Rethinking qualitative analysis: Do we really need a faster horse?

Rethinking qualitative analysis: Do we really need a faster horse?

In this episode, Lisa and Tom, your AI hosts, explore the evolving role of generative AI in qualitative data analysis based on a blog written by Dr. Susanne Friese. While AI tools can assist with tasks like summarizing data, Susanne argues that they are not yet capable of replacing the nuanced work of human coding and analysis. Lisa and Tom expand on this, engaging in a lively debate about AI’s limitations—especially when it comes to understanding extended contexts and summarizing long documents.

Tom and Lisa advocate, alongside Friese, for a reimagining of methodologies—where the real potential of AI isn’t just in performing tasks faster, but in pushing the boundaries of what qualitative analysis can achieve.

Tune in to this thought-provoking conversation, as we critically examine AI's role in reshaping the future of research while staying grounded in human expertise.


Original blog post by Dr Susanne Friese:

Rethinking Qualitative Data Analysis: Do we truly want a faster horse?

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