Generative Artificial Intelligence

Welcome to the Boatwright Library LibGuide on generative artificial intelligence! From its origins in the 1950s to the recent explosion in popularity in the 2020s, artificial intelligence is an ever-evolving topic that may seem impossible to wrap one's head around. As such, this guide has two major goals:

1. To provide access to resources for students, staff, and faculty on generative AI and its influence on academics, teaching, and the world,

2. To act as a living document that will be updated as new information and tools become available.

Is this your first time using, or investigating, generative AI?
- Check out the "Defining Generative AI" tab
- Consider watching a few videos from the "What Is Generative AI?" course, provided by LinkedIn Learning
Want to see what other generative AI platforms are available beyond ChatGPT?
- Check out the "Tools" tab
Thinking of incorporating generative AI into your research or writing?
- Before actually putting those tools to use - please read through the "Considerations and Limitations" page for important resources on the structural, ethical, and privacy-based challenges of using generative AI tools
Want to learn how to cite generative AI?
- Go to the "Citing AI" page in UR's Citing Sources Guide.

UR AI Experts
- Page with information on UR community members with expertise in specific aspects of AI, including data science, K-12 education, scientific research, privacy, and more.
UR Faculty Hub
- Regularly host trainings and presentations on Generative AI for faculty and staff, and can assist in integrating generative AI tools into courses and assignments. The link above leads to the full events list in the Faculty Hub. For additional information on what the Hub can do regarding AI, please contact Dr. Andrew Bell (abell4@richmond.edu).
UR Liaison Librarians
- Connect with the liaison librarians listed on the right-side of this webpage for assistance with the intersection of generative AI tools and academic research principles.