The role of artificial intelligence in scientific research: productivity and ethics

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.

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