GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 1
Generative AI Innovations Related to AI-Generated Art, Music, Images, Virtual Influencers, Ethical Issues
Authors
A. Richard William, Indra.S, M. PriyaDharshini
Abstract
This paper explores the transformative impact of generative AI within the broader field of artificial intelligence, highlighting its ability to produce original content such as music, art, images, and virtual influencers. It reviews recent advancements in generative AI techniques, including diffusion models and sophisticated generative adversarial networks (GANs), which significantly enhance the quality and creativity of generated outputs. The study examines diverse applications across creative domains, emphasizing generative AI's potential to democratize content creation and unlock new forms of digital expression. Additionally, it addresses key ethical challenges, including bias, copyright concerns, and social implications. While advancing the frontiers of realistic generation and interactive virtual personas, the paper underscores the importance of responsible AI development to ensure transparency, fairness, and respect for intellectual property rights.
Pages:
545 - 551