Summary

oin hosts Lisa and Tom as they delve into Dr. Susanne Friese’s thought-provoking blog on the potential for bias in AI systems used for qualitative research. In this episode, they explore Friese’s perspective on how AI, despite its impressive capabilities, is influenced by the biases embedded in the data it learns from, including human-created sources like scientific literature. Lisa and Tom discuss Friese’s argument that instead of chasing the impossible ideal of unbiased data, researchers should engage with AI interactively, recognizing and addressing biases through critical self-reflection and intentional prompting. They highlight Friese’s reminder that core qualitative research skills, particularly reflexivity, are vital for working effectively with AI. Tune in to hear their insights on her balanced view that encourages both embracing AI’s potential and understanding its limitations.

This episode is based on the following blog: https://qeludra.com/blog/ai-bias-qualitative-research