Creativity and Innovation with Artificial General Intelligence: Designing Systems that Generate Novel Ideas

DOI

10.2991/978-94-6463-872-1_44How to use a DOI?

Keywords

Creativity; Generative Adversarial Networks; EfficientNetB3; Idea Generation; AI-Driven Innovation; Artificial Intelligence; AGI

Abstract

The combination of creativity and innovation is something that has always seemed to be stamped exclusively for humans — until recently, with the advances in Artificial General Intelligence (AGI). In this paper, a novel hybrid AI model involving combining Generative Adversarial Networks (GANs) and Efficient- NetB3 for increasing machine-driven creativity is presented. The model generates diverse artistic samples using GAN-based data augmentation, and can still per- form accurate classification of artistic styles using EfficientNetB3. The approach was trained on the WikiArt dataset of 80,020 painted digitizations over 27 artistic styles. The performance of the hybrid model is experimentally shown to achieve a classification accuracy of 92.85% and exceeds the performance of existing AI- driven creative systems. The work presented in this research suggests that AI may be used to generate original artistic ideas, and it is joined by the larger discursive project surrounding AGI and creativity. Future work includes applying machine-generated creativity to other domains such as music, literature, and design, as well as assessing the novelty of machine-generated creativity.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nikhil Kassetty
AU  - Srinivas Chippagiri
AU  - Karan Alang
AU  - Lakshman Kumar Jamili
AU  - Nuzhat Noor Islam Prova
PY  - 2025
DA  - 2025/11/04
TI  - Creativity and Innovation with Artificial General Intelligence: Designing Systems that Generate Novel Ideas
BT  - Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025)
PB  - Atlantis Press
SP  - 695
EP  - 711
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-872-1_44
DO  - 10.2991/978-94-6463-872-1_44
ID  - Kassetty2025
ER  -