Generative AI Resources for Faculty
Additional Resources
Resource Guides
https://libguides.luc.edu/ChatGPT
https://cromwellctl.org/2023/01/20/resources-learning-about-machine-learning/
What is ChatGPT?
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
https://seantrott.substack.com/p/large-language-models-explained/
Generative AI And Accessibility
https://www.chronicle.com/article/how-chatgpt-could-help-or-hurt-students-with-disabilities
AI and Bias
Brian Christian, The Alignment Problem (Norton, 2020). Christian has written extensively about the ways that algorithms and AI reflect and reinforce gender and racial biases in this book; you can hear him discussing it with Ezra Klein on the Ezra Klein Show.
Academic Integrity, Ethics, & Citation
Alexander Amigud & Thomas Lancaster, 246 reasons to cheat: An analysis of students’ reasons for seeking to outsource academic work, Computers & Education, Volume 134 (2019): 98-107.
Disciplinary Guidance
APA: How to cite ChatGPT
Thinking Creatively
Chris M. Anson & Ingeride S. Straume, “View of Amazement and Trepidation: Implications of AI-Based Natural Language Production for the Teaching of Writing.” Journal of Academic Writing 12.1 (Winter 2022): 1-9.
Kevin Roose, Futureproof: Nine Rules for Humans in the Age of Automation (Random House, 2021).Learn more about the technology, including ethical, privacy, and equity concerns.
Reflect on, develop, and communicate your own classroom policies toward generative AI.
Consider revising your assignments to disincentivize shortcuts, to make learning goals transparent, and to prioritize student voice and ideas.