Responsible Utilisation of AI in Academic Research Strategies for Preserving Scientific Integrity and Quality

Authors

  • Iman Osman Mukhtar Ahmed
  • Farida Tadjine
  • Aisha Hassan Abdalla Hashim

DOI:

https://doi.org/10.58915/jere.v18.2026.3021

Keywords:

AI responsible use, Research Integrity, Research Quality, Ethical Practice, Prompt Engineering

Abstract

This article aims to investigate the impact of artificial intelligence (AI) tools on scientific research and their effect on its integrity and quality. It also aims to determine the most effective strategies for promoting the responsible utilization of AI tools in scientific research. To achieve these objectives, a qualitative exploratory design was employed to provide a comprehensive description and explanation of the practices and challenges faced by researchers and scientists. Data were collected using relevant literature reviews, and thematic analysis was used to achieve the research objectives. The findings indicate that while AI is effective and capable of improving the efficiency and quality of academic research, its misuse poses risks to research integrity and quality. Among the terribly significant dilemmas are over-reliance on AI and the fabrication and falsification of information. Therefore, universities need to establish clear guidelines to ensure the responsible use of AI, promote a culture of integrity in scientific research, and train researchers in AI ethics. Develop more specialized AI tools tailored to research and contexts. Prompt engineering is fundamental for researchers to achieve accuracy and obtain reliable results for their research. Finally, AI tools cannot replace humans in the field of research, but they can help produce high-quality research.

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Published

2026-03-17

How to Cite

Iman Osman Mukhtar Ahmed, Farida Tadjine, & Aisha Hassan Abdalla Hashim. (2026). Responsible Utilisation of AI in Academic Research Strategies for Preserving Scientific Integrity and Quality. Journal of Engineering Research and Education (JERE), 18, 217–227. https://doi.org/10.58915/jere.v18.2026.3021

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