
The Impact of Artificial Intelligence on Visual and Performing Arts: A Comprehensive Literature Review
Abstract
The subject of Visual & Performing Arts is always involved in activities that generate creative products in the areas of music, visual arts, dance and drama. Further, the aesthetic taste of a human being will judge the quality of a creative product and this judgement is inherently subjective. For this judgement, the aesthetic attributes expected by one person, can be completely different from those expected by another. There are distinct aesthetic attributes for creative products. With the advancement of new technology, Artificial Intelligence (AI) is becoming a revolutionary force across all the fields including the generation of creative products in Visual and Performing Arts. There are different neural network models in AI such as Artificial Neural Network (ANN), Convolutional Neural Networks (CNN), Conditional Generative Adversarial Network (GANs), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) etc. in the form of Machine Learning, Deep Learning approaches which are applied for different smart systems to cater the requirements of the human beings. This research will focus on the impact of the use of AI technology in the areas of music, visual arts, dance and drama highlighting the ethical issues and the need to redefine the concept of creativity. To achieve this objective, the author has reviewed several research papers in this subject area and interdisciplinary areas to explore the idea from a broader perspective. The results of the study show that AI is not only enhancing the artistic behavior of creative products in different dimensions, but also invites us to think about the redefinition of the concepts of creativity, originality, and authorship of an artistic product.
© 2025 W. A. P. Wickramasinghe, published by Faculty of Music, University of the Visual and Performing Arts
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