Generative Artificial Intelligence

Welcome to the Boatwright Library research guide on generative artificial intelligence! From its origins in the 1950s to its recent explosion in popularity in the 2020s, it's ever more important now to track AI's growth and development. As such, this guide has two major goals:

1. To provide access to resources for students, staff, and faculty on generative AI, with a particular focus on AI literacy, and

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

• Are you a faculty member who wants to consider incorporating generative AI into your research or lesson planning?
  • Check out the "Faculty Resources" tab
  • Additionally, look into the following pages for additional information:
    • The "Guidelines for Generative AI Use at UR" page, with specific sections for faculty, staff, and students, in addition to connections between generative AI use and UR's internal and external data security policies. 
    • The "Considerations and Limitations" page on this guide, for important resources on the structural, ethical, environmental, and privacy 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 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 Generative AI Working Group
  • The Generative AI Working Group was started in January 2024 as a team of people from across the academic and administrative areas of UR to assess the opportunities and challenges posed by generative artificial intelligence (GenAI), particularly as it relates to the University's strategic goals and alignment.
• 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 Liaison Librarians
  • Connect with the liaison librarians listed on the right side of this page for assistance with student-focused AI literacy, and the intersection of generative AI tools and academic research principles.