AI tools can be helpful in analysing quantitative data, but their potential utility in qualitative analysis might be less obvious, or even concerning. In this episode of the IDEMS Podcast, data scientist Lily Clements and social impact scientist Lucie Hazelgrove Planel discuss the usage of generative AI in analysing qualitative data. They explore the ethical implications, the importance of context, and the challenge of addressing biases in AI-generated analyses, as well as the evolving intersection of AI with traditional qualitative research methods.