AI in Scholarship
Howto Integrate Generative AI into Your Research and Scholarship
As generative AI is being increasingly integrated into scholarly work, including graduate
theses and doctoral dissertations, and journal articles, the following guidance can
help faculty and graduate students with ethical and responsible use of AI in their
scholarly work.
To maintain the highest standards of academic quality and research integrity, graduate students and faculty advisors should make every attempt to practice full transparency. In achieving transparency, graduate students should declare how they plan to use generative AI to their faculty advisors to get approval for this use. Following good practices for other scholarly writing and disciplinary norms, students should cite when and describe how generative AI tools were used so that audiences of their writing can distinguish between the contributions of the writer and the generative AI tool. This, for example, may include citing and describing use of generative AI tools in searching, designing, outlining, drafting, writing, or editing the thesis, or in producing audio or visual content for the thesis, and may include other uses of generative AI.
Note that departments and colleges may have different or additional specific requirements or restrictions on the use of generative AI during the phases of the research and writing cycle that correspond to their research methods and analytical processes. This could include, for example, guidance on use in writing text, conducting analytical work, reporting results (e.g., tables or figures) or writing computer code. To adhere to potential additional departmental requirements, check with your advisor and/or committee.