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Generative AI and academic scientists in US universities: Perception, experience, and adoption intentions.
Wenceslao Arroyo-Machado1, Jinghuan Ma1, Tipeng Chen1
1Center for Science, Technology and Environmental Policy Studies, School of Public Affairs, Arizona State University, Phoenix, Arizona, United States of America.
Plos One
|August 28, 2025
Summary
Academic scientists are cautiously adopting generative Artificial Intelligence (AI) in STEM fields. Most use AI for teaching and research, with high intent to continue, despite concerns about misinformation.
Area of Science:
- STEM Education
- Scientific Research
Background:
- Generative Artificial Intelligence (AI) integration into academia is a growing area of interest.
- Academic scientists' early adoption and perceptions of AI in teaching and research are crucial for understanding its impact.
Purpose of the Study:
- To explore the adoption rates and perceptions of generative AI among US academic scientists in STEM fields.
- To identify how AI is being used in teaching and research and to gauge scientists' intentions for future use.
Main Methods:
- A nationally representative survey of 232 academic scientists in STEM fields.
- Analysis of attitudes, experiences, and intentions regarding generative AI adoption.
Main Results:
- 65% of surveyed scientists have used generative AI in teaching or research; 20% use it in both.
- AI is primarily used for developing pedagogical materials (51%) and for writing/editing research (40%).
- 84% of current AI users intend to continue using it, indicating perceived benefits despite a top concern of misinformation (78%).
Conclusions:
- Academic scientists demonstrate a cautious yet optimistic adoption of generative AI in their work.
- There is strong support for academic-led AI regulation to ensure responsible use and mitigate risks.
- Generative AI is already integrated into academic activities, highlighting its perceived potential and the need for governance.
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