Using AI in Qualitative Research: What you gain and what you risk

Learn how to use AI in qualitative research without losing depth, rigour, or your role as the researcher.

Time and location

12pm Australian Eastern Standard Time
This is a virtual event.

Overview

AI tools like ChatGPT and Claude are increasingly being used in qualitative research; from summarising literature to supporting analysis and drafting writing.

But many researchers are still unsure:

• Where do these tools actually fit in the research process?
• When do they support rigour and when do they undermine it?
• How do you use AI without losing depth, interpretation, or confidence in your analysis?

This session offers a clear, structured way to think about these questions.

What we’ll cover

• Where AI can (and can’t) support different stages of the qualitative research workflow
• What AI is actually doing when it generates summaries, codes, or text
• The difference between pattern recognition and interpretive analysis
• The risks of using AI without a clear framework
• How to work with AI in a way that supports — rather than replaces — your thinking

Who should attend?

• PhD students and early-career researchers
• Academic staff and educators
• Research practitioners working with qualitative data

Particularly those who are:

• already experimenting with AI tools
• or considering how they might fit into their research practice

Why join?

This session is designed to help you step back and make sense of where AI fits in your research process.

So that you can use it more deliberately — without losing the depth, interpretation, and rigour that qualitative research depends on.

If you’re already experimenting with AI, or trying to work out where it fits, you’re very welcome to join.

Next steps

We’ll also share details of the upcoming AI in Qualitative Research Masterclass (May 11–12) for those who want to go deeper into applying this approach in practice.

Interested in training for your institution?

I also deliver tailored training for research groups, faculties, and organisations.
Get in touch: claire@clairemoran.com

What past participants say

“Claire’s training provided both theoretical knowledge and practical skills for conducting qualitative analysis. Her friendly teaching approach and use of case-based learning significantly enhanced my understanding and confidence.”
Pradeepa Korale-Gedara, Postdoctoral Research Fellow – Food Systems Horizons

"The course was absolutely excellent. You managed to make a nebulous topic very clear, understandable and most importantly implementable!"
Maria Farris, PhD Candidate, Centre for Health Economics Research and Evaluation, University of Technology Sydney

“I got so much out of this workshop and am excited to get to work on my research, especially knowing that Claire will be there if I need further support in the future.”
Elizabeth Boardman, PhD Candidate and Project Officer, Queensland Centre for Domestic and Family Violence Research, Central Queensland University