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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Artificial Intelligence for Enhanced Anti-Money Laundering and Asset Recovery: A New Frontier in Financial Crime Prevention Subject The topic of the resource Anti-Money Laundering (AML); Artificial Intelligence (AI); Machine Learning Algorithms; Suspicious Activity Reports (SARs); Transaction Monitoring Description An account of the resource The incorporation of artificial intelligence (AI) into asset recovery and anti-money laundering (AML) procedures signifies a revolutionary change in the handling of financial crime. This article investigates the use of AI techniques to improve AML compliance, detect suspicious activity, and improve transaction monitoring. Financial institutions can now analyze massive volumes of transaction data in real-time, find anomalies, and lower false positives thanks to AI-based solutions, which include machine learning algorithms and predictive modeling. The research also outlines the difficulties and advantages of implementing AI, such as enhancing the effectiveness and caliber of suspicious activity reports (SARs) while resolving security and privacy issues with data. The study makes the case that AI's capacity to offer collaborative analytics and dynamic risk assessments is essential for the development of AML frameworks and the overall effectiveness of financial crime prevention. 2024 IEEE. Creator An entity primarily responsible for making the resource Balaji K. Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2024 - Proceedings, pp. 1010-1016. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICoICI62503.2024.10696100" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICoICI62503.2024.10696100</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207230856&amp;doi=10.1109%2FICoICI62503.2024.10696100&amp;partnerID=40&amp;md5=c64ed3d6e020203c16abf10d7c791e64" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207230856&amp;doi=10.1109%2fICoICI62503.2024.10696100&amp;partnerID=40&amp;md5=c64ed3d6e020203c16abf10d7c791e64</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154066-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Balaji K., Christ University, Business and Management, Bengaluru, India