الأخلاقيات المهنية للبحث العلمي : دراسة تحليلية

Abstract

This study aimed to explore the use of artificial intelligence (AI) in detecting security threats to elections. Specifically, it sought to: assess the effectiveness of AI technologies in the early detection of security threats targeting the integrity of the electoral process; identify the most prominent types of digital threats that AI can monitor and analyze in the electoral context; examine the technical and ethical challenges associated with the use of AI in securing elections; and investigate mechanisms for employing AI in a balanced manner that ensures the security of the electoral process without infringing on privacy or freedom of expression. The researcher adopted the descriptive methodology, as it is well-suited to the objectives of the study. The study arrived at the following findings: - The results indicate that AI technologies possess a high capability for the early detection of security threats to electoral integrity. This is achieved through the analysis of big data and the rapid and accurate identification of suspicious patterns, outperforming traditional methods. - The study revealed that the most prominent types of digital threats that AI can detect include phishing attacks and manipulation of electronic voting results. -The lack of commitment to professional ethics is influenced by several factors: on the individual level, these include lack of ethical training, pressure to publish, and weak professional conscience; while on the institutional level, they include the absence of clear policies, weak oversight mechanisms, and a prevailing academic culture that often prioritizes quantity over quality, and interests over values. -Enhancing commitment to professional ethics requires integrated institutional mechanisms, including the incorporation of research ethics into academic curricula.