Impact of Artificial Intelligence on Creative Art

Author

Dr. Praveena Devi and Kamineni Kovida

Abstract

 AI and creatively-led work (broadly: generative systems that generate images, text, music, and video) have the potential to transform the way we conceive of, make, modify, and publish creative work. This paper researches the impact of AI on creative art through a systematic review of research and policy literature. It explores the potential for experimentation and greater access and the potential risks to creative agency, style, labour, cultural diversity, training data, attribution, and copyright. The weight of existing peer-reviewed research and policy literature does not point to a simple driver of "replacing" or "empowering" human creativity. Experimentally, AI systems can both improve the quality or speed of isolated outputs but also reduce the diversity across outputs, and the role of system design influences whether individuals can be recognized as partners or merely as mere editors. Research on poetry and short-form writing cannot necessarily be generalized to visual arts, music, or professional creative practice. The paper finds that creative AI is most beneficial when artists can maintain meaningful control over final works, make autonomous updates or rejections, and receive clear information about data and rights. This is a research review, with no survey or experiment conducted.

Keywords

AI, Creative Art, Generative AI, Human-AI Co-Creation, Creativity, Copyright, Artists, Cultural Diversity.

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References

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