Using Generative AI in Research: Key Takeaways

Before using Generative AI for a research paper or class project, check with your professor if they allow the use of Generative AI for their course and any restrictions that may apply.

Many Generative AI Tools have limitations:

• They are trained on data with cut off dates meaning the data they use may be outdated
• Many are not connected to the internet and cannot update or verify content they create.

Large language models (LLMs) are prone to "hallucinations" generating fictitious information, presented as factual or accurate. This can include citations, publications, biographical information, and other information commonly used in research and academic papers.

Generative AI models often include biases from the data they are trained on. A few examples of biases that have been identified include a tendency to use American/western perspectives in the responses & amplifying societal stereotypes.

If you use any kind of Generative AI for your paper or class project, make sure to properly cite and acknowledge the content created by AI.

USC Libraries and other departments across campus provide information for students, researchers, and instructors to stay informed about the use of Generative AI in academia.