Generative AI for Artistic Creativity: Exploring the Intersection of Computer Science, Psychology, and Fine Arts

Authors

  • A. Lakshmi Research Scholar Jawaharlal Nehru Technological University,Hyderabad lakshmi_sk11@yahoo.co.in Orcid id :0000-0002-8165-3630
  • Abdul Rasheed P Assistant Professor English EMEA College of Arts and Science, Kondotty Malappuram Kondotty Kerala
  • Sulakshana R K Assistant Professor Department of Computer Applications Dayananda Sagar Business Academy Bangalore Bangalore Karnataka
  • Rajagopal, K Professor Marketing Symbiosis Centre for Management & Human Resource Development (SCMHRD) Pune Maharashtra
  • Vaishali Mahajan Associate Professor Marketing Symbiosis Centre for Management & Human Resource Development (SCMHRD), Symbiosis International (Deemed) University, India Pune Maharashtra
  • Dr. C.Vijai Associate Professor School of Commerce Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Chennai Tamil Nadu

DOI:

https://doi.org/10.63278/mme.vi.1603

Keywords:

Generative AI, Creative Algorithms, Architecture, Visual Arts, Music Composition.

Abstract

The purpose of this study is to understand how this powerful technology of generative AI, computer science psychology, and fine arts works in the context of creative work. This paper focuses on exploring the application of AI techniques in enhancing creativity in several fields such as architecture, arts, music, and design. Using four generative AI techniques, namely, VAE, GANs, RNNs, and Transformer models, it is possible to develop generating brand-new creative work, as this study proves. The performance of each algorithm was evaluated through experiments, yielding the following results: VAE had a creativity of 89%, GAN diagram depicted that image generation was 91% accurate, RNN had a success rate of 92% for music composition and finally transformer model marked 95% efficiency in architectural design. Thus, the idea that the establishment of AI as an artist depicts both the capability of AI systems to work with the human mind to amplifying its creativity, as well as creates considerations of originality with emphasis on who should be considered the author. According to this research, it is found that generative AI can significantly enhance creative industries as it opens new avenues for artists. However, the various canvases about its legal and ethical perspective are still being debated as AI draws progress.

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How to Cite

Lakshmi, A., Abdul Rasheed P, Sulakshana R K, Rajagopal, K, Vaishali Mahajan, and Dr. C.Vijai. 2025. “Generative AI for Artistic Creativity: Exploring the Intersection of Computer Science, Psychology, and Fine Arts”. Metallurgical and Materials Engineering, May, 482-92. https://doi.org/10.63278/mme.vi.1603.

Issue

Vol. 31 No. 5 (2025)

Section

Research

License

Copyright (c) 2025 A. Lakshmi, Abdul Rasheed P, Sulakshana R K, Rajagopal, K, Vaishali Mahajan, Dr. C.Vijai

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