Axiology of Scientific Research in the Artificial Intelligence Era

Interest in scientific research ethics represents one of the most important contemporary global trends, for which calls have grown more than ever due to the ethical consequences resulting from the misuse of AI tools on the one hand, and the gap between technological development and the axiology of scientific research on the other. In light of this, this descriptive and analytical study aimed to: investigate the ethical implications of using AI in scientific research; analyze international and Arab documents that highlight efforts and experiences in the field of axiology of scientific research in the AI era; conduct a systematic review of relevant research literature; and propose an ethical framework for scientific research in the AI era. The findings revealed growing ethical risks arising from the use of AI in scientific research, most notably technological bias, plagiarism, hallucinations, falsification of results, lack of intellectual originality, violation of intellectual property rights, lack of credibility of research work, undermining academic integrity, and threats to data privacy and security. In light of these ethical challenges, the Arab and international documents, reports, and research literature, aiming to ensure the responsible and safe use of AI tools in scientific research, were reviewed and analyzed. The study proposed an ethical framework for scientific research, based on several ethical standards and indicators specific to the practices of both scientific researchers and scientific research supervisory and evaluation bodies. Eleven academic experts reviewed this proposed ethical framework, approving its implementation with a very high percentages; ranging from (90.91%) to (100%).