2025, Vol. 6, Issue 2, Part A
The evolving landscape of generative AI: Architectures, Applications, and ethical governance in 2024-2025
Author(s): Krishna Karoo
Abstract: Generative Artificial Intelligence (AI) has undergone a profound evolution, transitioning from a niche research area to a pervasive technology with significant societal and economic impact. This paper provides a comprehensive review of the latest advancements in generative AI architectures and methodologies from 2024 to mid-2025, highlighting the shift towards more sophisticated multimodal and agentic AI systems. We analyze the burgeoning applications of generative AI across diverse sectors, including content creation, healthcare, and software development, while critically examining the complex ethical challenges such as bias, misinformation, intellectual property, and data privacy. Furthermore, we discuss the societal implications, particularly concerning labor market shifts and the imperative for robust regulatory frameworks. Drawing on recent trends and legislative developments like the EU AI Act, this paper proposes a framework for responsible development and deployment, aiming to maximize the benefits of generative AI while mitigating its inherent risks.
DOI: 10.33545/27075923.2025.v6.i2a.96Pages: 07-10 | Views: 558 | Downloads: 477Download Full Article: Click Here
How to cite this article:
Krishna Karoo.
The evolving landscape of generative AI: Architectures, Applications, and ethical governance in 2024-2025. Int J Circuit Comput Networking 2025;6(2):07-10. DOI:
10.33545/27075923.2025.v6.i2a.96