Scientific research is the most significant engine of knowledge development. It stands as a powerful drive that shapes societies and civilizations. Research relies on collecting, analyzing, and interpreting data using scientific approaches aiming at testing hypotheses and confirming their reliability and relevance. Hence; mastering these processes is a daunting challenge to address, regarding both the scientific issues and the required specific techniques and tools.

Dramatic advances in artificial intelligence (AI) offer opportunities to improve researchers’ performance. AI models can trigger a profound revolution in scientific research processes, whose fundamental foundations have remained unchanged for centuries. Researchers seeking to use AI systems to overcome their cognitive ability limitations, should acquire new skills such as database preparation and algorithms among many others. It is, therefore, possible that a divide may emerge between researchers who are more familiar with AI and those who are not, with the former having privileges in terms of access to databases and analytical methods.