Generative Artificial Intelligence (GenAI) in Higher Education

This guide collects resources on artificial intelligence (AI), especially generative AI, in higher education to benefit students, faculty, and staff at SHSU.

Do's and Don'ts of ChatGPT for Research

First of all, differentiate between GenAI chatbots, such as ChatGPT or Claude, and other kinds of AI-powered research tools which may be trained to identify or connect scholarly research, such as Elicit or Research Rabbit. If you want to experiment with using AI in your research activities, ensure you choose a tool appropriate for each given purpose.

 

With regards to chatbots like ChatGPT, Litmap's Project Lead, Digl, suggests:

DO use ChatGPT to:

  1. Summarize existing papers. Use handy tricks like “Give me 5 bullet points with a 300 word maximum” to get swift responses.

  2. Create a paper outline

  3. Rephrase and fix grammar. Plus, you can ask for explanations.

  4. Write code

DON'T use ChatGPT to:

  1. To find references or papers. ChatGPT is notorious for making up references, including author names, titles, and years of publication. You can even accuse it of doing so, and it happily fesses up.

  2. Learn new information. Use summaries as guidelines or pointers to prioritize. Not checking ChatGPT’s responses means potentially trusting its hallucinations.

  3. Write your finished text for you.

  4. Math, maybe. This was a more serious issue at the launch of ChatGPT, but has potentially since been resolved with recent updates.

Source:

Resources on GenAI in Scholarly Research

GenAI has has pros and cons for conducting research and writing papers.

Finding the Balance

"The issues with generative AI chatbots are known: accountability, potential to propagate bias, and not-always-reliable accuracy. But they can also help us humans to think in different and creative ways, and to streamline tedious tasks, which may ultimately be a boon for burdened researchers.

“'Think of GPTs not as a database but as a large collection of extremely smart economists, historians, scientists, and many others whom you can ask questions,' says..." "Tyler Cowan, economist and author of “How to Learn and Teach Economics with Large Language Models, including GPT,” a paper with relevance far beyond economics."

Source:

AI Authorship: Publication Policies

A.I. and the Researcher: ChatGPT & DALL-E in Scholarly Writing & Publishing (Feb 2023)

NOTE: This workshop was presented/recorded in Feb 2023, and thus some details may be outdated.

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