Generative AI (GAI)

Below is an overview and resources Generative AI (GAI) to be shared with students. This section was created by using the following resources:

Stearns Center Website: https://stearnscenter.gmu.edu/knowledge-center/ai-text-generators/ (including Dr. Lance Eaton's evolving crowd-sourced collection of sample policies)

Inside Higher Ed: https://www.insidehighered.com/news/2023/01/12/academic-experts-offer-advice-chatgpt

https://www.theatlantic.com/technology/archive/2022/12/openai-chatgpt-chatbot-messages/672411/

Recommended Reading for Faculty as Primer for AI Discussions

Sample Lesson Plan: As a primer for your AI discussion with students, we recommend the following document for you if you are not familiar with the topic. It highlights both the capabilities and the shortcomings of AI .

Introduction to Generative AI (GAI): What is Generative AI and how does it work?

Sample Lesson Plan: This section includes a brief intro to Generative AI.

Generative AI and Academic Work

Resource: This section includes information on GAI and academic integrity violations.

Generative AI, Academic Integrity and the Honor Code

Resource: This section includes information on GAI and academic integrity violations.