Citing Generative Artificial Intelligence (GenAI)

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It is important to provide students with clear directions on how to cite any permitted use of generative AI (genAI) in assessments. Below are examples you can provide to your students on assessment descriptions. Adjust the language to meet your specific goals.

Overall Advisement to Students

You are expected to identify all content produced by generative AI (genAI), even when AI content has been combined with your own ideas or thoughts or has been utilized in the outline or brainstorming process. Add a note (in the introduction or after the references, or as an in-text citation).

Example Expectations

Introduction to the Assignment

  • “This assignment was proofread by Grammarly.”
  • “ChatGPT was used to assist with my initial brainstorming.”
  • “ChatGPT [insert relevant genAI used here] assisted in (e.g., brainstorming, planning, testing, outlining, proofreading) for this assignment.”

In-text Citation

To cite summaries, paraphrases, and the direct integration of genAI generated outputs (including words, images, and code) into the assessment, use the following guidelines from APA 7:

In-text citation: (OpenAI, 2023)

Narrative citation: OpenAI (2023) . . .

Reference: Author. (Year). AI name (Date of access) [Type of AI]. URL.

Example Reference
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

End-Note to Assignment

Include at the bottom of your submission relevant statement(s) such as “This assignment was proofread by Grammarly.” or “ChatGPT [insert relevant genAI used here] assisted in                                                                    (e.g., brainstorming, planning, testing, outlining, proofreading) for this assignment.

Ada Sharpe

Ada Sharpe, Ph.D. (English and Film Studies), has worked in faculty and support staff roles in the post-secondary sector for over a decade. She has taught and researched in literary studies and writing studies and co-led a university writing centre. Ada specializes in understanding how assessment shapes the teaching and learning experience for faculty and students.

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