AI in qualitative research

Abstract

Since May 2024, more than 20 researchers using qualitative methods and education staff at ITM have been collaborating to explore, test, and critically evaluate AI-assisted tools (including Claude (Anthropic), NVivo Assistant, and Atlas.ti) for qualitative data analysis. The group meets to share experiences and build evidence-based guidance on potential green and red lines of AI use in qualitative inquiry. We are paying particular attention to risks such as algorithmic bias, loss of contextual depth, data privacy, the erosion of researcher interpretation, and the economic and environmental costs of conducting AI-assisted research. The initiative also serves as a knowledge hub for monitoring emerging developments in the field with potential implications for the ethical conduct of research and research integrity. We aim to keep active communication channels with instances such as the ITM AI Committee and the Institutional Review Board, as well as researchers, teaching staff, and students currently navigating the evolving landscape of AI in qualitative research.