IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Unlocking New Potentials in Generative AI

Unlocking New Potentials in Generative AI
View Sample PDF
Author(s): P. Ashok (Symbiosis Institute of Digital and Telecom Management, India), Tanisha Mangal (Symbiosis Institute of Digital and Telecom Management, India), Lakshmi Sridevi (Chennai Institute of Technology, India)and Krishna K. Murali (Rajalakshmi Engineering College, India)
Copyright: 2025
Pages: 20
Source title: Humans and Generative AI Tools for Collaborative Intelligence
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada), V. Vinoth Kumar (Vellore Institute of Technology, India), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and Joseph Richards (California State University, Sacramento, USA)
DOI: 10.4018/979-8-3693-8332-2.ch021

Purchase

View Unlocking New Potentials in Generative AI on the publisher's website for pricing and purchasing information.

Abstract

Generative AI, a subset of artificial intelligence, is dedicated to the development of models that are capable of producing new content, including text, imagery, audio, and entire virtual worlds. Generative AI is capable of replicating human creativity and generating outputs that were previously considered to be exclusively the domain of human intelligence by utilizing sophisticated machine learning techniques, including deep learning and neural networks. AI models in the music industry are capable of composing music in a variety of genres, providing musicians and producers with new tools. Generative AI has the potential to stimulate innovation and creativity in a variety of disciplines as technology continues to develop. This research article delves deep into the various aspects of Generative AI namely history and core concepts, privacy and security, types of Generative AI models and their applications, NLP models and finally on Responsible AI.

Related Content

Bikash Kumar, Rhythm Gaba, Rabi Shaw. © 2026. 40 pages.
R. Velmurugan, J. Sudarvel, R. Bhuvaneswari, Ravi Thirumalaisamy. © 2026. 28 pages.
J. Vijaya, Soumya Chandrakar, Pragya Shrivastava. © 2026. 42 pages.
Yamini Ghanghorkar, Amruta Deshpande. © 2026. 28 pages.
B. Bharathi, B. Kalaivani, Kasu Manaswi, Kantabathina Tejaswini. © 2026. 28 pages.
Moumita Chowdhury, Aastha Agarwal, Alisha Parveen, Abhishek Mukhopadhyay. © 2026. 42 pages.
Utkarsh Trivedi, Yash Vardhan, Piyush Kumar, Ansh Aryan, Parth Batra, Hitesh Mohapatra. © 2026. 28 pages.
Body Bottom