APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN SCIENTIFIC RESEARCH
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Abstract
In recent years, Artificial Intelligence (AI) has rapidly entered the scientific world and become an integral part of the research process: from formulating questions, reviewing literature, designing studies, and detecting bias, to writing data analysis code, creating charts, and drafting or editing scientific manuscripts. In other words, AI is transitioning from a “supplementary tool” to a “research assistant”. In this paper, the researcher discusses the applications of AI in scientific research from a practical perspective. The first part defines AI and Large Language Models. The subsequent sections present how to utilize AI in formulating research questions, constructing hypotheses, selecting study designs, identifying bias and confounding factors, analyzing data, and writing scientific papers.
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References
- McCarthy J (2007). What is artificial intelligence. https://www-formal.stanford.edu/jmc/whati-
- sai.pdf
- Samuel A (1959). Some Studies in Machine Learning Using the Game of Checkers. IBM Journal of Research and Development. 3 (3): 210–229. DOI: https://doi.org/10.1147/rd.33.0210
- LeCun Y, Bengio Y, Hinton G (2015). Deep Learning. Nature 521: 436-44. DOI: https://doi.org/10.1038/nature14539
- Douglas MR (2023). Large language models. https://arxiv.org/pdf/2307.05782
- Lee H P H, Sarkar A, Tankelevitch L, Drosos I, Rintel S, Banks R, Wilson N (2025). The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers. CHI. https://doi.org/10.1145/3706598.3713778 DOI: https://doi.org/10.1145/3706598.3713778
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