Work

Chemistry, Generative AI, and English: implications for chemistry researchers from diverse language backgrounds

Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Background, context, purpose: English is essential in global science but poses challenges for researchers who speak it as an additional language (Eng+). We investigated how chemistry researchers’ language backgrounds shape their experiences and the impact(s) of digital tools, including generative artificial intelligence (GenAI). We administered a questionnaire to chemistry researchers having English-as-a-first (Eng1st) or English-as-an-additional (Eng+) language. Results, main findings: Both groups indicated that English proficiency is crucial for productivity, though Eng+ participants reported more difficulties. Eng+ participants viewed digital tools as more helpful, including GenAI, and primarily used for writing support. However, concerns about GenAI’s accuracy, ethics, and plagiarism risks were common. Some Eng+ researchers avoided over-relying on GenAI, preferring to improve their English skills. Few used GenAI beyond summaries and rephrasing/translation. Conclusions: This work is the first to identify how emerging technologies like GenAI are perceived and used by researchers from different language backgrounds, highlighting the potential to enhance equity and productivity for Eng+ scientists.
Source: ChemRxiv
Language: English
Open Access status: green
OpenAlex ID: W7215068013
Cites: 25
Cited by:
Related to: 10