The role of generative artificial intelligence (GAI) in scientific research
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2024.3.08Keywords:
Generative Artificial Intelligence, hypothesis analysis and testing, searching scientific data sources, research planning, writing and editing scientific manuscripts, organizing and presenting resultsAbstract
The emergence and growing capabilities of Generative Artificial Intelligence (GAI) are profoundly transforming scientific research. Although AI extends human intelligence by automating certain tasks, it complements rather than replaces human creativity. This article discusses the implications of AI for the scientific process, including ethical considerations and the need for a balanced approach that combines the strengths of human and artificial intelligence in the process of discovering knowledge and solving complex problems. The discussion extends to the need for universities to adapt their curricula to prepare future researchers for the AI era, emphasizing scenario-based thinking and uncertainty management as important skills for the future.
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