The Exploring the Transformative Potential and Challenges of Artificial Intelligence Across Multiple Domains:

A Survey

Authors

  • Irshad Ahmed Lahore Garrison University

Keywords:

Artificial Intelligence; Biases, Robust; Transformation

Abstract

This paper introduced a comprehensive review of the integration and challenge of artificial intelligence (AI) in various sectors, including healthcare, education, business and generative applications. It emphasizes the transformation potential of AI in areas such as optimization of decision making, automation, personalized health care and improvement of operational efficiency. An overview synthesizes findings from multiple studies and focuses on advantages and challenges such as ethical concerns, data privacy, distortion and risks associated with generative AI technologies. Despite the promising progress in the article, it emphasizes that further research needs to be solved by gaps in the quality of data, regulatory frames and social consequences. Recommendations for future work, including the need to develop robust strategies of alleviation, ethical instructions and interdisciplinary cooperation to ensure that AI technology is successfully implemented.

Published

2025-03-01

How to Cite

Irshad Ahmed. (2025). The Exploring the Transformative Potential and Challenges of Artificial Intelligence Across Multiple Domains: : A Survey. Journal of Computing & Biomedical Informatics. Retrieved from https://jcbi.org/index.php/Main/article/view/861

Issue

Section

Articles