See this example properly formatted in the QUT Cite tool.
Generative AI (GenAI) tools like ChatGPT and Dall-E generate text or images in response to parameters entered by the user. See Using generative AI for more information.
You must verify that you are allowed to use generative AI before using it in your assessment, and you must acknowledge its use.
It is highly likely your unit will require you to describe how you used the tool or provide the prompts and results within the text or an appendix.
For assistance see Acknowledging generative AI in your assessments (page 4: Documenting prompts and outputs).
| Footnote Template - Authored by a Creator | Subsequent References Templates |
|---|---|
| Output from Program, Creator to Recipient, Full Date, Pinpoint ('Short Title'). | Short Title (n Footnote Number) Pinpoint. |
| Output from ChatGPT, Open AI to John Smith, 23 February 2023 ('Output from ChatGPT'). | Output from ChatGPT (n 208). |
| Output from ChatGPT, Open AI to John Smith, 23 February 2023, para 2 ('One punch laws in Queensland Output'). The output was generated in response to the prompt, 'Provide an overview of one punch laws in Queensland': see below Appendix A. | One punch laws in Queensland Output (n 3) para 2. |
| Output from Copilot, Microsoft to John Smith, 22 July 2024 ('Output from Copilot'). | Output from Copilot (n 41). |
| Output from Copilot, Microsoft to John Smith, 22 July 2024, para 5 The output was generated in response to the prompt, 'Create a summary of laws made to reduce the impact of climate change': see below Appendix A. | Laws to reduce the impact of climate change Output (n 41) para 5. |
Open AI, Output from ChatGPT to John Smith, 23 February 2023
Microsoft, Output from Copilot to John Smith, 22 July 2024
This is based on interim guidance from the Editors of AGLC4.
See AGLC4 Rule 7.12 for Written Correspondence.
Discursive text may be used in the footnote to provide information about the prompts used to generate the output in accordance with AGLC4 Rule 1.1.5.
An appendix may be used in order to provide comprehensive information about the series of prompts and outputs used to generate the output.