The rapid development of Generative AI, particularly Generative
Adversarial Networks (GANs), has revolutionized the creative
industries, including music and art generation. Artists and musicians
are increasingly integrating AI to co-create novel compositions and
artworks, expanding creative boundaries and fostering innovative
forms of artistic expression. Despite the promising potential, the
adoption of AI in these fields raises concerns regarding creativity,
authorship, and the preservation of artistic authenticity. This study
explores the application of GANs for music and art generation,
focusing on the collaborative potential of Human-AI co-creation. The
primary problem lies in the challenge of maintaining creative
autonomy while using AI as a tool, as well as addressing concerns
about the originality of AI-generated content. In this study, GANs are
used to generate music and visual art, with a focus on the generative
process in combination with human input. We employ a hybrid model
that allows artists and musicians to interact with AI systems, offering
feedback and curating results to guide the output. The method
incorporates feedback loops where human selections influence the
direction of the generation process, ensuring that the final product
aligns with human aesthetic preferences and intentions. The results
indicate that human-AI collaboration leads to a richer and more
diverse output compared to fully AI-driven generation. For example, in
music generation, the hybrid model produced compositions with 89%
user satisfaction in terms of creativity and relevance. Similarly, in art
generation, 85% of participants reported that AI-generated pieces
inspired new artistic ideas, showcasing the effectiveness of AI-human
synergy in creative fields. The findings highlight the importance of co-
creation in ensuring AI-generated content is meaningful and
artistically valuable.
L. Godlin Atlas1, C. Mageshkumar2, K.V. Shiny3, D. Bhavana4, V. Madhumitha5
Bharath Institute of Higher Education and Research, India1,3,4,5, Acharya University, Uzbekistan2
Generative AI, GANs, Music Generation, Art Generation, Human-AI Collaboration
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 15 , Issue: 3 , Pages: 3653 - 3661 )
Date of Publication :
January 2025
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