The Role of Generative AI in Scientific Research: Opportunities, Ethical Considerations, and Future Prospects

DOI: https://doie.org/10.10399/JBSE.2025398738

Hirenkumar Mistry, Chirag Mavani, Deval Parikh, Sarangkumar Radadia , Meet Patel, Jimit Patel

Keywords:

Generative AI, Scientific Research, Ethical Considerations, Transparency, Accountability

Abstract:

Generative Artificial Intelligence (GAI) has emerged as a transformative force in scientific research, offering unprecedented capabilities for data analysis, hypothesis generation, and research synthesis. This paper explores the role of GAI in scientific inquiry, highlighting its potential to revolutionize the speed and scope of discovery. Through a detailed examination of both short-term and long-term applications, the paper addresses the significant ethical concerns associated with AI in research, including transparency, bias, accountability, and reproducibility. It proposes a comprehensive framework for the responsible integration of GAI in scientific research, emphasizing the need for transparency, ethical oversight, and interdisciplinary collaboration to mitigate the risks and maximize the benefits of AI technologies. As GAI continues to evolve, its ability to not only automate technical tasks but also contribute to the creative aspects of research promises to redefine the landscape of scientific discovery.

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