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Generative AI: Transforming the Landscape of Creativity and Automation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 63 |
| Year of Publication: 2025 |
| Authors: Gokul Pandy, Vigneshwaran Jagadeesan Pugazhenthi, Aravindhan Murugan |
10.5120/ijca2025924392
|
Gokul Pandy, Vigneshwaran Jagadeesan Pugazhenthi, Aravindhan Murugan . Generative AI: Transforming the Landscape of Creativity and Automation. International Journal of Computer Applications. 186, 63 ( Jan 2025), 7-13. DOI=10.5120/ijca2025924392
Abstract
Generative AI represents a transformative paradigm in artificial intelligence, enabling machines to autonomously create text, images, music, and other forms of content with remarkable fidelity. Unlike traditional AI systems designed to analyze or predict, generative AI systems focus on the synthesis of novel data that mimics human creativity. This technology is powered by advanced deep learning architectures such as Generative Adversarial Networks (GANs), transformers, and diffusion models. Applications of generative AI extend across numerous industries, including entertainment, healthcare, education, and finance, where it is redefining workflows and enhancing productivity. Furthermore, generative AI has the potential to address complex challenges in fields like drug discovery and personalized education. However, alongside its promises, it also raises significant ethical and societal concerns, such as bias, misinformation, and intellectual property disputes. This manuscript delves into the foundational principles of generative AI, its leading models, its profound applications, and the associated ethical and technical challenges. Through detailed diagrams and tables, this work aims to provide a comprehensive overview of generative AI and its transformative potential for the future.
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