ChatGPT/ AI & Library Research: Resources

1. Article about the future of research practices. ChatGPT incorrectly summarizes information.
   • van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224–226. 
2. An overview article on how this will affect international education as a whole.
   • Yu, H. (2023). Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. 
3. Articles from scratch. 
   • Conroy, G. (2023). Scientists used ChatGPT to generate an entire paper from scratch—But is it any good? Nature. 
4. Chat GPT makes up citations.
   • Manohar N, Prasad SS. (2023). Use of ChatGPT in Academic Publishing: A Rare Case of Seronegative Systemic Lupus Erythematosus in a Patient With HIV Infection. Curēus.15(2):e34616. 
5. Chat GPT makes up information and citations
   • Sloan, K. (2023, May 30)  A lawyer used ChatGPT to cite bogus cases. What are the ethics?  Reuters. 
6. Increase in AI-generated books and spread of misinformation.
   • Martin, C. (2023, May 12). ChatGPT-written books with ChatGPT-written fake reviews are flooding Amazon. Windows Central.

Chronicle of High Education (subscription via Cowles Library)

1. Lang, J.M. (2023, April 4). Advice. How to Create Compelling Writing Assignments in a ChatGPT Age. 
2. McMurtie, B. (2023, March 6). ChatGPT Is Already Upending Campus Practices. Colleges Are Rushing to Respond.    
3. Mills, A.R. (2023, March 23). Advice. ChatGPT Just Got Better. What Does That Mean for Our Writing Assignments?   
4. Terry, O.K. (2023, May 12). Opinion. I’m a student. You have no idea how much we’re using ChatGPT. No professors or software could ever pick it up. 
5. McMurtrie, B, Supiano B. (2023, June 13). Caught Off Guard by AI. Professors scrambled to react to ChatGPT this spring — and started planning for the fall.  

AI platforms collect information from various sources across the internet. There is a lack of transparency around the datasets that these AI platforms are currently using. The problem is not only around the transparency of sources but also that the biases inherent to the web have been transferred to the artificial intelligence platforms themselves. Therefore artificial intelligence responses can contain racial and gender stereotypes and other various biases (e.g. bias against disability, age, sexual orientation etc.) in both image and language-based models.  

Bias in Text to Image-based AI 

Bias in Language-Based (Text to Text) AI models

Other Resources

Here are some resources that relate to libraries, writing, syllabi and ChatGPT & AI.

Learn how to use ChatGPT and other AI tools with the free and open-source curriculum on learnprompt.org in order to get the best results.

• https://learnprompting.org/  (pick your skill level)
• https://learnprompting.org/docs/category/-basics (categories)
• https://learnprompting.org/docs/basics/pitfalls (pitfalls)

• Prompt engineering for educators – making generative AI work for you University of Sydney (27 April, 2023)
• Practical AI for Instructors and Students Part 3: Prompting AI [video]
• Assigning AI: Seven Approaches for Student with prompts.

• C.W. Howell: Undergrad class critical assignment example
• Damien P. Williams: The consequences of using ChatGPT in the legal world
• John Warner: How we should be thinking about ChatGPT
• John Warner: Teaching writing in an AI world
• Project Information Literacy: Getting a grip on ChatGPT
• Jesse Stommel: ChatGPT, biases, & stereotypes
• Alvaro Cintas: How Google is Integrating AI into Google Docs