ChatGPT was only released a couple of years ago (2022). We are still in very early days and what is outlined on this page is rapidly changing.
Generative AI has downsides, here are some things to consider when using tools:
This graph lays out harm considerations of large language models.
Here's where generative AI can be helpful in the research process and some of the products currently available.
AI can be helpful for brainstorming and developing your topic or question.
Just as searching Google and sources like your textbooks and Wikipedia can help you find background information on and keywords for your topic, generative AI can help with keywords. For example, asking ChatGPT "What are some other terms to describe teenage vaping?"
Content in this entire box adapted from: Brown University Library, "Generative Artificial Intelligence"
Format: Author. (Date). Name of tool (Version of tool) [Large language model]. URL
Example: OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
In-Text Citation Example: (OpenAI, 2023)
Format: "Description of chat" prompt. Name of AI tool, version of AI tool, Company, Date of chat, URL.
Example: "Examples of harm reduction initiatives" prompt. ChatGPT, 23 Mar. version, OpenAI, 4 Mar. 2023, chat.openai.com/chat.
In-Text Citation Example: ("Examples of harm reduction")
Format: 1. Author, Title, Publisher, Date, url for the tool.
Example (if information about the prompt has been included within the text of your paper): 1. Text generated by ChatGPT, OpenAI, March 7, 2023, https://chat.openai.com/chat.
Example (including information about the prompt): 1. ChatGPT, response to "Explain how to make pizza dough from common household ingredients," OpenAI, March 7, 2023, https://chat.openai.com/chat.