The integration of generative artificial intelligence (AI) and large language models (LLMs) in academia brings benefits for access and collaboration as well as challenges that include misinformation and threats to academic integrity. We examine 80 academic guidelines and recommend balanced approaches for the responsible integration of generative AI and LLMs in education.
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Acknowledgements
This research is funded by the National Science Foundation (NSF) under grant number 2125858. The authors express their gratitude for the NSF’s support, which made this study possible. Furthermore, in accordance with MLA (Modern Language Association) guidelines, we note the use of OpenAI’s applications for assistance in editing and brainstorming.
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J.J. and S.A. conceived and developed the main idea, contributed to the conceptualization and methodology, and conducted both qualitative and quantitative analyses. K.C., D.A. and A.D. contributed to the methodology and carried out qualitative and quantitative analyses.
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Jiao, J., Afroogh, S., Chen, K. et al. The global landscape of academic guidelines for generative AI and LLMs. Nat Hum Behav 9, 638–642 (2025). https://doi.org/10.1038/s41562-025-02124-6
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DOI: https://doi.org/10.1038/s41562-025-02124-6
