UNVEILING THE POWER OF GENERATIVE AI: INDUSTRIAL APPLICATIONS AND SOCIETAL IMPLICATIONS

Authors

  • Shujaat Ali Rathore
  • Muhammad Hammad u Salam
  • Dr. Mohd Yaqoob Wani
  • Syed Muhammad Shoaib Rasheed
  • Muhammad Irfan

Keywords:

Artificial Intelligence, Generative AI, Industry 5.0, AI Applications, Deep learning, NLP

Abstract

Generative Artificial Intelligence (AI) is emerging as a transformative force reshaping industries and redefining the boundaries of human creativity. With applications spanning healthcare, education, creative arts, and manufacturing, generative AI is revolutionizing how systems learn, design, and innovate. In healthcare, it enhances diagnostic accuracy, supports personalized treatment planning, and accelerates drug discovery. Within creative domains, it enables new dimensions of digital art, music, and design, blending machine-driven creativity with human expression. In the education sector, generative AI automates content creation and facilitates customized learning experiences, allowing educators to focus on higher-order teaching and mentorship. Similarly, in manufacturing, it drives efficiency through improved product design and optimized supply chain operations. Despite its vast potential, generative AI introduces critical ethical and societal challenges—ranging from data privacy and intellectual property concerns to algorithmic bias and workforce disruption. This paper explores the diverse industrial applications and societal implications of generative AI, highlighting both its transformative opportunities and the pressing need for responsible, ethical governance to ensure sustainable and equitable technological progress.

Downloads

Published

2025-10-07

How to Cite

Shujaat Ali Rathore, Muhammad Hammad u Salam, Dr. Mohd Yaqoob Wani, Syed Muhammad Shoaib Rasheed, & Muhammad Irfan. (2025). UNVEILING THE POWER OF GENERATIVE AI: INDUSTRIAL APPLICATIONS AND SOCIETAL IMPLICATIONS. Policy Research Journal, 3(10), 162–172. Retrieved from https://policyrj.com/index.php/1/article/view/1134