LibGuides, Resources, and Takeaways from LTI’s ChatGPT Webinar

Our list of user-submitted AI resources

Posted on September 27, 2023 in Blog Posts

Last week, Choice and LibTech Insights had the pleasure of welcoming Dr. Leo Lo to give an excellent webinar on generative AI and ChatGPT, “CLEARer Dialogues with AI: Unpacking Prompt Engineering for Librarians.” Without giving too much away, we have future webinars planned on this topic, so be sure to subscribe to our webinar newsletter.  

But before we look too far into the future, we want to recap the webinar and provide a list of the cool resources attendees dropped into the Q&A so we don’t lose track of them. Part of the reason we started LibTech Insights was that we realized this field is too large for any single librarian or library to go it alone. We share these resources in the spirit of collective investigation and collaboration, and hope you find them useful in your own learning and endeavors. 

🎥 Webinar recording 

For those of you who missed the webinar or want to revisit it, you’re in luck, because we uploaded the recording to our YouTube channel. Dr. Lo graciously provided us with a copy of the slides. 

📊 Audience polls on ChatGPT usage and familiarity 

During the course of the talk, we conducted two quick polls, the first on ChatGPT usage and the second on familiarity with prompt engineering. The polls found that the majority of viewers had experimented with ChatGPT and, unsurprisingly given the purpose of the webinar, that most had less comfort with “prompt engineering,” that is, using specific commands to tailor generative AI outputs. The CLEAR framework Dr. Lo outlines hopefully boosted comfort levels by the end of the talk and will guide further engagement with AI tools. 

📚 Resources on ChatGPT and generative AI 

Prompt engineering and generative AI resources 

• Leo S. Lo’s “The CLEAR path: A framework for enhancing information literacy through prompt engineering” (Elsevier) 
• Vanderbilt University’s prompt engineering course (Coursera) 
• Denys Dinkevych’s CRISPE prompt engineering framework (Medium) 
• Oguz A. Acar’s “AI Prompt Engineering Isn’t the Future” (Harvard Business Review) 
• Frabrizio Dell’Acqua et al.’s study of the effects of AI on productivity and quality (Harvard Business School) 

Legislation on AI 

• US Copyright Office’s study on copyright issues and AI (Federal Register) 
• Cat Zakrzewski et al.’s reporting on the call from tech leaders to act on AI (Washington Post) 

LibGuides on ChatGPT and AI 

• Briar Cliff University 
• Bridgewater State University 
• Essex County College 
• Florida International University 
• Hillsborough Community College 
• Montana State University 
• Mount Sinai 
• Northeast Lakeview College (faculty) 
• Northeast Lakeview College (students) 
• Penn Foster 
• State College of Florida (faculty) 
• State College of Florida (students) 
• Texas Tech University 
• Tidewater Community College 

If you’d like a LibGuide added to this list, just email us. And if you’re developing a LibGuide on ChatGPT and generative AI, we have some articles of our own to humbly suggest for your inclusion. 

Thank you everyone who came, viewed, and participated in the webinar. We hope you can make use of these excellent resources.

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✍️ Interested in contributing to LTI? Send an email to Deb V. at Choice with your topic idea.

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