

EP 525: AI-Informed, Human-Led: Thoughtful AI Use in Qualitative Research
14 snips May 14, 2025
Claire Moran, an Irish qualitative research educator with a PhD in health psychology, joins the discussion on the evolving landscape of qualitative research in the age of AI. They explore how AI accelerates processes like transcript cleaning and pattern identification but warn against over-reliance that risks losing human insights. Claire emphasizes the importance of training, human-led analysis, and critical thinking to navigate AI's limitations. The conversation highlights the need for a careful balance between automation and the interpretive depth that only humans can provide.
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Qualitative Research Explainer
- Qualitative research focuses on meaning and experiences, not on numerical data or definite answers.
- Researchers tell one story among many possible interpretations of the data, emphasizing multiple valid perspectives.
Use AI for Routine Tasks
- Use AI for routine tasks like transcribing interviews and summarizing literature to save time.
- Retain control over analysis as human-led interpretation is crucial to avoid outsourcing critical thinking.
AI Can't Replace Human Interpretation
- AI can speed up efficiency and accessibility in research but cannot replace the interpretive work of analysis.
- Human-led analysis preserves critical thinking and philosophical underpinnings of qualitative research.