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1707349PublishedVol 8 · Issue 9

Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age

Dr. Abhishek Raghuvanshi

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

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.

How to cite this paper

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
Dr. Abhishek Raghuvanshi "Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age" Iconic Research And Engineering Journals, vol. 8, no. 9, Mar. 2025
Dr. Abhishek Raghuvanshi (2025). Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age. Iconic Research And Engineering Journals, 8(9).
Dr. Abhishek Raghuvanshi "Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age" Iconic Research And Engineering Journals, vol. 8, no. 9, Mar. 2025.
@article{1707349,
      author = {Dr. Abhishek Raghuvanshi},
      title = {Generative Artificial Intelligence: Transforming Creativity and Innovation in the Digital Age},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {9},
      pages = {141-154},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707349.pdf},
      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.},
      month = {March},
  }