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 Biswas, Md Aryan; Madhusudanan, Aradhana Title A name given to the resource Unlocking the future: A new era of artificial intelligence in efficiency, security, and intelligence with smarter systems 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 Artificial Intelligence in Records and Information Management;pp.333-366 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9795-4.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9795-4.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004962513?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004962513?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 Biswas M.A., Christ University, India; Madhusudanan A., Christ University, India Description An account of the resource This chapter explores the transformative role of AI in reshaping critical domains such as health records, legal records, library and information management, and media services including communication, publishing, and broadcasting. This chapter examines AI applications inclusive of electronic health records optimization, predictive analytics, automated legal document review, personalized resource recommendation, and content generation in the media. It also addresses ethical concerns such as data privacy algorithmic bias and the implications of workforce transformation to real-world examples and case studies. This chapter highlights the current impact and future potential in streamlining operations, reducing human error, and improving outcomes. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939797-8; 979-836939795-4; 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