The role of artificial intelligence in scientific research

Productivity and ethics

Bibliographic Data

ID22430597
AuthorsAbdelsalam Fahad AL-Awamrah (0000-0002-8827-1723, University of Jordan), Baker Mohammad Bani-Khair (0000-0002-0738-7696, Hashemite University), Suzie Yaseen Rababa''H (0000-0002-4163-2675, Jadara University), L M Rababah (Jadara University), Luqman Rababah (0000-0002-3871-3853, Jadara University), Z M Miqdadi (0009-0009-4717-8766, Middle East University), Feras Ali Mohammad Al-Habies (0000-0002-7480-6934, University of Jordan), Mahmoud Ali Rababah (0000-0002-0930-4030, Al-Balqa Applied University), I M Rababah (Al-Balqa Applied University)
Year2026
Volume28
Issue4
Pages61-93
Publication date2026-04-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Education and science journal (JOURNAL)
Journal identifiersISSN: 1994-5639 • E-ISSN: 2310-5828
PublisherRussian State Vocational Pedagogical University (PUBLISHER • RU)
DOI10.17853/1994-5639-2026-4-61-93
OpenAlexW7148875952
LanguageEN
References cited69

Introduction . The widespread adoption of artificial intelligence (AI) models for automatic content creation highlights the need to develop appropriate approaches to address the ethical issues associated with this technology and to minimise the risks of its misuse. Aim . The aim of this study is to quantify and analyse the extent to which AI tools are implemented in research activities, as well as to assess their impact on research performance, with consideration of ethical aspects. Methodology and research methods . A descriptive correlational method was employed in this study. Empirical data were collected using a random sample of undergraduates from the University of Jordan (n = 511). Results . A statistically significant positive relationship was identified between the use of AI in research, the outcomes produced, and adherence to research ethics. It was found that artificial intelligence has a significant positive impact on enhancing the quality of scientific research. The key components of scientific ethics – fairness, confidentiality, and responsibility – are analysed, and their role in interactions with AI systems is examined. Scientific novelty . The study offers new insights into the direct and indirect effects of artificial intelligence on scientific research outcomes. Practical significance . The results of the study can be utilised in the development and formalisation of ethical standards for managing the application of AI in science, aiming to adapt to evolving academic practices and enhance the quality of research.

Applications of artificial intelligence · Ethical issues · Productivity · Research ethics · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI

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