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 Meena Kumari, P.; Ramakrishna Reddy, K.; Manikandakumar, M. Title A name given to the resource Adaptive AI: Transforming Natural Language Processing and Industry Applications 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 Adaptive Artificial Intelligence: Fundamentals, Challenges and Applications;pp.73-100 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394389070.ch4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394389070.ch4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023735018?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023735018?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 Meena Kumari P., ICFAITech, ICFAI Foundation for Higher Education, Hyderabad, India; Ramakrishna Reddy K., ICFAITech, ICFAI Foundation for Higher Education, Hyderabad, India; Manikandakumar M., Artificial Intelligence and Data Science, School of Engineering &amp; Technology, Christ University, Bengaluru, India Description An account of the resource Adaptive Artificial Intelligence (AI) is an innovative development in the domain of intelligent systems because machines have attained the ability to independently learn, modify, and optimize their operations based on experience and other real-time information. While traditional artificial intelligence (AI) is programmed to follow a certain set of algorithms and rules step-by-step, adaptive AI systems have a level of independence that affords them the flexibility to change their actions. As a result, healthcare, finance, education, manufacturing, and many other industries can now employ AI, which was formerly not possible due to its inflexible nature, for enhanced and efficient decision-making, improved consumer practice, and effective working processes. There is significant scope for adaptive AI to transform Natural Language Processing (NLP) as well as business practices and solve complex problems. On the other hand, there is also the advancement of dependency on data, algorithmic perception, and ethical inquiries concerning the application of these technologies which pose a challenge. This proposed chapter emphasizes the techniques and applications of Adaptive AI in NLP and the ethical challenges that make it authoritative to adopt responsible development of artificial intelligence. 2025 Scrivener Publishing LLC. Subject The topic of the resource adaptive AI; AI-powered learning; chatbots; finance; machine learning; Natural language processing; personalized healthcare Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139438907-0; 978-139438904-9; 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