Generative AI is a type of Artificial Intelligence (AI) that uses machine learning (ML) to produce new content from an extensive training dataset. Some platforms you may have heard of include ChatGPT, Microsoft Copilot, or Google's Gemini. Because it's main purpose is to generate content, it's important to be mindful of whether its application is appropriate for a specific academic setting.
GOOD FOR | NOT GOOD FOR |
Summarizing | Critiquing |
Brainstorming or generating ideas | Judging |
Outlining | Ethical choices |
Shallow analysis | Understanding social interaction |
Using generative AI tools is very tempting for projects that take time, deep thinking, and may require skills you're still developing. If you aren't sure how to get started, using a tool to do the task for you can feel like a win for getting it done. However, be mindful when using generative AI that you're not using it to replace the learning elements of your assignments. If you aren't sure how to find sources, talk to a librarian!
Some issues with generative AI include:
So, you checked the class policy and have found that generative AI is allowed if it's cited. How to cite it is handled differently based on what formatting style guide you're using. Check with the accepted style for your class to see how to handle it based on the style guide you're using for an assignment:
Appropriate formatting is also evolving and you may want to check back frequently!