismawadi, Early Ridho; Irfan, Mohammad; Harahap, Isnaini Title A name given to the resource Integrating artificial intelligence in Islamic financial management: Opportunities and challenges in maintaining Shariah compliance 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 Indigenous Empowerment through Human-Machine Interactions: The Challenges and Strategies from Business Lenses;pp.273-288 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83608-068-820251016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83608-068-820251016</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006477790?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006477790?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 Kismawadi E.R., IAIN Langsa, Indonesia; Irfan M., Christ University, India; Harahap I., Universitas Islam Negeri Sumatera Utara, Indonesia Description An account of the resource The objective of this study is to examine the potential incorporation of Artificial Intelligence (AI) technology into financial management practices that are based on Islamic principles, with a particular emphasis on ensuring Shariah compliance. The literature analysis methodological approach is employed to identify the opportunities and challenges associated with the adoption of AI in the Islamic Finance (IF) environment. The results indicate that the implementation of AI can enhance the efficacy, transparency, and precision of IF operations. However, there are numerous challenges associated with Shariah compliance and ethics. The findings of this study emphasize the importance of establishing a regulatory framework that is consistent with Shariah principles in order to ensure the successful implementation of AI in Islamic financial institutions (IFI). The need for collaboration between finance experts and academics to ensure that the technology is implemented in accordance with Shariah principles, as well as the expansion of training for IF (Islamic Finance) practitioners regarding the implications of AI, are among the recommendations. Future research should examine the influence of more specific AI implementation strategies on Islamic conformance and operational efficacy in the context of IF. 2025 Early Ridho Kismawadi, Mohammad Irfan and Isnaini Harahap. All rights reserved. Subject The topic of the resource Artificial Intelligence; Big data; Financial management; IF; Natural language processing; Technology integration Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183608068-8; 978-183608069-5; 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