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AI is now a cooperative participant in the production of art rather than just a tool for improving artistic processes in the creative industries. The idea of co-creation and the ways AI supports artistic expression are the main topics of this study, which examines the relationship between human creativity and AI. Digital art, literature, music, and paintings have all been created using AI technologies like generative adversarial networks (GANs) and deep learning, frequently in conjunction with human artists. The study looks at how AI questions conventional ideas of authorship, originality, and innovation in art. It examines if AI is genuinely a co-creator or only a tool that enhances human creativity. There is also discussion of the ethical issues around who owns AI-generated art and how AI shapes cultural narratives. This study also looks into how AI affects the creative process and how human artists can use AI to improve their work without sacrificing their ability to express themselves. In the end, the study highlights how AI has the ability to revolutionize the arts and usher in a new era of creative cooperation and invention.
Keywords:
Deep Learning, AI, Generative Adversarial Networks
Cite Article:
"Human-AI Collaboration in Creative Arts: Exploring Co-Creation and Artistic Expression ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b351-b354, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506143.pdf
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000213
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator