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 Kumar, Binod; Ghosh, Oindrilla Title A name given to the resource Establishing the Cornerstones of Ethical AI in Education 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 Standards-Based AI Innovation for the Learning Ecosystem;pp.1-27 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2235-3.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2235-3.ch001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105036442976?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036442976?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 Kumar B., Radha Govind University, India; Ghosh O., Christ University, Bangalore, India Description An account of the resource Establishing the cornerstones of ethical AI in education is essential for fostering an inclusive and equitable learning environment. Ethical AI can enhance personalization, improve access to resources, and empower educators with data-driven insights. Key principles include transparency, accountability, fairness, and privacy. Transparency ensures that AI algorithms are understandable and their decisions are explainable, allowing educators and students to trust the technology. Accountability involves clear guidelines on who is responsible for AI's actions and decisions. Fairness seeks to prevent biases that can adversely affect marginalized groups, ensuring equal opportunities for all students. Privacy is crucial to protect sensitive data and safeguard students' rights. Educators, policymakers, and technologists must collaborate to establish frameworks that prioritize these ethical foundations, promoting responsible AI integration. By embedding these cornerstones into the educational system, we can harness AI's potential while safeguarding the rights and dignity of all learners. 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 Relation A related resource ISBN: 979-833732237-7; 979-833732235-3; 979-833732236-0; 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