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 Lalchhanhima, J.K.; Rajendran, Vijayalaxmi; Madhusudanan, Aradhana Title A name given to the resource Reducing the workload: AI as a support tool for human content moderators 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 Content Moderation in the Age of AI;pp.251-284 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0335-2.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0335-2.ch010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005130027?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005130027?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 Lalchhanhima J.K., Christ University, India; Rajendran V., Christ University, India; Madhusudanan A., Christ University, India Description An account of the resource Content moderation on digital platforms has evolved into a critical challenge due to the volume and complexity of user- generated content. This chapter explores the transformative role of Artificial Intelligence (AI) in addressing this issue, highlighting its capacity for scalability, efficiency, and consistent enforcement of policies. However, AI's limitations-such as interpreting context, navigating cultural nuances, and avoiding bias-underscore the necessity of human involvement. The hybrid AI- human approach emerges as the most effective model, leveraging AI's data- processing capabilities to alleviate workload while relying on moderators for nuanced judgments and ethical oversight. Through case studies of major platforms like Meta, Reddit, and YouTube, this chapter demonstrates the potential and challenges of integrating AI into moderation. It advocates for transparency, ethical AI practices, and research to refine hybrid models, aiming to balance efficiency, fairness, and trust. This chapter contributes to the discourse on sustainable, ethical frameworks in the digital age. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730337-6; 979-833730335-2; 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