Generative AI: Faculty Resources

The purpose of this guide is to provide RSC faculty with resources that will advance understanding of generative artificial intelligence and support its ethical use in teaching and learning. The RSC Ad Hoc Committee on Generative AI will update this guide periodically with links to new research and resources on this rapidly evolving topic.

Last updated: 3-6-25

The term "AI" refers to the ability of machines and computers to perform tasks that would normally require human intelligence. "Generative AI" is a step forward in the development phase. Instead of just reacting to data input, the system takes in data and then uses predictive algorithms (a set of step-by-step instructions) to create original content.

For introductory information on generative AI:

• The AI Pedagogy Project from Harvard University: Focused on the essentials, this interactive guide will give you the background you need to feel more confident with engaging in conversations about AI in your classroom.
  • Includes a Large Language Model Tutorial for practice using OpenAI's GPT-4
• "What is Generative AI?" course by LinkedIn Learning: A generative AI expert covers the basics of generative AI
• Artificial Intelligence, Explained, from Carnegie Mellon University: Accessible introduction to AI
• Master the Perfect ChatGPT Prompt Formula (8 minute video)

Adapted from Carnegie Mellon University, Heinz College Artificial Intelligence, Explained