Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age
Abstract
Generative Artificial Intelligence (GAI) is a subfield of AI that focuses on creating models capable of generating novel content, from text and images to music and videos. As advancements in machine learning, particularly deep learning, have led to the rise of sophisticated models such as generative adversarial networks (GANs) and transformer-based models, GAI has demonstrated immense potential across various domains. This paper explores the concept of GAI, its applications, underlying technologies, ethical implications, and future prospects. By examining both the benefits and challenges associated with its integration into industries such as entertainment, healthcare, design, and education, this paper aims to provide a comprehensive overview of GAI's transformative impact on creativity and innovation.
Citations
IRE Journals:
Dr. Abhishek Raghuvanshi
"Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 141-154
IEEE:
Dr. Abhishek Raghuvanshi
"Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age" Iconic Research And Engineering Journals, 8(9)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12