Saudi Postgraduate Students` Ethical Commitment between Awareness and Application of Artificial Intelligence in Scientific Writing

Authors

  • Ahmed Zakaria Hegazy
  • Sherif Adel Gaber
  • Ibrahim Abdullah Alkhateeb
  • Mohammed Ahmed Alqatam
  • Sultan Mubarak Almughyirah
  • Yassir Mohammed Mahgoub
  • Hussein Ahmed Shahat

Keywords:

rtificial intelligence; scientific writing; ethical commitment; postgraduate students; King Faisal University

Abstract

This research explores the extent of ethical awareness among postgraduate students and their commitment to ethical standards when using artificial intelligence (AI) techniques in scientific writing (SW). It identifies gaps between what students know about ethics and how they apply this knowledge in their SW, specifically in content generation, analysis, and data handling. The study also evaluates the implications of postgraduate students’ increasing use of AI for academic integrity and the verification of sources, focusing on developing effective strategies and measures to ensure ethical compliance. The study participants comprised 68 male and female students from the College of Education at King Faisal University, Saudi Arabia. A descriptive survey research design was used: researchers developed a questionnaire to determine postgraduate students’ level of moral commitment between awareness and the application of AI in their dissertations, theses, and research projects. Results indicated that this commitment is moderate. There were no statistically significant differences between the participants` scores due to age, gender, seniority at university, study type, study state, or subject specialization. The study recommends establishing and implementing intensive awareness training programmes for postgraduate students focused on the importance of ethics in using AI in accordance with academic integrity standards. The study also suggests that institutions review and update academic policies to ensure clear ethical principles regarding the use of AI in SW are included.

 

https://doi.org/10.26803/ijlter.23.10.28

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Published

2024-10-30

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