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 Hussain, Shayak Title A name given to the resource Integrating AI into Corporate Social Responsibility (CSR) for Ethical and Sustainable Business Practices 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 Integrating Sustainability Principles With AI-Driven Entrepreneurial Strategies;pp.41-70 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1107-4.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1107-4.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021453284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021453284?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 Hussain S., Christ University, Ghaziabad, India Description An account of the resource The rapid advancement of artificial intelligence (AI) technologies has significantly transformed various facets of business operations, including corporate social responsibility (CSR). As businesses strive to align their growth strategies with ethical, social, and environmental responsibilities, AI emerges as a powerful tool to enhance the effectiveness of CSR initiatives. This research investigates the integration of AI into CSR, exploring its potential to drive more sustainable business practices, improve transparency, and foster ethical decision-making within organizations. By employing a combination of qualitative and quantitative research methods, this study examines how AI-powered analytics, automation, and decision-making frameworks can optimize CSR efforts. Key areas of exploration include AI's role in enhancing supply chain sustainability, optimizing resource allocation, detecting unethical business practices, and enabling real-time monitoring and reporting of CSR initiatives. 2026, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731109-8; 979-833731107-4; 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